WEBVTT NOTE duration:"00:55:29" NOTE recognizability:0.834 NOTE language:en-us NOTE Confidence: 0.929481246666667 3cdb026f-390b-4456-83a9-c4325c0365bc 00:00:11.560 --> 00:00:14.577 Hello everyone. Welcome to the United States NOTE Confidence: 0.929481246666667 ededccfa-ad68-4e19-a514-7e10ad174400 00:00:14.577 --> 00:00:16.879 Geological Survey Public lecture series. NOTE Confidence: 0.929481246666667 08e48b79-e8ce-4ee0-a4b4-771714552bb9 00:00:16.880 --> 00:00:19.220 Thank you for joining us this evening and at NOTE Confidence: 0.929481246666667 cc6a98e6-f2b8-42d8-aa5f-723dfe6fd1b4 00:00:19.220 --> 00:00:21.654 our new start time of 6:00 PM Pacific Time. NOTE Confidence: 0.929481246666667 9a941be9-6d9f-43f0-bf80-18b5524ed4a6 00:00:21.660 --> 00:00:23.574 We're hoping this will give our NOTE Confidence: 0.929481246666667 47568c34-76a4-4a9e-8deb-1052fe282ed3 00:00:23.574 --> 00:00:25.503 Central and Eastern states folks a NOTE Confidence: 0.929481246666667 d77d9a43-8d74-4626-a212-96ee34ef082e 00:00:25.503 --> 00:00:27.279 better opportunity to join us live. NOTE Confidence: 0.929481246666667 f109cdda-b5b6-411b-9846-98b9e8b1d7ef 00:00:27.280 --> 00:00:29.485 My name is Christy Ryan and I will be NOTE Confidence: 0.929481246666667 b09231f2-79d8-4c0b-83a0-660ae39eff72 00:00:29.485 --> 00:00:31.656 your host and moderator this evening. NOTE Confidence: 0.929481246666667 c992dcce-b94b-4901-a842-deb2299ccb88 00:00:31.660 --> 00:00:33.280 Before I introduce our speaker, NOTE Confidence: 0.929481246666667 9e829fcf-1aea-4ed3-affc-526d7aff047c 00:00:33.280 --> 00:00:35.345 I just have a few announcements to NOTE Confidence: 0.929481246666667 c29fe67b-0e97-433e-bcbb-d3da9bd1767c 00:00:35.345 --> 00:00:37.132 make and hopefully this will give NOTE Confidence: 0.929481246666667 ce2524e8-be12-4618-868c-db1efc357685 00:00:37.132 --> 00:00:39.413 others out there in virtual world a few NOTE Confidence: 0.929481246666667 1a449042-7919-4c5d-84e8-9ab0cec3dca0 00:00:39.413 --> 00:00:41.284 extra minutes to get logged in first. NOTE Confidence: 0.929481246666667 ee4b39ea-ce56-49df-93b0-54a0c1574041 00:00:41.284 --> 00:00:43.889 I wanna give you a heads up on our lecture NOTE Confidence: 0.929481246666667 2f789eac-53af-4208-80ed-84348872c4a4 00:00:43.889 --> 00:00:46.290 for next month that we have scheduled. NOTE Confidence: 0.929481246666667 7d82ce48-e1a6-4c50-920f-abe80478159f 00:00:46.290 --> 00:00:48.166 This one will be on May 26th NOTE Confidence: 0.929481246666667 b395abf1-ed61-4e45-a30d-62f3ce54cccf 00:00:48.166 --> 00:00:50.109 and we will have Paul Young, NOTE Confidence: 0.929481246666667 a8f6dcf4-d404-4868-b8cf-e49e3296c859 00:00:50.110 --> 00:00:52.810 director of the USGS National Civil NOTE Confidence: 0.929481246666667 72c87119-d95e-4e88-a81f-bbcd18cd391d 00:00:52.810 --> 00:00:55.886 Application Center and the title of his NOTE Confidence: 0.929481246666667 01f8df5f-38c2-475b-932a-eb8980131a41 00:00:55.886 --> 00:00:58.679 talk will be using military remote sensing NOTE Confidence: 0.929481246666667 c9c79360-f3ba-4a44-918d-a6ce0a1d8a3c 00:00:58.760 --> 00:01:01.195 technologies to support federal civil NOTE Confidence: 0.929481246666667 22383f4a-ea92-4126-a57d-b2be61dea435 00:01:01.195 --> 00:01:03.942 agency science sunk cost well spent. NOTE Confidence: 0.929481246666667 367dc0ae-7d90-4ea1-be72-fb9711ed4bd7 00:01:03.942 --> 00:01:07.160 So we hope you'll join us next month as well. NOTE Confidence: 0.929481246666667 a7b12fae-1ebb-4a16-a51e-40ed00b42cab 00:01:07.160 --> 00:01:09.275 And at the end of the lecture I will NOTE Confidence: 0.929481246666667 0ceeca9a-5993-4bd8-ae4a-fb9e4a46a637 00:01:09.275 --> 00:01:11.262 provide information on how to join our NOTE Confidence: 0.929481246666667 60f9dd93-fcae-4546-9211-d7311bd34dd6 00:01:11.262 --> 00:01:13.249 mailing list so you'll be in the know. NOTE Confidence: 0.929481246666667 cc3ea853-fc37-4424-b4ee-9ddf9f259c3e 00:01:13.250 --> 00:01:15.458 On all future talks. NOTE Confidence: 0.929481246666667 55a02983-6f29-453e-b08a-3b3694f952a8 00:01:15.460 --> 00:01:17.525 So the next part of the announcements NOTE Confidence: 0.929481246666667 0bf5237b-40d6-4dde-b7c4-d783c1919441 00:01:17.525 --> 00:01:20.250 is I want to give you some tips on NOTE Confidence: 0.929481246666667 5d5e83f1-508a-464a-927b-79ca0543c47d 00:01:20.250 --> 00:01:22.181 this teams platform in case you're NOTE Confidence: 0.929481246666667 d1bc9372-dad0-4e15-adda-33fbbda39b68 00:01:22.181 --> 00:01:23.886 new to our lecture series. NOTE Confidence: 0.929481246666667 f6ba1cc2-7090-4108-aeb5-8e459255fdcf 00:01:23.890 --> 00:01:26.058 If you're watching this on a desktop computer NOTE Confidence: 0.929481246666667 c87061fa-ed53-4dd2-b606-61759e55f849 00:01:26.058 --> 00:01:28.108 and need to turn on closed captioning, NOTE Confidence: 0.929481246666667 a3803723-b792-4328-bbd1-66647c6cf6f8 00:01:28.110 --> 00:01:29.979 go ahead and look at the bottom NOTE Confidence: 0.929481246666667 64a85af6-8a2a-4e37-8044-5ffa2d903380 00:01:29.979 --> 00:01:31.715 right hand corner of your screen NOTE Confidence: 0.929481246666667 734709cc-5153-484a-8392-391a83b9681f 00:01:31.715 --> 00:01:33.180 for the closed caption icon. NOTE Confidence: 0.929481246666667 d177170a-cc98-47c4-9fe3-3628d6f2d5de 00:01:33.180 --> 00:01:34.872 Another feature we want to direct NOTE Confidence: 0.929481246666667 ddb132dd-8d89-403e-9997-72157a26babd 00:01:34.872 --> 00:01:36.687 your attention to is the question NOTE Confidence: 0.929481246666667 23c4bbea-f2b2-4096-bafe-6ce3b8c5c2da 00:01:36.687 --> 00:01:37.629 and answer panel, NOTE Confidence: 0.929481246666667 ab03f018-1ea8-43e5-bd2b-2bdd9ae26643 00:01:37.630 --> 00:01:39.408 and that can be opened by clicking NOTE Confidence: 0.929481246666667 9ceef9df-40ef-4629-8d09-d8a9d65ae3cc 00:01:39.408 --> 00:01:41.207 the question Mark icon in the upper NOTE Confidence: 0.929481246666667 c8434b6e-96e6-4211-ad38-e085264d80bb 00:01:41.207 --> 00:01:42.677 right hand corner of your screen NOTE Confidence: 0.929481246666667 6969bde8-22a3-404e-a0b8-d92d1ba92ef5 00:01:42.726 --> 00:01:43.998 at the end of the lecture, NOTE Confidence: 0.929481246666667 a083d5b1-a475-4088-aacc-b001069c047f 00:01:44.000 --> 00:01:45.880 we will have a Question and answer session with our NOTE Confidence: 0.929481246666667 652f96dd-0a46-44d9-ad30-541717b61918 00:01:45.880 --> 00:01:47.525 speaker and this is a panel where NOTE Confidence: 0.929481246666667 bfc3f0ce-9810-47c9-b21e-25b77e2cd55b 00:01:47.525 --> 00:01:49.280 you're going to want to submit your NOTE Confidence: 0.929481246666667 082b5664-d61f-413d-98f0-77487acb25f9 00:01:49.280 --> 00:01:51.630 questions for him and just in advance. NOTE Confidence: 0.929481246666667 d307e0d4-0506-43ac-ba5d-647525eed3ca 00:01:51.630 --> 00:01:52.370 Just understand, NOTE Confidence: 0.929481246666667 8cb5e47e-2542-4f38-9ee5-04567219fe73 00:01:52.370 --> 00:01:54.001 we may not have time to get NOTE Confidence: 0.929481246666667 39f0aed4-9689-4167-946a-181e057f7ddd 00:01:54.001 --> 00:01:54.700 to everyone's question. NOTE Confidence: 0.929481246666667 c8df2a0a-c140-47fc-9336-78ef44f0f638 00:01:54.700 --> 00:01:56.746 But we're gonna do our best. NOTE Confidence: 0.929481246666667 44dcd663-120a-4463-beeb-eeffd751c1b1 00:01:56.750 --> 00:01:58.346 So now let's get started with NOTE Confidence: 0.929481246666667 e6e67a52-527c-4525-9202-a34746a5f030 00:01:58.346 --> 00:01:59.900 our lecture for this evening. NOTE Confidence: 0.929481246666667 a0d7a9cd-1ebc-4c39-9b55-004d85d4ce14 00:01:59.900 --> 00:02:02.174 And tonight we have the pleasure NOTE Confidence: 0.929481246666667 dcecd013-2b2a-4f22-8f6a-74aff3f493dd 00:02:02.174 --> 00:02:03.690 of welcoming Justin Welty NOTE Confidence: 0.929481246666667 5be8c4a7-1e1c-48f1-93f6-853be4be4610 00:02:03.690 --> 00:02:05.885 Justin is a biologist and NOTE Confidence: 0.929481246666667 dc7cbfa8-49a4-44da-ae00-7f566e058d6a 00:02:05.885 --> 00:02:08.779 ecologist with the USGS Forest and NOTE Confidence: 0.929481246666667 534cf907-eca2-42fc-8cbb-4f2a908580bf 00:02:08.779 --> 00:02:11.227 Rangeland Ecosystem Science Center. NOTE Confidence: 0.929481246666667 85e27261-2c25-4f80-a232-c7531a3ffc39 00:02:11.230 --> 00:02:12.246 Since 2008, NOTE Confidence: 0.929481246666667 ed920d5d-4f6d-4e45-a0a6-133af42c743a 00:02:12.246 --> 00:02:14.786 Justin has specialized in spatial NOTE Confidence: 0.929481246666667 801338b6-82d1-418d-9e2b-e97f7f5d9d8c 00:02:14.786 --> 00:02:16.942 data programming, data analysis, NOTE Confidence: 0.929481246666667 ce6c8e77-87ce-4c46-8362-0a5629466930 00:02:16.942 --> 00:02:19.206 database design, website design, NOTE Confidence: 0.929481246666667 ee12d199-38ba-4816-8e4e-a8fcdd9a3cdc 00:02:19.210 --> 00:02:20.308 and general scripting. NOTE Confidence: 0.929481246666667 a490545b-04e1-4e2b-9c97-1bbc7d155aee 00:02:20.308 --> 00:02:22.870 He's worked to create and maintain multiple NOTE Confidence: 0.929481246666667 15e2e976-bc3f-4a6c-af5e-b48919cf87c2 00:02:22.935 --> 00:02:25.101 big data datasets that contribute to NOTE Confidence: 0.929481246666667 0f3c5133-2d83-42e4-a5c5-1c3c6c6a4d2a 00:02:25.101 --> 00:02:27.160 both research and management decisions. NOTE Confidence: 0.929481246666667 75fe2bf3-0257-4c78-94a1-c960d3915e23 00:02:27.160 --> 00:02:30.436 Across the West, including the USGS, NOTE Confidence: 0.929481246666667 07cba5ca-021b-4e30-afd1-bd34d6723343 00:02:30.440 --> 00:02:33.240 combined wildland fire data set, NOTE Confidence: 0.929481246666667 bb12e341-f38f-4337-9c83-b51953a865e3 00:02:33.240 --> 00:02:34.484 land treatment, NOTE Confidence: 0.929481246666667 d13d347c-fcc0-487c-ac5b-a34d6a16332a 00:02:34.484 --> 00:02:36.972 digital library and conservation NOTE Confidence: 0.929481246666667 a2312ada-588f-425d-8a5f-2c0707ef10c5 00:02:36.972 --> 00:02:39.516 efforts database in his free time, NOTE Confidence: 0.929481246666667 8083d13f-dda3-4e36-a429-2e597057b93f 00:02:39.516 --> 00:02:41.846 Justin enjoys being a husband and father NOTE Confidence: 0.929481246666667 66446590-1587-4c08-9e0b-d8bc0b5e9b23 00:02:41.846 --> 00:02:44.390 to his two children as well as biking, NOTE Confidence: 0.929481246666667 d6123731-6fa8-4ba4-9360-e23991d961a2 00:02:44.390 --> 00:02:47.120 nature photography and working on his house, NOTE Confidence: 0.929481246666667 0b7ec42c-9cd1-4d1c-8034-e0bc86dab3d7 00:02:47.120 --> 00:02:48.845 yard and garden. NOTE Confidence: 0.929481246666667 d78eb69e-2a73-4bfc-aa96-720e47e022c4 00:02:48.845 --> 00:02:51.145 So without further ado, NOTE Confidence: 0.929481246666667 75e4000f-fd06-40f8-9980-dee6be857694 00:02:51.150 --> 00:02:53.262 let's all give a warm virtual NOTE Confidence: 0.929481246666667 38ad9e36-f59e-4097-87d7-4152059d457d 00:02:53.262 --> 00:02:54.318 welcome to Justin. NOTE Confidence: 0.929481246666667 6c78e273-6c38-405b-9d2d-28a8929ce098 00:02:54.320 --> 00:02:56.048 Justin the floor is all yours. NOTE Confidence: 0.87042604375 ef0db256-c5e6-4217-a6a3-5b7bf29691de 00:03:02.770 --> 00:03:05.525 Thank you and thank you NOTE Confidence: 0.87042604375 1ffbd326-ddaa-4f38-b8cb-c96fe90844b0 00:03:05.525 --> 00:03:07.178 for that introduction. NOTE Confidence: 0.87042604375 cb7e6681-6f9d-46d9-b187-ebdc25ddba5d 00:03:07.180 --> 00:03:09.184 I also want to thank everyone NOTE Confidence: 0.87042604375 879baf11-95bd-4ae1-8d33-1842cd24c413 00:03:09.184 --> 00:03:10.790 out there for joining me. NOTE Confidence: 0.87042604375 4aa8e6cf-0131-4dc4-b3c6-903066ea9335 00:03:10.790 --> 00:03:13.868 So I wanna jump right in with the confession. NOTE Confidence: 0.87042604375 fdf8c961-4883-4e1f-8ddd-45a266647194 00:03:13.870 --> 00:03:16.738 I love big, complex, NOTE Confidence: 0.87042604375 17bf3df9-3828-4511-9ace-d827f5934fcf 00:03:16.738 --> 00:03:19.606 long-term scientific data sets. NOTE Confidence: 0.87042604375 4fbaba9c-5e51-4f7a-aeef-afd3c2f03d31 00:03:19.610 --> 00:03:20.810 At the beginning of this talk, NOTE Confidence: 0.87042604375 08f2ab2d-f37d-43d6-854b-bbf0e501c005 00:03:20.810 --> 00:03:23.050 you may find yourself asking why we NOTE Confidence: 0.87042604375 fa12a780-26a2-485d-a63b-e054e80cdf63 00:03:23.050 --> 00:03:25.405 need long term data on wildlands NOTE Confidence: 0.87042604375 108e3acd-c851-4723-8196-6c4e9a81b0d2 00:03:25.405 --> 00:03:27.610 areas with minimal human interaction. NOTE Confidence: 0.87042604375 1957c51a-6673-4d01-a7ec-db44260463db 00:03:27.610 --> 00:03:29.563 Why would knowing where a fire burned NOTE Confidence: 0.87042604375 f28686e8-71ab-446c-a3eb-f3afe0d040ee 00:03:29.563 --> 00:03:31.968 or a land treatment occurred 20, 50 NOTE Confidence: 0.87042604375 6696d978-2a8e-4317-9afd-a886d244e128 00:03:31.968 --> 00:03:35.034 or even 100 years ago even matter? NOTE Confidence: 0.87042604375 28debbfb-3569-475b-9680-99e4666efa43 00:03:35.040 --> 00:03:37.059 If I do my job right by the end of this talk, NOTE Confidence: 0.87042604375 b7cf588f-be0d-4161-a429-ed106f5fbb1d 00:03:37.060 --> 00:03:39.181 I'm hopeful you will have a better NOTE Confidence: 0.87042604375 b237ae02-7e53-4784-b4fb-31461e109b36 00:03:39.181 --> 00:03:40.958 appreciation for long term data sets. NOTE Confidence: 0.87042604375 3fd333ff-26db-47f6-ac42-03945bc85eb8 00:03:40.960 --> 00:03:43.728 Why do we need them and the amazing NOTE Confidence: 0.87042604375 f99458fd-a9c3-4f5a-b840-64d319aa7555 00:03:43.728 --> 00:03:46.645 things we can do once we collect them. NOTE Confidence: 0.87042604375 31b7f598-478f-47e2-b062-9317e90cd1b4 00:03:46.650 --> 00:03:48.330 Whether we realize it or not, NOTE Confidence: 0.87042604375 d6511aea-3ae0-44ea-a3b0-50120535a260 00:03:48.330 --> 00:03:50.755 knowing about our past is NOTE Confidence: 0.87042604375 6fc9ab5d-db97-43ad-a91a-64e4df866f33 00:03:50.755 --> 00:03:51.725 critically important. NOTE Confidence: 0.87042604375 d351b68d-4f0c-4fc8-98d7-d932d3b63e09 00:03:51.730 --> 00:03:54.005 There is a quote out NOTE Confidence: 0.87042604375 5bdc2ccd-cec7-4aa5-ac19-e66a92dc19c1 00:03:54.005 --> 00:03:55.825 there by George Santiana. NOTE Confidence: 0.87042604375 47b64592-eea8-44c6-b04c-49d603f8e292 00:03:55.830 --> 00:03:56.930 But just like everything else, NOTE Confidence: 0.87042604375 e9edc590-a1ae-497c-be4b-3f568361b208 00:03:56.930 --> 00:03:58.286 I'm going to talk about tonight, NOTE Confidence: 0.87042604375 e40ec6ff-01ff-430b-80ed-0f5256db7c6b 00:03:58.290 --> 00:03:59.790 getting the details and NOTE Confidence: 0.87042604375 541c83dc-1338-49b2-878c-2497e1a00f3c 00:03:59.790 --> 00:04:01.290 the context right matter, NOTE Confidence: 0.87042604375 b1ef9f1c-e997-4abe-b4d2-00701fd7a3cd 00:04:01.290 --> 00:04:02.830 that's not actually his name. NOTE Confidence: 0.87042604375 16db453c-f32e-4625-8458-4ad8f73e725b 00:04:02.830 --> 00:04:05.448 It's the simplified English version of it. NOTE Confidence: 0.87042604375 3f714536-376b-4103-a2e8-43a7007897ee 00:04:05.450 --> 00:04:07.808 His real name is Jorge Agustin, NOTE Confidence: 0.87042604375 de921c48-70bc-4de4-809d-4f96ffde351f 00:04:07.810 --> 00:04:10.690 Nicolas Ruiz de Santayana y Borras. NOTE Confidence: 0.87042604375 8475b02e-28f6-497f-bd48-438780d444a9 00:04:10.690 --> 00:04:13.140 And in 1905 he published his reasoning NOTE Confidence: 0.87042604375 da1e97da-72b5-4e69-bbec-fd8a51bd1194 00:04:13.140 --> 00:04:15.939 common sense of his four part examination, NOTE Confidence: 0.87042604375 ac8fda6f-54bc-4182-a1c5-a6d9e42797df 00:04:15.940 --> 00:04:17.200 the life of Reason, NOTE Confidence: 0.87042604375 8f12722f-daa2-4d9d-a834-b22f3765a642 00:04:17.200 --> 00:04:20.118 and produced a famous quote that is just as NOTE Confidence: 0.87042604375 898a49ff-64fe-4b24-9e1f-3f0fcc440b46 00:04:20.118 --> 00:04:22.365 often misquoted as it is quoted correctly. NOTE Confidence: 0.87042604375 16480a29-47c8-4cb7-8daf-d317d4fee729 00:04:22.370 --> 00:04:24.358 But it's very pertinent to our discussion NOTE Confidence: 0.87042604375 64ac3366-429d-4532-b139-d39218dc9b3f 00:04:24.358 --> 00:04:26.181 this evening, and it's important. NOTE Confidence: 0.87042604375 fc5997ff-c7b4-4728-a96e-85ea848ec2b4 00:04:26.181 --> 00:04:27.849 To get it right. NOTE Confidence: 0.87042604375 31f9792f-913d-4dfb-8cc4-01643862517a 00:04:27.850 --> 00:04:30.570 Progress far from consisting and NOTE Confidence: 0.87042604375 ce8b1b8c-22f2-483a-a8d2-81698a782233 00:04:30.570 --> 00:04:32.746 change depends on retentiveness. NOTE Confidence: 0.87042604375 a7d38f31-3931-458f-b120-a8aa2ab51c75 00:04:32.750 --> 00:04:33.998 When change is absolute, NOTE Confidence: 0.87042604375 f3fb6a1d-a26c-46a4-94da-6dedb1856b5c 00:04:33.998 --> 00:04:36.589 there remains no being to improve and no NOTE Confidence: 0.87042604375 dd48afff-137e-47bd-8975-4fff83258aba 00:04:36.589 --> 00:04:38.569 direction is set for possible improvement. NOTE Confidence: 0.87042604375 24143551-8b59-4bb1-89a3-e3c5c0121d18 00:04:38.570 --> 00:04:42.084 And when experience is not retained infancy, NOTE Confidence: 0.87042604375 c3f855a9-c377-4ada-92f1-2a44c7086d5a 00:04:42.090 --> 00:04:43.326 it is perpetual. NOTE Confidence: 0.87042604375 55dd78e1-3cd0-41b8-8824-78f43a431ffb 00:04:43.326 --> 00:04:45.386 Those who cannot remember the NOTE Confidence: 0.87042604375 7c92269b-dea9-41fe-9161-ea99d34ddd29 00:04:45.386 --> 00:04:48.018 past are condemned to repeat it. NOTE Confidence: 0.87042604375 2be60d95-333e-48fa-9d98-8d41b1a6a13a 00:04:48.020 --> 00:04:48.666 As scientists, NOTE Confidence: 0.87042604375 2f15dbf0-92a2-4384-83d8-0e306189501b 00:04:48.666 --> 00:04:50.927 we can use historical data to help NOTE Confidence: 0.87042604375 14665613-2aed-4dc2-a2f0-5c26179842c8 00:04:50.927 --> 00:04:52.931 explain past and current patterns and NOTE Confidence: 0.87042604375 5b618c0a-8b21-4484-9213-04f76b52e408 00:04:52.931 --> 00:04:55.180 model what the future might look like. NOTE Confidence: 0.87042604375 5000e1c0-2aab-4ce1-a24c-13c3c92ccf19 00:04:55.180 --> 00:04:57.394 Humans rely on correctly captured historical NOTE Confidence: 0.87042604375 377b4c86-ad3e-4b57-a54b-e67b8f4a6e4e 00:04:57.394 --> 00:05:00.057 data all the time in our daily lives, NOTE Confidence: 0.87042604375 1985ec26-4e8b-475c-9fb3-00b7e439ed40 00:05:00.060 --> 00:05:02.118 whether we realize it or not. NOTE Confidence: 0.87042604375 7aa13507-b18e-40e8-9290-fb04b18978e5 00:05:02.120 --> 00:05:04.136 So what is the long term data set? NOTE Confidence: 0.87042604375 cf1feac6-84bf-4fc9-975b-662fd5f89c91 00:05:04.140 --> 00:05:04.770 Put simply, NOTE Confidence: 0.87042604375 f454f7f8-cfc3-4e20-b0fc-50e46244645b 00:05:04.770 --> 00:05:07.290 it is any data set that capture data NOTE Confidence: 0.87042604375 acf4ec23-61fd-42e8-bdfb-2dd318aa9030 00:05:07.360 --> 00:05:09.656 on a subject over a period of time. NOTE Confidence: 0.87042604375 e1b7c658-7b6e-43da-b043-3f9760cce9aa 00:05:09.660 --> 00:05:12.396 Let's look at an example that many of us NOTE Confidence: 0.87042604375 d4cc8ba2-74aa-4370-94dc-11e6f1c6bcda 00:05:12.396 --> 00:05:15.538 can relate to digging in a residential area. NOTE Confidence: 0.87042604375 36e6e250-811a-40ee-b26c-d9ff4b0fb0c6 00:05:15.540 --> 00:05:16.518 This past December, NOTE Confidence: 0.87042604375 d2f68a73-0233-470b-888a-fef73b9b36a0 00:05:16.518 --> 00:05:19.266 the 63 year old water main that supplies NOTE Confidence: 0.87042604375 fb018cf3-edd1-408e-a89f-5dc330066d2b 00:05:19.266 --> 00:05:21.624 water to my house started leaking. NOTE Confidence: 0.87042604375 ad0836a0-3ff5-40db-9dbc-e73b236aacdb 00:05:21.630 --> 00:05:23.934 The excavation crew dug a 16 inch wide NOTE Confidence: 0.87042604375 58f31d68-91fe-45cb-978a-6515cb38afdb 00:05:23.934 --> 00:05:26.986 by 5 foot deep by 20 foot long trench in NOTE Confidence: 0.87042604375 bc37effe-8f2b-41e7-be99-08f081a8aed4 00:05:26.986 --> 00:05:29.668 our front yard to lay a new line for us. NOTE Confidence: 0.87042604375 3ad75d13-c320-4ed6-a50c-5ea6d18d5cc8 00:05:29.670 --> 00:05:31.430 Digging a massive trench through NOTE Confidence: 0.87042604375 3836c837-65ff-4fa9-ac5c-6bcf6c4c5070 00:05:31.430 --> 00:05:33.510 someone's property is not without risk. NOTE Confidence: 0.87042604375 5dc48630-ca71-401a-a817-46e8d627a9f7 00:05:33.510 --> 00:05:35.566 They had to miss the natural gas line, NOTE Confidence: 0.87042604375 378bf90b-6001-46e0-a63a-51ac0cb7965b 00:05:35.570 --> 00:05:35.873 which, NOTE Confidence: 0.87042604375 c383c382-466a-4947-937c-541850102070 00:05:35.873 --> 00:05:37.691 thanks to City Records we know NOTE Confidence: 0.87042604375 42a8901c-62ad-4d07-976a-1985f7a0df6f 00:05:37.691 --> 00:05:39.818 is under the raised flower beds. NOTE Confidence: 0.87042604375 b2ae73be-3c75-44ae-8145-0341e49a304e 00:05:39.820 --> 00:05:41.304 They wanted to miss the old water NOTE Confidence: 0.87042604375 3a0ff4ad-a189-4466-965b-bacd82b45f08 00:05:41.304 --> 00:05:43.169 main line so we could keep our water NOTE Confidence: 0.87042604375 c7c74e2c-0eac-42bc-ba42-c34d73b9d577 00:05:43.169 --> 00:05:44.696 running as long as possible throughout NOTE Confidence: 0.87042604375 5eda03b5-e91b-4609-b7d4-04196a4ff5c1 00:05:44.696 --> 00:05:46.472 the construction and the city records NOTE Confidence: 0.87042604375 c41c2b35-3f55-4cd2-9841-ce89a00adfc2 00:05:46.472 --> 00:05:49.788 placed it right beside where they dug. NOTE Confidence: 0.87042604375 7aff6d94-fd6c-47b2-9298-2757e7bf015c 00:05:49.790 --> 00:05:50.054 Additionally, NOTE Confidence: 0.87042604375 eb540779-b247-41ef-9e29-457141723c59 00:05:50.054 --> 00:05:51.638 there could be other buried pipes, NOTE Confidence: 0.87042604375 aa126dca-11d4-4c49-aceb-04059e3cbebd 00:05:51.640 --> 00:05:52.390 electrical wires, NOTE Confidence: 0.87042604375 0a69c544-bac3-4a0f-b3ae-1b877a952a8d 00:05:52.390 --> 00:05:53.890 and who knows what. NOTE Confidence: 0.87042604375 647f133e-1d39-416b-8076-6653c68721e3 00:05:53.890 --> 00:05:54.602 All else, NOTE Confidence: 0.87042604375 6d3aebf6-56c7-47a2-919f-d1c9c8fd025f 00:05:54.602 --> 00:05:55.670 including sprinkler lines, NOTE Confidence: 0.87042604375 13c4b275-cf9d-44df-9030-fdc26aee9435 00:05:55.670 --> 00:05:58.169 which they cut through in multiple locations. NOTE Confidence: 0.84282167 33f826f2-2176-4644-b6f4-d0ab54528e87 00:05:58.170 --> 00:05:59.689 That's the whole reason for the call. NOTE Confidence: 0.84282167 704ac685-69a1-4309-8385-6b6cf2781885 00:05:59.690 --> 00:06:00.990 Before you did commercials. NOTE Confidence: 0.84282167 71aa3795-5266-43ae-b65f-d82da86bf72d 00:06:00.990 --> 00:06:03.549 And the reason they capture all this data, NOTE Confidence: 0.84282167 d9dcf345-876d-4be4-b34a-7e3bbba35543 00:06:03.550 --> 00:06:05.188 you never know what you might NOTE Confidence: 0.84282167 14d5f3b2-bf6d-48f7-9831-b5eb76a8c10b 00:06:05.188 --> 00:06:07.189 hit if you just start digging. NOTE Confidence: 0.84282167 275199a2-ee2b-4571-a99a-62236cb09f50 00:06:07.190 --> 00:06:10.550 Not knowing our past can have unintended NOTE Confidence: 0.84282167 31950be4-0d09-47a1-8209-17c75bb9b805 00:06:10.550 --> 00:06:13.140 and even dangerous consequences. NOTE Confidence: 0.84282167 a6d45b83-44da-497b-b8f2-5c467c9462a2 00:06:13.140 --> 00:06:15.588 That's one example of a long term data set, NOTE Confidence: 0.84282167 65209b09-dda6-404f-8d03-cc340448368e 00:06:15.590 --> 00:06:17.795 but what about in the scientific world? NOTE Confidence: 0.84282167 9c569478-25fd-4cb5-ade3-60c2d83f7629 00:06:17.800 --> 00:06:18.538 Scientifically speaking, NOTE Confidence: 0.84282167 c3f0a867-d010-4e74-8763-8d2cf2fed0ad 00:06:18.538 --> 00:06:21.121 I would define long term data as NOTE Confidence: 0.84282167 0a681814-4849-4a2b-9307-42d087799247 00:06:21.121 --> 00:06:23.412 any data set that captures data in NOTE Confidence: 0.84282167 6de777ef-e6e2-46e5-a6e2-d79c80aa2caa 00:06:23.412 --> 00:06:25.679 enough detail and at a time period NOTE Confidence: 0.84282167 e896f668-03f1-478e-9263-ef8da7f40773 00:06:25.679 --> 00:06:27.617 long enough to identify a pattern, NOTE Confidence: 0.84282167 7baadd28-e279-4c03-a8d2-6aea72cb9581 00:06:27.620 --> 00:06:30.636 explain a trend or answer the question asked. NOTE Confidence: 0.84282167 7d1ab7c0-4bda-4669-a694-96f171f04f50 00:06:30.640 --> 00:06:32.330 There are many examples of NOTE Confidence: 0.84282167 a662c7b4-ad4b-4617-b898-8c898b075fbd 00:06:32.330 --> 00:06:34.020 long term datasets and science, NOTE Confidence: 0.84282167 140bb541-9c79-4d0f-80a3-8096a7aa8a47 00:06:34.020 --> 00:06:36.330 but one many of you likely use NOTE Confidence: 0.84282167 91544a6b-92a9-4f12-a8a6-4dc48fc724f2 00:06:36.330 --> 00:06:38.148 every day without even realizing NOTE Confidence: 0.84282167 5d0a689b-43dd-4add-ae3e-b1774889f0a3 00:06:38.148 --> 00:06:40.416 it is the long term forecast. NOTE Confidence: 0.84282167 aa79aefc-b339-498f-a5ac-dbd4f522aaed 00:06:40.420 --> 00:06:41.885 Everyone relies on the extended NOTE Confidence: 0.84282167 62eb8298-c554-44ce-ab5e-d678284fb9ed 00:06:41.885 --> 00:06:43.694 forecast to planned trips or even NOTE Confidence: 0.84282167 50bd288f-9f87-4cb2-beee-e318884da2a1 00:06:43.694 --> 00:06:45.159 decide what they're gonna wear. NOTE Confidence: 0.84282167 ced47872-0dd8-4b77-b957-30bb980164d0 00:06:45.160 --> 00:06:47.078 This is a past extended forecast for NOTE Confidence: 0.84282167 0401862c-66af-4d30-a602-02b596316104 00:06:47.078 --> 00:06:49.158 my home city of Boise ID and based NOTE Confidence: 0.84282167 dae5c3fa-0a8b-4ea5-80c8-3ad4aaa80a9d 00:06:49.158 --> 00:06:50.980 on what it said about that week, NOTE Confidence: 0.84282167 1591194d-4009-45b1-8e54-523dae528324 00:06:50.980 --> 00:06:52.779 I wasn't going to be working in NOTE Confidence: 0.84282167 8f7b58a3-7867-4c0d-97c4-54c07084442d 00:06:52.779 --> 00:06:54.938 my garden on Tuesday and I was NOTE Confidence: 0.84282167 532c496f-e875-441c-a602-766be581e5b1 00:06:54.938 --> 00:06:56.593 really looking forward to Friday. NOTE Confidence: 0.84282167 2973f062-feca-4196-8e66-1ceec8ef66f8 00:06:56.600 --> 00:06:58.595 So how does something like this work? NOTE Confidence: 0.84282167 5ca631bd-5ab5-4cb1-a48b-e8e2621b21ee 00:06:58.600 --> 00:06:58.986 Well, NOTE Confidence: 0.84282167 b261ce26-65eb-4f45-94ae-a49e6ffe5174 00:06:58.986 --> 00:07:00.144 meteorologists input millions NOTE Confidence: 0.84282167 c1c6dec6-a650-4e87-9b91-1f244f8ebe42 00:07:00.144 --> 00:07:02.074 of past weather data records NOTE Confidence: 0.84282167 ddc0e6ed-94bb-4fbd-bbc3-0973dbd6de49 00:07:02.074 --> 00:07:04.079 as well as current conditions, NOTE Confidence: 0.84282167 75a6672d-b692-4574-9957-b77bd3fe8315 00:07:04.080 --> 00:07:05.220 into a supercomputer. NOTE Confidence: 0.84282167 f02cf8d5-4b62-4077-8c32-335e98b2b1cc 00:07:05.220 --> 00:07:07.120 That supercomputer takes the current NOTE Confidence: 0.84282167 ed6c8891-77a1-47ad-ad97-8b50bcb5f8d5 00:07:07.120 --> 00:07:09.099 conditions and compares them to similar NOTE Confidence: 0.84282167 e00d797d-e62b-4dfe-9630-bf3f9c57e74d 00:07:09.099 --> 00:07:11.143 conditions in the past in order to NOTE Confidence: 0.84282167 3d0da6a0-defb-4bfa-b801-c29da071d0a5 00:07:11.143 --> 00:07:12.816 predict what the future is going to NOTE Confidence: 0.84282167 147d1885-7ff2-4926-8eb2-f9031acb6d76 00:07:12.816 --> 00:07:14.912 be like without those past records. NOTE Confidence: 0.84282167 bfb13ced-d609-400b-b6e8-2cfa34b3c658 00:07:14.912 --> 00:07:15.718 For comparison, NOTE Confidence: 0.84282167 f39f15a7-76ee-49a7-bcd5-33ae31ee38c6 00:07:15.720 --> 00:07:17.100 you could feed the computer as NOTE Confidence: 0.84282167 62716fce-f657-4180-8e81-d003d5e256ad 00:07:17.100 --> 00:07:18.479 much current data as you want, NOTE Confidence: 0.84282167 9b756f03-e51a-4830-9ba5-095036600279 00:07:18.480 --> 00:07:20.880 and it would have no idea what the NOTE Confidence: 0.84282167 4bf1bc13-bd32-4a4d-a1dd-fb1f20ea4baf 00:07:20.880 --> 00:07:23.465 forecast for the next week would look like. NOTE Confidence: 0.84282167 30f2f154-1178-4436-9b80-23bf22e14ca2 00:07:23.470 --> 00:07:24.034 By now, NOTE Confidence: 0.84282167 767068e4-6c9a-4c9d-a27a-ff7e910f2c19 00:07:24.034 --> 00:07:25.726 hopefully we've established that long term NOTE Confidence: 0.84282167 6f685f1f-7391-46ee-a576-be7785df602c 00:07:25.726 --> 00:07:27.967 data are important not only for scientists, NOTE Confidence: 0.84282167 6364b204-b58a-46ef-b132-6f8f10a8dc1c 00:07:27.970 --> 00:07:28.930 but for everyone. NOTE Confidence: 0.84282167 77bd1679-3e8f-453c-98a9-bb3fd8086a22 00:07:28.930 --> 00:07:30.850 Let's look at some other examples NOTE Confidence: 0.84282167 12f4a47a-f6fa-4858-8432-a4598e37b40e 00:07:30.850 --> 00:07:32.720 and demonstrate how the quality of NOTE Confidence: 0.84282167 aa1e09f0-b1cc-4058-892a-2efd5db3f4a2 00:07:32.720 --> 00:07:34.934 the data set and the time period NOTE Confidence: 0.84282167 f8437f1b-54a3-4110-85e8-779c29a0394a 00:07:34.934 --> 00:07:36.599 it covers are often related. NOTE Confidence: 0.84282167 f46ea9cd-0ec1-4dcd-b115-e3fe3a4b4f13 00:07:36.600 --> 00:07:36.865 Basically, NOTE Confidence: 0.84282167 f06eda2b-6488-4885-ae38-734bb877f728 00:07:36.865 --> 00:07:38.720 the length and the quality of a NOTE Confidence: 0.84282167 f034b0d7-bcba-465e-b03b-2fdbf92918e0 00:07:38.720 --> 00:07:40.892 long term data set comes back to the NOTE Confidence: 0.84282167 0cd1f3fd-5a81-421e-95e7-681d77f3bcad 00:07:40.892 --> 00:07:42.360 question you're trying to answer. NOTE Confidence: 0.84282167 49600922-e831-4c5a-a3b9-5cb8aa32910d 00:07:42.360 --> 00:07:43.730 Scientists have a general understanding NOTE Confidence: 0.84282167 252e050c-1b04-41e2-8f71-c10f8ca59a55 00:07:43.730 --> 00:07:45.740 of the history of the Earth itself, NOTE Confidence: 0.84282167 81147d8d-9670-4fa9-8734-6646e23354bd 00:07:45.740 --> 00:07:48.150 from its formation 4.56 billion NOTE Confidence: 0.84282167 af99d7cd-5a0b-48b1-be62-d1869e517101 00:07:48.150 --> 00:07:50.078 years ago to today. NOTE Confidence: 0.84282167 6deade9e-34a2-4828-a181-4d4e85c372e7 00:07:50.080 --> 00:07:51.512 The archaeological record allows NOTE Confidence: 0.84282167 fd53d70a-e731-4f79-b773-6c9117b35971 00:07:51.512 --> 00:07:53.302 scientists to determine the general NOTE Confidence: 0.84282167 11c1b223-ef6e-43dc-bf6c-e5c3c99261e0 00:07:53.302 --> 00:07:55.376 time period when major events occurred. NOTE Confidence: 0.84282167 c8247a39-e7b8-4559-8ad3-4cb8f7bf6080 00:07:55.380 --> 00:07:57.120 When the Earth first formed, NOTE Confidence: 0.84282167 97801cbd-a375-45d7-b370-434b8ad7eedf 00:07:57.120 --> 00:08:00.074 when life first appeared, when oxygen levels. NOTE Confidence: 0.84282167 9dc7a6ff-ee90-4d5a-9cd5-ebf14bb26b8b 00:08:00.080 --> 00:08:02.288 Began to rise in our atmosphere. NOTE Confidence: 0.84282167 cfebd5c0-5c66-4993-9cf1-f83db33412ae 00:08:02.290 --> 00:08:04.150 Fun fact billions of years ago, NOTE Confidence: 0.84282167 a07e300d-2eaa-4e45-bf06-4c955f6ecb2a 00:08:04.150 --> 00:08:07.030 our atmosphere had basically no oxygen in it. NOTE Confidence: 0.84282167 77c9829c-6f21-4c6d-9ba7-a9a4f2f6f2fa 00:08:07.030 --> 00:08:09.568 When not a lot happened for a billion years. NOTE Confidence: 0.84282167 a5d86806-3022-4ba6-8cbe-b1de3436be32 00:08:09.570 --> 00:08:11.770 And when animals first appeared, NOTE Confidence: 0.84282167 49636118-38c3-4c20-b2df-c369c75dfd8d 00:08:11.770 --> 00:08:12.060 however, NOTE Confidence: 0.84282167 a513a241-bffd-4b45-aff2-a75807df482c 00:08:12.060 --> 00:08:13.510 these events are not measured NOTE Confidence: 0.84282167 1d7a411d-0c8b-4720-a18e-e87067e7e7d7 00:08:13.510 --> 00:08:15.050 in days or even years. NOTE Confidence: 0.84282167 57cbda6c-e528-4a73-b144-3caf1d80079b 00:08:15.050 --> 00:08:16.895 If I were to ask you what the weather NOTE Confidence: 0.84282167 6c9801a3-ce77-453f-85e5-6a75996327b5 00:08:16.895 --> 00:08:18.871 was like where you live the day the NOTE Confidence: 0.84282167 f3d6c9b1-2522-47f2-af6f-9d6608e1cd3b 00:08:18.871 --> 00:08:20.502 asteroid that led to the extinction NOTE Confidence: 0.84282167 686efcb5-5684-4c74-80f5-7c310000c687 00:08:20.502 --> 00:08:22.182 of nearly all dinosaur species hit NOTE Confidence: 0.84282167 c60b7de7-36a8-4e2c-a748-522f809767bf 00:08:22.182 --> 00:08:24.790 the earth 66 million years ago, NOTE Confidence: 0.84282167 f119fa87-9397-4a44-822f-cac18f3dd4e6 00:08:24.790 --> 00:08:26.550 no one has any idea. NOTE Confidence: 0.84282167 543611cb-c940-4fc9-8bc2-ad0c1e5e66a2 00:08:26.550 --> 00:08:27.198 At best, NOTE Confidence: 0.84282167 8feb2ede-cbc0-4612-868b-0ff8c8cc292f 00:08:27.198 --> 00:08:29.790 we have a basic idea of the climate NOTE Confidence: 0.84282167 c3c9283a-09ec-4b08-a78a-6568eba07225 00:08:29.864 --> 00:08:31.999 for that general time period. NOTE Confidence: 0.84282167 4a2ba713-3577-42ae-9787-b9e7f0ccf2ed 00:08:32.000 --> 00:08:33.834 Have a better idea of what has NOTE Confidence: 0.84282167 0668ec08-dfae-4824-8414-d2e157e603dd 00:08:33.834 --> 00:08:35.362 happened since the written history NOTE Confidence: 0.84282167 3f81e0d1-a4e9-44b7-ac36-635badbe7e37 00:08:35.362 --> 00:08:36.730 of humans began approximately NOTE Confidence: 0.84282167 a3fdc8fd-7656-4566-b18c-f78cc1d2978b 00:08:36.730 --> 00:08:38.900 5000 years ago and can get many NOTE Confidence: 0.84282167 bcbdbace-ca1a-47f5-b590-698f03feaa02 00:08:38.900 --> 00:08:40.135 events down to the year, NOTE Confidence: 0.850349741666667 fffd9f58-64c3-4cf6-99ab-add0f64749f3 00:08:40.140 --> 00:08:42.471 month and even day, especially as the NOTE Confidence: 0.850349741666667 07850b3f-9561-4826-b6fb-709228b51886 00:08:42.471 --> 00:08:44.199 time period approaches the present. NOTE Confidence: 0.850349741666667 4b1155df-54cb-41e2-af2f-bbb610220e5a 00:08:44.200 --> 00:08:46.603 However, if I were to ask you that same NOTE Confidence: 0.850349741666667 fc50994f-4e9b-4a14-a2ac-779fc4756430 00:08:46.603 --> 00:08:48.635 weather question the year the Magna NOTE Confidence: 0.850349741666667 144b4320-bb70-409b-9e8a-856c95a69634 00:08:48.635 --> 00:08:50.740 Carta libertarian was written in 12:15, NOTE Confidence: 0.850349741666667 d5f0d9e2-d394-4c26-8dd0-5ebac09ef8c8 00:08:50.740 --> 00:08:52.940 you would still not be able to get NOTE Confidence: 0.850349741666667 a6fd2e20-2553-4a66-92fd-5be9c5041fc0 00:08:52.940 --> 00:08:54.842 any closer to the exact weather in NOTE Confidence: 0.850349741666667 f4b06237-9cd0-4142-a6e5-a148a3bdd411 00:08:54.842 --> 00:08:57.390 your area on a day in that year than NOTE Confidence: 0.850349741666667 eb5de6ca-e2bf-463c-a2bc-9421daad73a4 00:08:57.390 --> 00:08:59.190 you could 66 million years ago. NOTE Confidence: 0.850349741666667 56fd6585-d812-47e6-8219-5724def5c386 00:08:59.190 --> 00:09:00.750 However, if I were to ask you what NOTE Confidence: 0.850349741666667 3a8c4b99-badd-4e9c-995b-2ddc2b331185 00:09:00.750 --> 00:09:02.132 the weather was like in the place NOTE Confidence: 0.850349741666667 0cc8de39-67a7-4962-ad03-427b1f3dbbe5 00:09:02.132 --> 00:09:03.082 and time of your birth, NOTE Confidence: 0.850349741666667 f4aa6e26-9b5e-4d9f-94a6-80ba7eb0cdcc 00:09:03.090 --> 00:09:04.917 now that that you might be able NOTE Confidence: 0.850349741666667 9083e0e5-9670-4c2b-9cbd-73be755c37b6 00:09:04.917 --> 00:09:06.110 to get pretty close. NOTE Confidence: 0.850349741666667 09d539c9-6afa-4d70-884a-c7baf4a959eb 00:09:06.110 --> 00:09:07.736 That's because over the last century NOTE Confidence: 0.850349741666667 b1b75e43-1174-40ca-b6a1-14ba2a354532 00:09:07.736 --> 00:09:09.835 we have placed more and more weather NOTE Confidence: 0.850349741666667 c8feb0e6-65a9-4af2-b4ed-9c3c1a7b8d29 00:09:09.835 --> 00:09:11.755 stations across the world that record NOTE Confidence: 0.850349741666667 bbaf33a2-65ca-4d12-b486-372feea9efbf 00:09:11.755 --> 00:09:13.290 temperature and precipitation daily. NOTE Confidence: 0.850349741666667 b358f456-5160-4fee-ab93-4b4e7405012a 00:09:13.290 --> 00:09:14.610 Therefore, long term data should NOTE Confidence: 0.850349741666667 4b816b47-bfeb-42cd-8b6f-cfe9728287ac 00:09:14.610 --> 00:09:16.222 be considered a function of the NOTE Confidence: 0.850349741666667 5592bbb1-7e4c-487a-8f1b-1c7e78ddf793 00:09:16.222 --> 00:09:17.656 question you are trying to answer, NOTE Confidence: 0.850349741666667 6a3d2f52-565f-49d7-91ec-b8ffc9ca71cc 00:09:17.660 --> 00:09:20.383 consisting of the time period of interest NOTE Confidence: 0.850349741666667 5c0d3c34-afa7-4be7-97ec-07217b336d8d 00:09:20.383 --> 00:09:23.527 and the quality of data in that time period. NOTE Confidence: 0.850349741666667 596075ea-5ddf-4946-a5c2-e7f1e02abe15 00:09:23.530 --> 00:09:25.098 You might ask why we need long term NOTE Confidence: 0.850349741666667 bb5d32e0-6b93-4bb3-aa60-eb467af17da7 00:09:25.098 --> 00:09:26.614 data to view patterns and trends NOTE Confidence: 0.850349741666667 2efcf48e-2b59-4004-baf7-b79fe261ce78 00:09:26.614 --> 00:09:28.228 and patterns and trends in nature. NOTE Confidence: 0.850349741666667 fdd8bd55-32c6-46ed-b46d-ad4bf56e8594 00:09:28.230 --> 00:09:30.050 If viewed in the short term can NOTE Confidence: 0.850349741666667 54ceeadf-225b-4929-b83c-60344d3e0b4e 00:09:30.050 --> 00:09:30.570 look convincing, NOTE Confidence: 0.850349741666667 6dac39bb-9fe2-4c52-8249-bcdfbb174d70 00:09:30.570 --> 00:09:32.460 but can often be deceiving. NOTE Confidence: 0.850349741666667 be5614af-1d4a-4eb7-8659-07c563ca98b2 00:09:32.460 --> 00:09:33.864 In 2017 David Pelliot, NOTE Confidence: 0.850349741666667 06c00fe6-5c6e-40dc-9da9-cfaedc6c8a19 00:09:33.864 --> 00:09:35.970 Robert Arkell and I published a NOTE Confidence: 0.850349741666667 0682ff8f-fb27-403e-92d2-9c5a1d3d8451 00:09:36.044 --> 00:09:38.484 paper looking at how precipitation NOTE Confidence: 0.850349741666667 c4be939f-4a7a-4c91-823a-771a19d3b087 00:09:38.484 --> 00:09:40.436 and vegetation conditions drove NOTE Confidence: 0.850349741666667 b1d0cfc9-5ca6-44e9-9e90-a19df906bdbd 00:09:40.436 --> 00:09:42.686 wildfire trends in the Great Basin. NOTE Confidence: 0.850349741666667 31ca0d69-e4bd-42fd-a341-57175adc047f 00:09:42.690 --> 00:09:44.938 The Great Basin is a cold desert located NOTE Confidence: 0.850349741666667 592ff8dd-fdd4-48a4-b970-eecdea0b6ec5 00:09:44.938 --> 00:09:47.051 in Nevada and parts of the surrounding NOTE Confidence: 0.850349741666667 e964ecd9-887e-4b7a-93a3-f0a83fda26b8 00:09:47.051 --> 00:09:49.390 states shown in the dark black outline. NOTE Confidence: 0.850349741666667 cf33d6e6-ca8e-430e-b080-fdf3167bb90e 00:09:49.390 --> 00:09:51.050 It is primarily composed of NOTE Confidence: 0.850349741666667 80e226b8-23b3-40a6-aa93-95cf918b243e 00:09:51.050 --> 00:09:52.046 shrublands and grasslands, NOTE Confidence: 0.850349741666667 ba8258ae-fbac-4114-8041-09b757e69354 00:09:52.050 --> 00:09:54.474 with forest present only in the NOTE Confidence: 0.850349741666667 354da6f5-48db-4b10-8de6-ed3847308acf 00:09:54.474 --> 00:09:55.686 higher mountain elevations. NOTE Confidence: 0.850349741666667 a5cef8f1-3bd1-4722-9a9a-4ec4ecfa57d6 00:09:55.690 --> 00:09:57.808 We utilized a 25 year continuous NOTE Confidence: 0.850349741666667 514e7ca7-c17f-4985-bc41-b2aaa91efd0d 00:09:57.808 --> 00:09:59.220 long term vegetation monitoring NOTE Confidence: 0.850349741666667 a8f076eb-2cbe-461c-a19a-bf5478e2e362 00:09:59.276 --> 00:10:01.298 data set captured within the Morley NOTE Confidence: 0.850349741666667 ceb7c68c-ddfb-465b-8637-317b99bbddf5 00:10:01.298 --> 00:10:02.309 Nelson Snake River, NOTE Confidence: 0.850349741666667 56cfbf90-b813-4ec6-aec2-4e371054082d 00:10:02.310 --> 00:10:04.125 birds of Prey National Conservation NOTE Confidence: 0.850349741666667 26d358d5-873f-42eb-959d-7519aeefce95 00:10:04.125 --> 00:10:06.833 Area seen here in the red Polygon NOTE Confidence: 0.850349741666667 7ca5f63a-52f5-4713-bc5d-6ea5b0f629b4 00:10:06.833 --> 00:10:09.317 to look at how annual precipitation NOTE Confidence: 0.850349741666667 f67070e3-0f86-4d46-a438-84fc42ebf3a1 00:10:09.317 --> 00:10:10.720 drives vegetation changes. NOTE Confidence: 0.850349741666667 aa6363e0-58c4-4630-b541-917e989c0fac 00:10:10.720 --> 00:10:11.569 In other words, NOTE Confidence: 0.850349741666667 460b3621-b426-42a0-a04d-0fc791e2c649 00:10:11.569 --> 00:10:13.267 we were looking at whether more NOTE Confidence: 0.850349741666667 d3c30f36-d285-4055-bc66-268248cc816e 00:10:13.267 --> 00:10:14.971 rain would lead to more grasses NOTE Confidence: 0.850349741666667 1538c3cb-af45-4e0b-8f2c-07ee32476db5 00:10:14.971 --> 00:10:16.816 and flowers and once we establish NOTE Confidence: 0.850349741666667 4c2a7d0b-cfc3-4410-a370-092cc8062486 00:10:16.816 --> 00:10:18.936 we could predict vegetation cover NOTE Confidence: 0.850349741666667 2ffb2434-6a85-4c18-b133-f2a9fb851d43 00:10:18.936 --> 00:10:20.208 using precipitation alone. NOTE Confidence: 0.850349741666667 17a5bfb6-eb3b-4f72-8673-4b2d802d28bc 00:10:20.210 --> 00:10:22.075 We looked at how precipitation NOTE Confidence: 0.850349741666667 414ae655-8b04-4aa2-92d9-804ae18beb78 00:10:22.075 --> 00:10:23.567 amounts could predict wildfires NOTE Confidence: 0.850349741666667 898c0ea1-4785-4ceb-b444-e89c1801ebcf 00:10:23.567 --> 00:10:25.327 in this region since 1980. NOTE Confidence: 0.850349741666667 2205cde1-9e2c-4aa0-8c4d-f231c48ae492 00:10:25.330 --> 00:10:27.434 So why do we need 35 years worth NOTE Confidence: 0.850349741666667 f5e606ed-c2c7-4657-94b3-8a0ba95949d4 00:10:27.434 --> 00:10:27.960 of precipitation? NOTE Confidence: 0.850349741666667 0632393c-d949-4d1f-8e6d-6a24898404a9 00:10:27.960 --> 00:10:29.780 The fire data to identify the pattern. NOTE Confidence: 0.807304002857143 f6e348be-d5ce-4860-8cab-e324fcec30e1 00:10:32.740 --> 00:10:34.637 Here's another figure from that same paper, NOTE Confidence: 0.807304002857143 891c4e42-b645-4608-b712-5da24ef99d7b 00:10:34.640 --> 00:10:36.230 except they've grayed out all the NOTE Confidence: 0.807304002857143 ff1185fb-c6e0-4054-bd74-2ae236c9e696 00:10:36.230 --> 00:10:38.243 data in the middle on the X axis NOTE Confidence: 0.807304002857143 f72f6e50-eb57-468b-9ce0-da23e0f8aefc 00:10:38.243 --> 00:10:39.880 that the bottom of this figure we NOTE Confidence: 0.807304002857143 ffff3055-544e-4517-bfa1-078a64265ad8 00:10:39.880 --> 00:10:41.885 have water year from 1980 to 2014, NOTE Confidence: 0.807304002857143 ea67d3cd-664a-4082-9aa5-d1f3de1a0c5d 00:10:41.885 --> 00:10:45.370 or 35 years worth of data and water year. NOTE Confidence: 0.807304002857143 3518e7f5-9409-430a-b318-507af910682f 00:10:45.370 --> 00:10:46.822 Unlike the calendar year, NOTE Confidence: 0.807304002857143 3736a2f6-590f-4ad7-8f3e-0ea6a1d389e4 00:10:46.822 --> 00:10:49.000 actually runs from October to September. NOTE Confidence: 0.807304002857143 35222023-2e67-4126-b598-0a2ba82218da 00:10:49.000 --> 00:10:51.121 The primary axis on the left side NOTE Confidence: 0.807304002857143 32075eb0-02dc-4264-b1ea-82523d958ae8 00:10:51.121 --> 00:10:52.891 shows the total precipitation shown NOTE Confidence: 0.807304002857143 7d962310-ccc0-45fc-9dee-36bbc5816f35 00:10:52.891 --> 00:10:55.663 as various colors of blue bars for NOTE Confidence: 0.807304002857143 ee6ceb16-b21b-4410-ad5e-9d0559857c17 00:10:55.663 --> 00:10:57.797 different seasons of that water year. NOTE Confidence: 0.807304002857143 e3bdb730-db27-40e4-88e3-faa5096adddd 00:10:57.800 --> 00:10:59.960 So we've got October to March and Dark Blue, NOTE Confidence: 0.807304002857143 01339263-66b8-4c35-877c-c78383524f68 00:10:59.960 --> 00:11:02.000 April to June and light Blue and July NOTE Confidence: 0.807304002857143 eb1c1a82-83c6-42c6-9905-f4972e72e775 00:11:02.000 --> 00:11:03.529 to September in very light blue. NOTE Confidence: 0.807304002857143 77231ece-d971-4945-ab96-47b3ffbe5bbc 00:11:03.530 --> 00:11:05.690 And it's all measured in millimeters. NOTE Confidence: 0.807304002857143 4bc161e9-3301-4e1a-98cc-3b2589ee9330 00:11:05.690 --> 00:11:07.838 The secondary axis on the right NOTE Confidence: 0.807304002857143 e59999e5-aa6f-40cf-8dcb-c28adf083e1d 00:11:07.838 --> 00:11:10.073 side shows the number of hectares NOTE Confidence: 0.807304002857143 ce9a41d9-65d7-4fc0-9ffd-c4fd01a8a606 00:11:10.073 --> 00:11:12.642 burned in the Great Basin Times 1000. NOTE Confidence: 0.807304002857143 df5c9738-627a-42e2-ac0b-20df3af95c8d 00:11:12.650 --> 00:11:14.778 And it's shown by that red line NOTE Confidence: 0.807304002857143 dace2519-d5c7-4a5c-8e1f-b91c69ecaaa0 00:11:14.778 --> 00:11:18.490 you see at the bottom of 1980. NOTE Confidence: 0.807304002857143 8cf6eb37-89e7-4d8b-9d37-c385c6b88ef7 00:11:18.490 --> 00:11:20.247 To provide some additional context for you, NOTE Confidence: 0.807304002857143 76d9b217-a6b1-422f-996e-680c7bf9c221 00:11:20.250 --> 00:11:22.616 I'm adding a blue line on the NOTE Confidence: 0.807304002857143 4f498ebd-78fc-41f6-b912-d811008698ce 00:11:22.616 --> 00:11:24.538 primary axis here at 269 millimeters. NOTE Confidence: 0.807304002857143 6c3976ef-32f5-4142-99d7-c84fb2642b09 00:11:24.538 --> 00:11:26.602 That was the average precipitation in NOTE Confidence: 0.807304002857143 cad076e1-1d18-4eb6-b4c9-e448c6d2f02b 00:11:26.602 --> 00:11:28.797 the Great Basin for this time period, NOTE Confidence: 0.807304002857143 3ef2c336-a678-436b-9ec2-6ea8f5537eb4 00:11:28.800 --> 00:11:31.285 and you can see in 1980 our NOTE Confidence: 0.807304002857143 cb765182-a7d0-43e6-a645-dd73f022d06e 00:11:31.285 --> 00:11:33.439 precipitation is well above average. NOTE Confidence: 0.807304002857143 78b4eda7-5fed-49b9-936b-351b8a71199c 00:11:33.440 --> 00:11:33.724 Well, NOTE Confidence: 0.807304002857143 b8e2e6de-9179-4acb-a8e5-cc167b81e2fa 00:11:33.724 --> 00:11:35.996 I had a red line on the secondary NOTE Confidence: 0.807304002857143 6811b071-03cb-46bd-bf84-7f823922a398 00:11:35.996 --> 00:11:37.800 axis at 370 hectares, NOTE Confidence: 0.807304002857143 5843f3d3-8a90-4286-8998-a90eca416a90 00:11:37.800 --> 00:11:40.140 meaning about 370,000 hectares burned NOTE Confidence: 0.807304002857143 c3670042-a6da-482f-9f43-2c6e89f5cf1b 00:11:40.140 --> 00:11:42.520 in wildfires in the Great Basin on NOTE Confidence: 0.807304002857143 8cd56f6b-c05c-4148-81aa-e354b17de956 00:11:42.587 --> 00:11:44.820 average every year in our time period. NOTE Confidence: 0.807304002857143 09e11310-26bb-46ea-a0d2-fd5fc5a458cf 00:11:44.820 --> 00:11:45.910 To put that in perspective, NOTE Confidence: 0.807304002857143 25f3ce34-5b06-419e-a607-47394e6ba9b4 00:11:45.910 --> 00:11:48.118 that means an area larger than the state NOTE Confidence: 0.807304002857143 1d52f973-a567-4ada-b25d-3eb6c2155d12 00:11:48.118 --> 00:11:50.189 of Delaware has burned every single year NOTE Confidence: 0.807304002857143 ff96049e-ec6f-4a3f-8e2d-6c3a9f946cfd 00:11:50.189 --> 00:11:52.646 in the great basement from 1980 to 2014, NOTE Confidence: 0.807304002857143 082c7166-e8f0-4773-bfde-71b9857e3ae4 00:11:52.646 --> 00:11:55.730 and our area burned in 1980. NOTE Confidence: 0.807304002857143 a4fab4ad-c712-4b28-afac-802a26c31324 00:11:55.730 --> 00:11:57.480 You can see with that Red line NOTE Confidence: 0.807304002857143 1c7e2e72-d45e-48b5-9e9b-cc8f673e7735 00:11:57.480 --> 00:11:58.839 is well below average. NOTE Confidence: 0.807304002857143 e350449b-8887-48da-ad02-ae4a02936c97 00:11:58.840 --> 00:12:00.991 So let's open up some short term 5 year NOTE Confidence: 0.807304002857143 5fcf8f79-c437-440a-9748-eaf35d978190 00:12:00.991 --> 00:12:03.118 Windows and see what the data is telling us. NOTE Confidence: 0.807304002857143 6d71cd8f-8559-4d7f-a53f-22c7f42243e4 00:12:03.120 --> 00:12:06.250 Starting with 1980 to 1984. NOTE Confidence: 0.807304002857143 51f97906-02c1-4937-9fc3-f386a91ce09a 00:12:06.250 --> 00:12:07.578 So in this period, NOTE Confidence: 0.807304002857143 e2d66ea2-bb33-427f-9e48-d77dbf994362 00:12:07.578 --> 00:12:10.098 four of the first five years are NOTE Confidence: 0.807304002857143 ac4ef5df-9239-4bea-b383-3bd7f634c613 00:12:10.098 --> 00:12:11.906 above average precipitation and NOTE Confidence: 0.807304002857143 3540dd8b-4af1-44b2-8f6f-a426608c8566 00:12:11.906 --> 00:12:14.670 well below average number of fires. NOTE Confidence: 0.807304002857143 c35c611a-5e41-4c5e-8d85-2eabca58e1d5 00:12:14.670 --> 00:12:16.974 And that makes sense if it rains a lot NOTE Confidence: 0.807304002857143 17b4dc42-0b02-40d7-ad42-a6c161048aeb 00:12:16.974 --> 00:12:19.706 of fire is going to have trouble getting NOTE Confidence: 0.807304002857143 86f51e0f-4d1e-40de-ab62-6abe50c65510 00:12:19.706 --> 00:12:22.429 going because all the fuel is wet and green. NOTE Confidence: 0.807304002857143 c49b7238-0db5-4362-b159-af0dce274666 00:12:22.430 --> 00:12:23.900 Well, let's open up a second window. NOTE Confidence: 0.807304002857143 ab41de3e-c4c9-4a5c-8a76-31d49014c075 00:12:23.900 --> 00:12:26.396 From 1987 to 1991, while leaving NOTE Confidence: 0.807304002857143 ec71ec33-bf7a-4e12-83a1-ac83bed4aa62 00:12:26.396 --> 00:12:29.010 the first window for comparison. NOTE Confidence: 0.807304002857143 fb811e8f-8f94-4dfa-90a3-416598cbb132 00:12:29.010 --> 00:12:30.610 In this time period, NOTE Confidence: 0.807304002857143 a9950e2f-0298-4ddd-8e16-23b13d3867c3 00:12:30.610 --> 00:12:33.010 the Great Basin gets consistently around NOTE Confidence: 0.807304002857143 82fb4507-f298-46c6-a2c2-d65d56ecbbd0 00:12:33.010 --> 00:12:35.410 250 millimeters of precipitation a year, NOTE Confidence: 0.807304002857143 14c05b69-7d09-46a9-89c9-11d8742f4655 00:12:35.410 --> 00:12:37.390 right at or just below average, NOTE Confidence: 0.807304002857143 c0af0055-e2c9-4c03-ab63-1c63d1568736 00:12:37.390 --> 00:12:38.962 with almost no variation. NOTE Confidence: 0.807304002857143 546ea74f-f19e-4eae-8966-c4b1d20e2817 00:12:38.962 --> 00:12:41.320 And the hectares burned is still NOTE Confidence: 0.807304002857143 4ae424d3-2799-446e-a0b9-79e4a3dbddfb 00:12:41.391 --> 00:12:42.678 well below average. NOTE Confidence: 0.807304002857143 abe5793e-f86f-4d91-bac8-aab814cf03c4 00:12:42.680 --> 00:12:44.570 This five year window is very different NOTE Confidence: 0.807304002857143 36d0704e-7bfd-4a35-bb7c-6c7a6d4b81d7 00:12:44.570 --> 00:12:46.279 from our first five year window. NOTE Confidence: 0.807304002857143 448e33c2-d3e9-4991-b351-2b96a85e5535 00:12:46.280 --> 00:12:46.585 However, NOTE Confidence: 0.807304002857143 7f90a36b-c89a-4e48-aceb-517d3a14fbda 00:12:46.585 --> 00:12:48.110 this pattern also makes sense NOTE Confidence: 0.807304002857143 2aa03fea-dc8b-4c00-817f-fb12265e60f4 00:12:48.110 --> 00:12:50.019 if it's dry in the desert. NOTE Confidence: 0.807304002857143 bdcc6341-e192-45a4-8f3a-f27f0e004c03 00:12:50.020 --> 00:12:51.910 Not that many plants can grow in NOTE Confidence: 0.807304002857143 41c37bb0-80bb-4487-a800-282797c7b67d 00:12:51.910 --> 00:12:53.899 the ones that do aren't very big. NOTE Confidence: 0.807304002857143 a540c3fd-5679-4520-8ce8-edb2558272e0 00:12:53.900 --> 00:12:55.898 It's hard for a fire to get going if NOTE Confidence: 0.807304002857143 2cd14a2b-e4bf-4aae-b438-7ac24bbff299 00:12:55.898 --> 00:12:57.654 there isn't a lot of fuel to burn. NOTE Confidence: 0.807304002857143 db4328ce-1b38-422c-b0c4-884ceba03ad5 00:12:57.660 --> 00:12:58.620 So wait a minute. NOTE Confidence: 0.807304002857143 c1c49d68-aff5-4a79-96f2-36a4bfe3b26f 00:12:58.620 --> 00:13:00.060 Now I'm saying if it's wet, NOTE Confidence: 0.807304002857143 0ae0a773-c8c7-4a10-8699-67dcc5a71368 00:13:00.060 --> 00:13:01.544 it doesn't burn and if it's dry, NOTE Confidence: 0.807304002857143 f74fdf33-8e0b-4f38-8304-32ef5452c253 00:13:01.550 --> 00:13:02.564 it doesn't burn. NOTE Confidence: 0.807304002857143 eb711964-0918-413e-af5b-da948f420b53 00:13:02.564 --> 00:13:04.930 To get to that average fire line NOTE Confidence: 0.807304002857143 6899ae9f-a7c6-40f5-a195-66d0a51db7ba 00:13:05.002 --> 00:13:05.854 of 370,000 hectares, NOTE Confidence: 0.807304002857143 e8db2d37-5f3b-469a-afb5-c1703d3a5688 00:13:05.854 --> 00:13:07.639 there must be more hectares NOTE Confidence: 0.807304002857143 b8534054-796f-4492-b75c-b3b4c2bdc4f2 00:13:07.639 --> 00:13:09.538 burned than average in some years. NOTE Confidence: 0.807304002857143 429320ad-e04c-4da0-b901-17433b7b8a83 00:13:09.540 --> 00:13:11.878 So let's open up a third window, NOTE Confidence: 0.807304002857143 53ff465b-3bc4-4c35-bf71-54fd5d33bff5 00:13:11.880 --> 00:13:14.372 this time from 1997 to 2001. NOTE Confidence: 0.807304002857143 292df453-db06-4e21-b99d-d2cbf084c224 00:13:14.372 --> 00:13:15.460 And we see precipitation NOTE Confidence: 0.807304002857143 aa7909d4-6f97-409a-8cfa-563dee63101c 00:13:15.460 --> 00:13:16.820 start above average in the NOTE Confidence: 0.770629592307692 4edf4770-9e08-4891-ac0e-1c868a7a4432 00:13:16.875 --> 00:13:17.640 first two years, NOTE Confidence: 0.770629592307692 1d614fcc-510d-446a-a98d-3136bc70aa7d 00:13:17.640 --> 00:13:19.656 but dropped below average in the NOTE Confidence: 0.770629592307692 fccd153d-ba3c-4047-bb28-4630fd8506b4 00:13:19.656 --> 00:13:21.787 last two and hectares burn spikes NOTE Confidence: 0.770629592307692 ba61e8cd-95f0-417e-a3db-75db340eb025 00:13:21.787 --> 00:13:23.935 above average right in the middle. NOTE Confidence: 0.770629592307692 36039541-fb67-403a-9a8b-1834f59d3a38 00:13:23.940 --> 00:13:25.368 Again, this is a very different NOTE Confidence: 0.770629592307692 2e9dc682-1394-488a-b468-dd21fee9565c 00:13:25.368 --> 00:13:26.900 pattern than our first two Windows. NOTE Confidence: 0.770629592307692 376a9026-e0a3-4e4a-9f34-c0a13893b952 00:13:26.900 --> 00:13:28.958 However, this might be the answer. NOTE Confidence: 0.770629592307692 8249785c-3116-4282-8d73-f3e09b8f5f1b 00:13:28.960 --> 00:13:31.128 Do we need precipitation to go from high NOTE Confidence: 0.770629592307692 70018f8c-64c8-47fd-9ab8-0785b8726715 00:13:31.128 --> 00:13:33.363 to low to have a high fire year maybe. NOTE Confidence: 0.770629592307692 5c7c09e2-4ff2-4201-9ef7-483654ebd25e 00:13:33.363 --> 00:13:35.064 But if we just looked at one NOTE Confidence: 0.770629592307692 8c841114-2395-466b-bb1d-4417cdc09a33 00:13:35.064 --> 00:13:36.649 of the other two windows, NOTE Confidence: 0.770629592307692 121f9748-b3dd-4ae3-9c97-2af8acddb583 00:13:36.650 --> 00:13:38.370 we would have never come to that conclusion. NOTE Confidence: 0.770629592307692 1c40cce8-07d9-48b4-a2fb-638c44fa105e 00:13:38.370 --> 00:13:40.603 And even here we don't have enough NOTE Confidence: 0.770629592307692 61c1a6d2-d4d1-40f5-8245-91c481195cbc 00:13:40.603 --> 00:13:42.371 information to draw any conclusions NOTE Confidence: 0.770629592307692 638263e5-a5c9-4f42-aa0e-e5b6f3eab0b8 00:13:42.371 --> 00:13:44.512 about long term trends by stepping NOTE Confidence: 0.770629592307692 7d12766b-96e2-4015-8552-6fa4400bc215 00:13:44.512 --> 00:13:46.117 back and viewing the precipitation NOTE Confidence: 0.770629592307692 8c329806-2351-497c-8405-8f9302136a53 00:13:46.117 --> 00:13:48.170 patterns over a long period of time. NOTE Confidence: 0.770629592307692 bab49f3d-7507-45ce-9161-8b45a6523b5e 00:13:48.170 --> 00:13:50.150 In this case, 35 years, NOTE Confidence: 0.770629592307692 1e02a720-398e-4cff-a95f-e0c16e441fe2 00:13:50.150 --> 00:13:51.842 we can finally see the pattern NOTE Confidence: 0.770629592307692 fe2306f0-c0a5-4a2e-9b4d-51e1715a220d 00:13:51.842 --> 00:13:52.970 in the Great Basin. NOTE Confidence: 0.770629592307692 58b278f4-f049-4c3e-84d2-9dfc088e2b2e 00:13:52.970 --> 00:13:55.610 The Great Basin is very cyclical. NOTE Confidence: 0.770629592307692 8b50f8c6-2147-43da-9b86-24606e8c5dd4 00:13:55.610 --> 00:13:56.108 In general, NOTE Confidence: 0.770629592307692 44f3a7ec-86d5-4a19-8c52-aad88e605a35 00:13:56.108 --> 00:13:57.851 we cycle through one to three years NOTE Confidence: 0.770629592307692 49e2de21-03da-458c-8db6-1b771bfa78c9 00:13:57.851 --> 00:13:59.014 of above average precipitation NOTE Confidence: 0.770629592307692 ab36313b-292a-46b1-b7a8-7fc1d169b855 00:13:59.014 --> 00:14:01.476 followed by up to six years of average NOTE Confidence: 0.770629592307692 3510864c-90b4-4964-9498-e4dc1f8c1550 00:14:01.476 --> 00:14:03.028 or below average precipitation. NOTE Confidence: 0.770629592307692 bde46da9-7fd5-4b19-aa9b-63d9186eaa6f 00:14:03.030 --> 00:14:04.622 This is a desert. NOTE Confidence: 0.770629592307692 737f4b47-770b-41af-8e50-8d82cdff1f39 00:14:04.622 --> 00:14:05.418 After all. NOTE Confidence: 0.770629592307692 c214b14d-316d-4360-a64b-cf19f8a522fa 00:14:05.420 --> 00:14:07.316 Let's look at the five spikes, NOTE Confidence: 0.770629592307692 d09d0c6d-e04b-42bb-a19e-71a640eee1e0 00:14:07.320 --> 00:14:09.497 where the area burned is above average, NOTE Confidence: 0.770629592307692 72863c49-756e-4fa1-b99f-6ef3887c8d01 00:14:09.500 --> 00:14:12.160 signifying very severe fire years. NOTE Confidence: 0.770629592307692 e0143c6c-bbb6-4c1b-8fdf-c0e68cbb97ce 00:14:12.160 --> 00:14:13.994 What do they all have in common? NOTE Confidence: 0.770629592307692 bc4df8e8-e469-4d8b-914c-0c17e1ec08dc 00:14:14.000 --> 00:14:16.312 All the spikes are preceded by one or NOTE Confidence: 0.770629592307692 df5d295b-f446-4623-820b-d50dbfb5f289 00:14:16.312 --> 00:14:18.820 more years of above average precipitation, NOTE Confidence: 0.770629592307692 dcc5f693-5e85-4360-9ddc-9ad394c30b49 00:14:18.820 --> 00:14:22.356 but why would getting lots of rain drive NOTE Confidence: 0.770629592307692 7cff4b80-8717-47b7-99fb-6a811f855d9d 00:14:22.356 --> 00:14:24.858 Fire it turns out rain makes plants grow? NOTE Confidence: 0.770629592307692 089c17a1-4821-452f-b86b-80b0128fa291 00:14:24.860 --> 00:14:25.622 Who knew, right. NOTE Confidence: 0.770629592307692 1408d2ba-90fd-4131-8306-d6293fc30869 00:14:25.622 --> 00:14:28.119 But in the desert that is the Great Basin. NOTE Confidence: 0.770629592307692 bdb0bb50-bc93-4ff7-8c46-7f5b2cd9756e 00:14:28.120 --> 00:14:29.860 Extra rain really makes grasses NOTE Confidence: 0.770629592307692 6085eb30-76b6-4ff7-b9d1-2d3ab0d751b9 00:14:29.860 --> 00:14:31.600 and flowers grow much larger NOTE Confidence: 0.770629592307692 ac0a87cd-d1f1-4c47-9f43-5f3393a84d98 00:14:31.659 --> 00:14:33.399 and in much higher quantities, NOTE Confidence: 0.770629592307692 7ed762c0-4e71-4e5b-8a62-c12cd217de07 00:14:33.400 --> 00:14:35.829 desert plants are adapted to dry conditions. NOTE Confidence: 0.770629592307692 084ab8c5-e0c2-4835-a706-52a483c0afa8 00:14:35.830 --> 00:14:38.889 Absolutely thrive when the rain does come. NOTE Confidence: 0.770629592307692 276b50b5-0de3-445e-8918-680ef5b591a4 00:14:38.890 --> 00:14:40.130 Those grasses and flowers die NOTE Confidence: 0.770629592307692 5c82accf-56a7-4012-9767-34095c27ed47 00:14:40.130 --> 00:14:41.969 back in the winter to form dead NOTE Confidence: 0.770629592307692 a59a85ed-8f7b-469d-b9aa-eacdbe43e865 00:14:41.969 --> 00:14:43.324 plant material on the ground, NOTE Confidence: 0.770629592307692 385ccafb-9a6c-4b45-b677-ba66158f4436 00:14:43.330 --> 00:14:45.437 or what we call litter and new NOTE Confidence: 0.770629592307692 0d05311d-283b-4721-95c9-cfff1af35832 00:14:45.437 --> 00:14:47.249 shoots sprout again in the spring. NOTE Confidence: 0.770629592307692 80fd9554-1755-4789-b917-940e6caf3e00 00:14:47.250 --> 00:14:48.828 It turns out this litter can NOTE Confidence: 0.770629592307692 f227d3f6-e5e1-4bdd-ad83-1a5787127566 00:14:48.828 --> 00:14:50.923 persist for up to three years due NOTE Confidence: 0.770629592307692 5463d2d6-0a28-479f-aa8d-a9ca360eb022 00:14:50.923 --> 00:14:52.563 to the dry desert environment. NOTE Confidence: 0.770629592307692 cf5dcef4-670c-4807-a2c1-6803fd1fed38 00:14:52.570 --> 00:14:53.272 So basically, NOTE Confidence: 0.770629592307692 2b55672d-c073-4c18-9048-8bd729a2de02 00:14:53.272 --> 00:14:55.729 wet years create a bunch of dry NOTE Confidence: 0.770629592307692 e0fc4a5c-d0a8-4919-9d0c-f577d2031718 00:14:55.729 --> 00:14:58.267 fine kindling and subsequent years. NOTE Confidence: 0.770629592307692 318f6ed2-9461-492a-ac86-8d3419647f4c 00:14:58.270 --> 00:14:59.719 But as long as it stays wet, NOTE Confidence: 0.770629592307692 e103c90f-9836-414b-9b40-3932dbddc5f3 00:14:59.720 --> 00:15:02.030 that kindling isn't very flammable. NOTE Confidence: 0.770629592307692 54186ba0-c323-464f-88e1-d2f085ea98e5 00:15:02.030 --> 00:15:04.102 When the area cycles back to an NOTE Confidence: 0.770629592307692 835346dd-bf6e-403f-906d-f762c652744e 00:15:04.102 --> 00:15:05.874 average or drier year, the great. NOTE Confidence: 0.770629592307692 68bbb91a-e809-4e54-b82e-d8d71d8d27f5 00:15:05.874 --> 00:15:07.386 basin is essentially built up a NOTE Confidence: 0.770629592307692 c8f31d7f-d6fa-4a7f-a7a8-062c6fa1a922 00:15:07.386 --> 00:15:08.795 store of highly flammable litter NOTE Confidence: 0.770629592307692 dcef27bd-5bf8-4737-95d0-f57162eb61a7 00:15:08.795 --> 00:15:10.220 just waiting to go off, NOTE Confidence: 0.770629592307692 872242b8-1b74-4dc8-9a10-f0a0567e87ae 00:15:10.220 --> 00:15:13.220 and this results in very severe fire years. NOTE Confidence: 0.770629592307692 8f56ae09-472f-45ee-9871-2ab64b52969e 00:15:13.220 --> 00:15:15.159 Fortunately, as things continue to stay dry, NOTE Confidence: 0.770629592307692 e0774cff-e363-4a8a-9899-65d899ae4b75 00:15:15.160 --> 00:15:16.861 the slider breaks down in a couple NOTE Confidence: 0.770629592307692 f55942c8-4b47-42eb-9537-b3d6f6dc58ae 00:15:16.861 --> 00:15:18.682 of years and isn't replaced in NOTE Confidence: 0.770629592307692 10507d58-5fa2-4fe4-b464-b8989eb11020 00:15:18.682 --> 00:15:19.717 such large quantities, NOTE Confidence: 0.770629592307692 1af53cf3-b571-4acc-a462-ca83bcade3ce 00:15:19.720 --> 00:15:21.585 so the fire threat drops NOTE Confidence: 0.770629592307692 ee837dd2-4a90-4b88-af87-90090f64009f 00:15:21.585 --> 00:15:23.077 until the cycle repeats. NOTE Confidence: 0.770629592307692 8565a730-d0a1-4679-a428-bdbe60094c27 00:15:23.080 --> 00:15:24.260 Without long term weather, NOTE Confidence: 0.770629592307692 1f336d25-f0e9-4222-84ad-1ea78fcbb01c 00:15:24.260 --> 00:15:26.355 vegetation and fire data sets to look NOTE Confidence: 0.770629592307692 537cce65-7157-493a-8d1f-db50b6a1ea75 00:15:26.355 --> 00:15:28.238 at this pattern across space and time, NOTE Confidence: 0.770629592307692 50a8ed3f-2537-4ee5-8469-d675ce86674b 00:15:28.240 --> 00:15:30.232 we would have never been able NOTE Confidence: 0.770629592307692 74adf266-736f-48fd-a708-da6a3a834ab4 00:15:30.232 --> 00:15:31.560 to statistically validate and NOTE Confidence: 0.770629592307692 9cf9f4db-80fb-4e93-8567-7a1201b485b9 00:15:31.616 --> 00:15:33.248 demonstrate the highly predictable NOTE Confidence: 0.770629592307692 2fae24df-3eb9-41e6-874f-5c02b3d5980f 00:15:33.248 --> 00:15:34.880 nature of this pattern. NOTE Confidence: 0.770629592307692 cf278259-bb0d-4744-8148-ef139786aa72 00:15:34.880 --> 00:15:36.336 Another we have a definition of a NOTE Confidence: 0.770629592307692 79739683-a025-45a6-b5c8-257cdce62e97 00:15:36.336 --> 00:15:37.711 long term data set and an example NOTE Confidence: 0.770629592307692 bc7158f4-4ced-4f9d-b632-f28297baf96d 00:15:37.711 --> 00:15:39.040 of what we can do with them. NOTE Confidence: 0.770629592307692 13c815f3-cb16-402e-bb1a-4737c760f1b6 00:15:39.040 --> 00:15:40.588 I want to turn our attention NOTE Confidence: 0.770629592307692 51ce44fc-79e1-4516-ac9a-87a227dc67e2 00:15:40.588 --> 00:15:42.316 to long term long term datasets NOTE Confidence: 0.770629592307692 13688b9c-f183-42d1-bc08-f3e6129afa56 00:15:42.316 --> 00:15:43.916 that I've been working on. NOTE Confidence: 0.770629592307692 357656f2-880f-46f1-a2be-c5d6e08db869 00:15:43.920 --> 00:15:46.272 The land treatment digital library and NOTE Confidence: 0.770629592307692 e1dc0947-9beb-4e49-8f57-6d1b31adfd23 00:15:46.272 --> 00:15:48.450 the combined wildland fire data set. NOTE Confidence: 0.770629592307692 4416aa7a-8b94-4d79-917a-1de46c6b72fc 00:15:48.450 --> 00:15:49.956 Let's spend some time talking about NOTE Confidence: 0.770629592307692 b3bf73e8-a9df-4429-b32b-eb538ac46e41 00:15:49.956 --> 00:15:51.410 why we developed each data set. NOTE Confidence: 0.770629592307692 91e15e1b-7c84-4dba-8ef3-b17aa3bcb46a 00:15:51.410 --> 00:15:53.930 Why is needed, how it's being used, NOTE Confidence: 0.848898663666667 8b40eb2d-3b21-490c-aab9-022d809b83f9 00:15:53.930 --> 00:15:55.919 and wrap up with how we are working to NOTE Confidence: 0.848898663666667 e7a27b8e-1d62-4df1-a849-6caa577126b4 00:15:55.919 --> 00:15:57.796 make these two datasets more publicly NOTE Confidence: 0.848898663666667 2ac449a7-b4f7-47d8-99a4-08aff45ac7c7 00:15:57.796 --> 00:15:59.735 accessible so that anyone can utilize NOTE Confidence: 0.848898663666667 36665cbe-2ba7-4072-ad40-fec677fa86bc 00:15:59.735 --> 00:16:01.716 the data to view patterns and trends NOTE Confidence: 0.848898663666667 1589c227-dfef-4a90-9a15-53a895354583 00:16:01.716 --> 00:16:03.292 and answer their own questions. NOTE Confidence: 0.848898663666667 e7354e8b-5dc0-4441-b9ad-ebc2752435fd 00:16:03.292 --> 00:16:04.962 Let's start with the land NOTE Confidence: 0.848898663666667 008cd4d7-4f8a-4f38-b791-d651fee63094 00:16:04.962 --> 00:16:06.110 treatment digital library, NOTE Confidence: 0.848898663666667 2b7e4638-90c4-4df3-8c47-94f4dc15343a 00:16:06.110 --> 00:16:08.432 or LTDL, and begin by defining NOTE Confidence: 0.848898663666667 585b82a0-e9d5-4b42-b276-3ffdee562c99 00:16:08.432 --> 00:16:10.280 what a land treatment is. NOTE Confidence: 0.848898663666667 40583aea-cbf2-4c2d-bb67-cc4a176b693b 00:16:10.280 --> 00:16:11.390 A land treatment can be thought NOTE Confidence: 0.848898663666667 246ccd4c-c750-4200-adc6-fb6b3c3fe458 00:16:11.390 --> 00:16:12.640 of as any on the ground, NOTE Confidence: 0.848898663666667 50295550-7dfd-4dd5-8850-7083f6a251af 00:16:12.640 --> 00:16:14.424 soil or vegetation manipulation NOTE Confidence: 0.848898663666667 a482fa81-90d6-4356-aa94-04b46f5e6582 00:16:14.424 --> 00:16:17.100 designed to meet a specific objective. NOTE Confidence: 0.848898663666667 e25e53d6-659e-4088-ac17-06ee97294afb 00:16:17.100 --> 00:16:18.128 Some examples include things NOTE Confidence: 0.848898663666667 04e7a180-8b86-416f-8400-185107d18e86 00:16:18.128 --> 00:16:19.970 you might do in your own yard, NOTE Confidence: 0.848898663666667 90bf5efd-b6b9-456c-94c8-584c80fc74e9 00:16:19.970 --> 00:16:22.517 just on a much larger scale in wild lens, NOTE Confidence: 0.848898663666667 9200ed7c-9ae8-472c-bb8d-e54ea5e4ccee 00:16:22.520 --> 00:16:24.935 exceeding an area to restore native grasses, NOTE Confidence: 0.848898663666667 c96e0c63-dbf2-4d7b-9602-c374d35291dd 00:16:24.940 --> 00:16:26.512 flower shrubs or trees, NOTE Confidence: 0.848898663666667 586edc36-595b-47b1-9fff-6d4338ea0c9d 00:16:26.512 --> 00:16:29.300 conducting a prescribed fire to reduce the NOTE Confidence: 0.848898663666667 f6a57748-75a0-49ed-bdb2-c00f600cd7ab 00:16:29.300 --> 00:16:31.470 threat of a dangerous wildfire spraying NOTE Confidence: 0.848898663666667 b93334d2-1c31-47a3-8a77-559138d256c2 00:16:31.470 --> 00:16:34.060 herbicide to kill unwanted plants and weeds, NOTE Confidence: 0.848898663666667 77425e05-c7fe-4370-85ad-5176c7890a34 00:16:34.060 --> 00:16:36.508 or fencing an area to protect it from animals NOTE Confidence: 0.848898663666667 789fa581-07ca-48a8-9829-377c23985c7d 00:16:36.508 --> 00:16:38.795 that might damage the soil or vegetation. NOTE Confidence: 0.848898663666667 5a72907c-a78b-4ab1-a3ff-df136351a3a6 00:16:38.800 --> 00:16:40.914 One agency that conducts thousands of land treatments  NOTE Confidence: 0.848898663666667 701fc5e9-a6b4-407f-9dbd-e4c8698fb7a9 00:16:40.920 --> 00:16:42.032 every year throughout NOTE Confidence: 0.848898663666667 6d414bde-8fd2-402f-8602-f07f2989d25e 00:16:42.032 --> 00:16:43.422 the Western United States is NOTE Confidence: 0.848898663666667 604a924b-7d30-4a45-bd9f-2a33ece6d8a2 00:16:43.422 --> 00:16:44.929 the Bureau of Land Management, NOTE Confidence: 0.848898663666667 46ff1a92-3662-4475-b6d4-0d7c332f30d4 00:16:44.930 --> 00:16:45.750 or BLM NOTE Confidence: 0.9253663 e7b08626-0221-4364-bd28-1aaf20eb0a71 00:16:49.000 --> 00:16:51.706 The BLM manages over 38,000 square NOTE Confidence: 0.9253663 91a5244d-130d-4964-8f88-e868a630a33d 00:16:51.706 --> 00:16:54.680 miles of land shown here in blue. NOTE Confidence: 0.9253663 aac4c41d-610f-4d13-afdd-803da24a67aa 00:16:54.680 --> 00:16:57.249 Almost all of it in the contiguous NOTE Confidence: 0.9253663 6f578026-3e6b-47d9-840d-0fb4cc0d727c 00:16:57.249 --> 00:16:59.139 western United States and Alaska. NOTE Confidence: 0.9253663 e8e5571e-0656-492b-ae07-1be7fbae0439 00:16:59.140 --> 00:17:00.874 The BLM is charged with managing NOTE Confidence: 0.9253663 194b1588-246a-4086-98a7-d3fb81d948d2 00:17:00.874 --> 00:17:02.360 the land for multiple uses, NOTE Confidence: 0.9253663 f3e318de-96ff-41b0-be9d-bee4012bd16f 00:17:02.360 --> 00:17:04.766 including mineral, gas and oil development, NOTE Confidence: 0.9253663 2c324486-5e57-4228-838b-16072c0d4519 00:17:04.770 --> 00:17:07.442 recreation, grazing and maintaining, NOTE Confidence: 0.9253663 f03c94c8-daa8-4d16-bf8a-96aa0c250374 00:17:07.442 --> 00:17:10.114 maintaining native healthy landscapes. NOTE Confidence: 0.9253663 9f5ff146-45b8-424e-ac58-e7861350dd87 00:17:10.120 --> 00:17:13.235 The BLM manages huge swaths of rangeland, NOTE Confidence: 0.9253663 c89792d7-da11-4f0a-a39a-1252e2bc1718 00:17:13.240 --> 00:17:15.280 mostly consisting of grasses and shrubs, NOTE Confidence: 0.9253663 59c24c40-f928-49a3-84a0-2edffb79dc49 00:17:15.280 --> 00:17:17.280 but also some forests. NOTE Confidence: 0.9253663 51f2ce24-cb3e-4a22-a2f1-8831bc2a3c21 00:17:17.280 --> 00:17:20.000 Lately, the BLM has been constantly battling NOTE Confidence: 0.9253663 9c9f74e1-4ffe-436c-9db1-47be957bb2da 00:17:20.000 --> 00:17:22.259 threats to the ecosystems they manage, NOTE Confidence: 0.9253663 243ed3a2-b20d-498e-8b02-52fc87cfc7c9 00:17:22.260 --> 00:17:25.410 and the biggest threats tend to be NOTE Confidence: 0.9253663 f00a6d10-c50d-44e4-852f-c5ee2c1a526f 00:17:25.410 --> 00:17:27.480 wildfires and invasive species. NOTE Confidence: 0.9253663 b296bc21-de9b-4c02-acbe-b27d23d3ffd4 00:17:27.480 --> 00:17:31.596 Fires consumed the native grasses and shrubs. NOTE Confidence: 0.9253663 4bd20134-bb1b-4a5f-a53a-c40f91b72320 00:17:31.600 --> 00:17:33.240 And after the fires, NOTE Confidence: 0.9253663 7b8b5abc-ea2a-4c75-a2ec-f412fe51cdc8 00:17:33.240 --> 00:17:35.290 invasive nonnative species often move NOTE Confidence: 0.9253663 71a9b35b-c898-492a-beb4-d5b4d394e092 00:17:35.290 --> 00:17:38.077 in and make the area even more fire NOTE Confidence: 0.9253663 a53e78ec-cdf3-41b3-adbf-90a907bfcf97 00:17:38.077 --> 00:17:40.352 prone and create a feedback loop NOTE Confidence: 0.9253663 c5017b75-62c4-4d35-8586-dab7a2169659 00:17:40.352 --> 00:17:42.372 where successive fire makes invasion NOTE Confidence: 0.9253663 5d9acc64-bd58-4267-85be-94531b7691ac 00:17:42.372 --> 00:17:46.080 by even more non natives more likely. NOTE Confidence: 0.9253663 91c750f5-388d-4165-8e76-5b43980edad5 00:17:46.080 --> 00:17:47.925 These cycles destroy native vegetation NOTE Confidence: 0.9253663 276ac1a7-3a60-40f4-8d1d-95ab89aeb456 00:17:47.925 --> 00:17:50.729 and create an ecosystem that is both less NOTE Confidence: 0.9253663 ff63c891-9ca0-47b0-b9b4-20dc37ca997f 00:17:50.729 --> 00:17:52.517 hospitable to other native life forms NOTE Confidence: 0.9253663 ef7f2b0a-d2f1-49dc-b8da-644097524a0e 00:17:52.517 --> 00:17:55.079 and more likely to burn again in the future. NOTE Confidence: 0.9253663 b0fb888c-6ac2-4023-a511-8b82daa0291d 00:17:55.080 --> 00:17:56.760 To combat these and other threats, NOTE Confidence: 0.9253663 7fdba851-78a2-4820-ade7-c5b73f396c7d 00:17:56.760 --> 00:17:58.300 the BLM conducts many NOTE Confidence: 0.9253663 f5a17b0c-e620-40f9-805e-347a9eee28fb 00:17:58.300 --> 00:17:59.455 different land treatments. NOTE Confidence: 0.9253663 288bf870-9c16-474c-b484-618e779deb29 00:17:59.460 --> 00:18:01.140 We need to know where these NOTE Confidence: 0.9253663 08792301-b7e6-43e1-9d78-65577dd402f5 00:18:01.140 --> 00:18:02.260 treatments have been conducted. NOTE Confidence: 0.9253663 88fd0f4c-5fe8-4d40-9627-667ad84f893c 00:18:02.260 --> 00:18:03.764 So we can see what has been done, NOTE Confidence: 0.9253663 1997878c-6114-4a3a-b7e3-b34d831a8d25 00:18:03.770 --> 00:18:04.820 monitor for effectiveness NOTE Confidence: 0.9253663 1a3f2c23-220e-4610-8a35-a2573377cdba 00:18:04.820 --> 00:18:05.870 of these treatments, NOTE Confidence: 0.9253663 a2eef16a-99f4-47b8-833d-9e7925ab7c91 00:18:05.870 --> 00:18:07.760 determine what has worked and what hasn't, NOTE Confidence: 0.9253663 d1980ccd-113e-44a8-90de-7d69b2fe64b8 00:18:07.760 --> 00:18:09.650 and be better prepared to respond and NOTE Confidence: 0.9253663 82271571-7ef2-4020-8101-f203e8652823 00:18:09.650 --> 00:18:11.509 adjust the outcomes of future treatments, NOTE Confidence: 0.9253663 59bed9a3-d018-4915-91bd-3ff572e5ad97 00:18:11.510 --> 00:18:14.930 a concept known as adaptive management. NOTE Confidence: 0.9253663 df02eed8-b2da-46e0-9ca7-50d9ebc052a4 00:18:14.930 --> 00:18:16.730 Adaptive management occurs when a NOTE Confidence: 0.9253663 78c9a07a-e956-4cd6-a202-dbfdcd3d0bd4 00:18:16.730 --> 00:18:18.530 treatment is planned and implemented. NOTE Confidence: 0.9253663 50f869ec-e174-4824-a51f-22cf99c87478 00:18:18.530 --> 00:18:20.804 Its effectiveness is monitored and all NOTE Confidence: 0.9253663 7496ecd0-0ecf-4ed3-b59d-715cf7e75ddc 00:18:20.804 --> 00:18:23.280 that information is archived so that it NOTE Confidence: 0.9253663 35f4b907-66ab-4f74-92df-9c001f6debdc 00:18:23.280 --> 00:18:25.380 can be used for future treatment planning. NOTE Confidence: 0.9253663 5d464332-0e14-4abe-a3af-5593b52798d9 00:18:25.380 --> 00:18:27.820 The only way to do this effectively at NOTE Confidence: 0.9253663 a355151e-b605-4851-8ede-ac75d26f4e97 00:18:27.820 --> 00:18:30.060 a landscape level is by centralizing NOTE Confidence: 0.9253663 483cda0b-0641-47c8-8f4b-7c429cd2b150 00:18:30.060 --> 00:18:32.314 and standardizing the data until 2008, NOTE Confidence: 0.9253663 2c288d3c-e73b-4ac3-b1a1-66e5300317c9 00:18:32.314 --> 00:18:34.743 when I first started the LTDL documentation NOTE Confidence: 0.9253663 2737f284-d5f5-400f-bfba-cc15ccbb080f 00:18:34.743 --> 00:18:36.975 on these biam land treatments were NOTE Confidence: 0.9253663 d444faf4-277c-4ad6-9fbb-cbf1cc6ad0c8 00:18:36.975 --> 00:18:38.800 stored only in file cabinets, NOTE Confidence: 0.9253663 a32c7b19-f039-46f8-8da5-7dbc00cdf7d4 00:18:38.800 --> 00:18:39.928 local hard drives, NOTE Confidence: 0.9253663 b2139b32-1207-4489-b2c7-9b4b1e2e5dfe 00:18:39.928 --> 00:18:41.432 internal servers and databases NOTE Confidence: 0.9253663 dd0d0adb-cb44-40ed-82cf-bd3c45d8ece2 00:18:41.432 --> 00:18:43.698 are even just in someone's mind. NOTE Confidence: 0.9253663 83df5d2b-28c5-43a3-8b57-8a5ca4d88040 00:18:43.700 --> 00:18:45.516 This decentralized storage method NOTE Confidence: 0.9253663 b72b2006-3edd-47d4-819f-1543c4d0550d 00:18:45.516 --> 00:18:46.878 can inhibit research, NOTE Confidence: 0.9253663 d1667bb5-9b9c-48b2-a415-0c02655fcd3b 00:18:46.880 --> 00:18:48.722 knowledge sharing and in worst case NOTE Confidence: 0.9253663 7518960d-6b58-4e73-88ea-3e7f25afb5b0 00:18:48.722 --> 00:18:50.818 scenarios can lead to a loss of data. NOTE Confidence: 0.9253663 0f709d2f-96d9-47c6-8282-67198e0dc779 00:18:50.820 --> 00:18:52.495 The desire to capture centralized NOTE Confidence: 0.9253663 7081a761-ecc0-4bcc-80cb-4d5f7d4578cd 00:18:52.495 --> 00:18:53.835 and store that information, NOTE Confidence: 0.9253663 930a71e6-e96b-473d-a228-b441f6cc6ddc 00:18:53.840 --> 00:18:55.580 in other words, to archive it. NOTE Confidence: 0.9253663 b50281d8-15b0-4113-92e5-63d4c645a764 00:18:55.580 --> 00:18:57.338 Was one of the main drivers NOTE Confidence: 0.9253663 f1801b57-009a-4b68-9595-3ddc8c7c3400 00:18:57.338 --> 00:18:59.100 behind the creation of the LTDL. NOTE Confidence: 0.9253663 8a7a6008-f9ad-42c4-b925-f07dd2e60097 00:18:59.100 --> 00:19:00.520 So what is the LDL? NOTE Confidence: 0.9253663 0e50c938-3111-4e3e-9cc2-6ae86c3349a3 00:19:00.520 --> 00:19:02.740 It's a data repository or library NOTE Confidence: 0.9253663 173cf2e2-a6fe-4bd4-a224-915fe4f8195d 00:19:02.740 --> 00:19:04.220 designed to capture detailed NOTE Confidence: 0.9253663 dcce257b-5f36-4810-9942-e20cbd08fc71 00:19:04.287 --> 00:19:06.139 information on land treatments. NOTE Confidence: 0.9253663 053ee8b0-edfb-45d9-8b7b-5d3c91688dc8 00:19:06.140 --> 00:19:08.204 We don't call it a database because it NOTE Confidence: 0.9253663 b52e181d-941a-4014-b92d-29927bdba898 00:19:08.204 --> 00:19:10.120 stores so much more than just data. NOTE Confidence: 0.9253663 7acd91b1-a301-44e4-981e-e03b8202586c 00:19:10.120 --> 00:19:11.940 We capture the spatial location NOTE Confidence: 0.9253663 a3b20e0e-b96f-4448-bee6-fc9e6a9c5c3f 00:19:11.940 --> 00:19:13.396 the treatment took place, NOTE Confidence: 0.9253663 e2480a9c-df21-4407-a63a-5d60ab952051 00:19:13.400 --> 00:19:14.768 supporting documentation like NOTE Confidence: 0.9253663 2ddeb951-954d-47c1-8356-0e0b079afcbc 00:19:14.768 --> 00:19:16.136 plans and reports, NOTE Confidence: 0.9253663 3d253604-5470-47af-ada2-49b69e6665db 00:19:16.140 --> 00:19:18.205 and hundreds of tabular data NOTE Confidence: 0.9253663 a8fa46f5-aeb9-425e-8ff2-13c8dea495fd 00:19:18.205 --> 00:19:19.857 fields for some treatments. NOTE Confidence: 0.9253663 fdb9a021-22fc-4978-aa59-9be52dd834bc 00:19:19.860 --> 00:19:22.065 We can tell you exactly where treatment NOTE Confidence: 0.9253663 52e3381e-dcb0-4ac8-80ad-be180ea07128 00:19:22.065 --> 00:19:24.500 took place when the treatment took place, NOTE Confidence: 0.9253663 717407c1-ed52-46f3-a7d8-edd14a93cdff 00:19:24.500 --> 00:19:25.872 what species were seeded. NOTE Confidence: 0.9253663 9ff021f2-b040-404c-adec-610d6c3877bb 00:19:25.872 --> 00:19:27.930 Or what chemicals and what amounts NOTE Confidence: 0.9253663 ed677816-8d29-45f6-8e97-2d8bf6be661d 00:19:27.991 --> 00:19:29.647 were used to spray for weeds. NOTE Confidence: 0.9253663 a2715444-9147-4203-b360-6393f0e95740 00:19:29.650 --> 00:19:31.915 Currently we capture information on NOTE Confidence: 0.9253663 6874f4e1-dda8-47cd-8641-8175916c8708 00:19:31.915 --> 00:19:34.180 BLM activities in the contiguous NOTE Confidence: 0.9253663 fa97bbb9-a47a-4acc-b356-0c6b992a4146 00:19:34.255 --> 00:19:36.264 Western US only as that is what NOTE Confidence: 0.9253663 206c21d2-d9e4-4f88-b413-05273d289f53 00:19:36.264 --> 00:19:38.260 the BLM has funded us to do. NOTE Confidence: 0.9253663 bed496f9-b8e6-49ee-9f31-53db246cdd15 00:19:38.260 --> 00:19:40.717 Now, once the utility of the LTA was proven, NOTE Confidence: 0.9253663 527d329e-4452-4f72-963e-ec85da437258 00:19:40.720 --> 00:19:43.018 interest in this product has exploded. NOTE Confidence: 0.9253663 5013c727-0774-4458-b436-bba21105aa82 00:19:43.020 --> 00:19:43.452 Today, NOTE Confidence: 0.9253663 50cb532d-f277-4cd9-813b-2363be04fec5 00:19:43.452 --> 00:19:46.044 crews still traveled over 100 BLM NOTE Confidence: 0.9253663 a3f7123b-8976-4f25-869d-a30e53517c6d 00:19:46.044 --> 00:19:48.390 field offices across the West to NOTE Confidence: 0.9253663 34e76919-a6f7-4ded-abd2-ac1698bb40f3 00:19:48.390 --> 00:19:50.672 collect or scan the data and manually NOTE Confidence: 0.786809813333333 e9a9c959-0cae-4a63-84f6-963d9122d393 00:19:50.739 --> 00:19:52.067 enter into the LTDL. NOTE Confidence: 0.786809813333333 440475a4-e56c-46f1-aacd-1557f9702a81 00:19:52.070 --> 00:19:53.510 There is a reason the project NOTE Confidence: 0.786809813333333 a52218c2-f16c-4c8c-a0b0-0ec54539a13f 00:19:53.510 --> 00:19:54.959 still has ongoing to this day, NOTE Confidence: 0.786809813333333 df51ed0e-a5e4-4075-9a57-daae8acc9ab0 00:19:54.960 --> 00:19:56.388 capturing and recording information NOTE Confidence: 0.786809813333333 763c364d-9926-4ec9-a6f6-9b532c280b4e 00:19:56.388 --> 00:19:58.173 on thousands of land treatments NOTE Confidence: 0.786809813333333 504d531c-be8f-431a-83b6-ae6b5a877891 00:19:58.173 --> 00:19:59.658 every year is no small task, NOTE Confidence: 0.786809813333333 859e0f3c-4988-4938-a10d-9dc980243829 00:19:59.660 --> 00:20:01.916 even for a group of individuals. NOTE Confidence: 0.786809813333333 b278bbc4-2103-4475-861d-1b814760eb1b 00:20:01.920 --> 00:20:03.576 However, our crews have worked hard NOTE Confidence: 0.786809813333333 70ab5c64-5892-412b-bb4d-c3952fa35ba0 00:20:03.576 --> 00:20:05.651 over the years and currently we have NOTE Confidence: 0.786809813333333 5c601e6f-76c3-4f27-aaa5-dacdc6f30ec0 00:20:05.651 --> 00:20:08.200 nearly 60,000 treatments in the LTDL. NOTE Confidence: 0.786809813333333 3bd1d870-fe8f-48ca-993b-8a0942af0c35 00:20:08.200 --> 00:20:10.678 Shown here in those little red NOTE Confidence: 0.786809813333333 ca50e01d-1d7d-42e4-9f03-cf6c478e818b 00:20:10.678 --> 00:20:12.878 polygons and they reported treating NOTE Confidence: 0.786809813333333 a5c63510-375b-4ee4-aea5-8cfaf8296c89 00:20:12.878 --> 00:20:15.170 over 57 million acres of land. NOTE Confidence: 0.786809813333333 fe0e2263-3032-4e68-aaa2-978fead74faf 00:20:15.170 --> 00:20:17.162 Now many of those acres are NOTE Confidence: 0.786809813333333 bc722767-99fb-4a86-b7f7-2c26023f4119 00:20:17.162 --> 00:20:18.158 multiple treatments being NOTE Confidence: 0.786809813333333 df3459b6-5107-4dd4-80ca-ee98bca816be 00:20:18.158 --> 00:20:19.547 conducted over the same area. NOTE Confidence: 0.786809813333333 56ba8841-9bf3-463a-bdb0-77eb77b418fe 00:20:19.550 --> 00:20:22.077 And we don't actually have Polygon areas NOTE Confidence: 0.786809813333333 74e6f62e-4d42-46cb-a128-bc90d8f1061a 00:20:22.077 --> 00:20:25.015 for all the information in the LTDL NOTE Confidence: 0.786809813333333 82b260cd-3d13-440c-ba11-5c7359bcff73 00:20:25.015 --> 00:20:27.685 still our uniquely treated Polygon areas NOTE Confidence: 0.786809813333333 39beed33-cc41-484e-bce1-d742c796252a 00:20:27.755 --> 00:20:29.640 cover over 24 million acres of land NOTE Confidence: 0.786809813333333 ffb34c02-e767-4901-b68a-2407cb723825 00:20:29.640 --> 00:20:31.469 or larger than the state of Maryland. NOTE Confidence: 0.786809813333333 deffb853-7f28-4821-8d1e-fb3b546eab5f 00:20:31.470 --> 00:20:34.050 It's a phenomenal amount of data. NOTE Confidence: 0.786809813333333 427d391e-7617-4d5f-bbf3-2ceb6a1efaed 00:20:34.050 --> 00:20:35.810 Let's take a look at some of the NOTE Confidence: 0.786809813333333 7ea76b3c-1615-43bb-aeb0-bc455aa71e09 00:20:35.810 --> 00:20:37.204 highlights in the LTDL as I think NOTE Confidence: 0.786809813333333 74a43610-ffba-41ec-88fe-ad89048e6d0b 00:20:37.204 --> 00:20:38.662 this is a truly an impressive data NOTE Confidence: 0.786809813333333 2f7a4175-2878-4ca2-88d0-6734c464b520 00:20:38.662 --> 00:20:41.558 set of the BLM's treatment history. NOTE Confidence: 0.786809813333333 45953871-bcfb-49a2-aebd-92479ae7d4c0 00:20:41.560 --> 00:20:43.345 The first year we have a record NOTE Confidence: 0.786809813333333 166a5d3e-99b4-4538-a101-d53654bf623d 00:20:43.345 --> 00:20:45.119 of a treatment is actually 1917. NOTE Confidence: 0.786809813333333 2cb8839b-f703-4668-8bd4-deb0e39b204e 00:20:45.120 --> 00:20:47.857 Head is before the BLM even existed. NOTE Confidence: 0.786809813333333 09591130-9451-464b-8049-e7c7ecb2bbb3 00:20:47.860 --> 00:20:50.520 The most recent is 2022. NOTE Confidence: 0.786809813333333 47d86caf-b181-4a87-b727-c88ce6a58956 00:20:50.520 --> 00:20:52.095 We have over 15,000 ceiling NOTE Confidence: 0.786809813333333 a1317142-8f35-45a0-85a9-e44020b34d5d 00:20:52.095 --> 00:20:53.960 treatments shown here in the map, NOTE Confidence: 0.786809813333333 c1a51172-aa85-4c75-b1e9-dfdb24d4765b 00:20:53.960 --> 00:20:56.120 including 3600 aerial seatings where they're NOTE Confidence: 0.786809813333333 df9af96d-c8c9-4f16-8770-e521aee5c5ac 00:20:56.120 --> 00:20:58.728 dropping seed from a plane or helicopter. NOTE Confidence: 0.786809813333333 000897d8-49e4-453d-8958-8598aac30f66 00:20:58.730 --> 00:21:00.480 Over 4000 drill Seatings where they're using NOTE Confidence: 0.786809813333333 a780bee2-9be2-4c2c-90f7-05cff855bbbc 00:21:00.480 --> 00:21:02.638 a drill to stick the seat under the soil, NOTE Confidence: 0.786809813333333 bfec9953-99a3-4e75-b61d-7974f2aa6de9 00:21:02.640 --> 00:21:05.790 and 6400 other seeding types. NOTE Confidence: 0.786809813333333 e6a4a13f-08bd-483e-a0e1-b8f09e989146 00:21:05.790 --> 00:21:07.698 While you're looking at these maps, NOTE Confidence: 0.786809813333333 6646e1e2-81e2-4670-8917-5e375c13ecf2 00:21:07.700 --> 00:21:09.500 I want you to see if you can identify NOTE Confidence: 0.786809813333333 04bc42b1-bd78-4474-88dc-fa900926ecb3 00:21:09.500 --> 00:21:10.879 patterns and determine which areas, NOTE Confidence: 0.786809813333333 7f811075-1cf6-4292-817a-d9e2f8d72923 00:21:10.880 --> 00:21:12.860 or see if the most treatments. NOTE Confidence: 0.786809813333333 8aaa4655-7bc2-4cb2-95c4-994fa5dde1a1 00:21:12.860 --> 00:21:13.140 Now. NOTE Confidence: 0.786809813333333 b75da98f-db62-43bc-8c01-0b2d1cb6d09f 00:21:13.140 --> 00:21:15.100 If you look at the legend here. NOTE Confidence: 0.786809813333333 f892078c-be94-4334-9271-adc86743ffb8 00:21:15.100 --> 00:21:17.140 You notice that we have polygons, NOTE Confidence: 0.786809813333333 67cbe448-de2c-48a9-b21d-40d89a47d505 00:21:17.140 --> 00:21:19.555 lines and points to represent our seatings. NOTE Confidence: 0.786809813333333 2f8b9dfb-1007-4dd9-837c-b585a5434184 00:21:19.560 --> 00:21:21.660 Now point seeding doesn't make any sense. NOTE Confidence: 0.786809813333333 c364afdf-50f3-4f57-8b86-b495c010b31e 00:21:21.660 --> 00:21:23.058 You're not going to drop seed NOTE Confidence: 0.786809813333333 10969b75-6755-406b-9e6c-421acd6f6053 00:21:23.058 --> 00:21:24.760 in a single spot on the ground, NOTE Confidence: 0.786809813333333 02846b68-4a46-4a78-ac65-cf4e1a85de46 00:21:24.760 --> 00:21:26.664 though when it comes to long term data NOTE Confidence: 0.786809813333333 6587a17a-ed65-400d-96a9-041a66a4ef9f 00:21:26.664 --> 00:21:28.697 sets or any data set for that matter, NOTE Confidence: 0.786809813333333 47aa1efa-d44f-4e58-8d1d-f81a21dc663c 00:21:28.700 --> 00:21:29.480 context matters. NOTE Confidence: 0.786809813333333 f4686b60-2c38-4274-8f68-64020e23fdff 00:21:29.480 --> 00:21:31.820 You need to understand the reasoning NOTE Confidence: 0.786809813333333 86905290-0d64-400a-840e-2df95168c935 00:21:31.820 --> 00:21:33.560 behind what you are seeing. NOTE Confidence: 0.786809813333333 42031520-21ae-4859-a169-204d6acd55c9 00:21:33.560 --> 00:21:34.574 In this case. NOTE Confidence: 0.786809813333333 c7b8ca7e-e936-491d-a931-ffd34b11bb7a 00:21:34.574 --> 00:21:36.264 We don't have exact spatial NOTE Confidence: 0.786809813333333 10cd7a0a-876f-4c62-9617-6c243a453902 00:21:36.264 --> 00:21:38.180 locations for all our treatments. NOTE Confidence: 0.786809813333333 c9642777-a1f3-4945-a488-eeda4f4873aa 00:21:38.180 --> 00:21:39.848 Some of that has been lost. NOTE Confidence: 0.786809813333333 a0218d05-74f3-4d55-ac75-58e787ec9d98 00:21:39.850 --> 00:21:41.544 So we place an approximate point on NOTE Confidence: 0.786809813333333 a3f2cb4c-4f76-42fc-a788-870e5b09df97 00:21:41.544 --> 00:21:43.495 the ground to indicate that a treatment NOTE Confidence: 0.786809813333333 1fefbb33-bffc-444c-9615-37ac5632152f 00:21:43.495 --> 00:21:45.247 took place somewhere in the area. NOTE Confidence: 0.786809813333333 f153377b-1b58-4e11-8c2b-f3bbb94e6c4c 00:21:45.250 --> 00:21:45.846 Some data, NOTE Confidence: 0.786809813333333 a6a14e88-e73a-40a1-86b3-8a452c48036f 00:21:45.846 --> 00:21:47.336 even if it isn't perfect, NOTE Confidence: 0.786809813333333 ef4972ee-7344-4aaa-987a-715714e92030 00:21:47.340 --> 00:21:48.924 it's still better than no data NOTE Confidence: 0.786809813333333 ba141ccc-143a-4b43-ab09-aae05a9de9c7 00:21:48.924 --> 00:21:50.729 as long as you qualify and NOTE Confidence: 0.786809813333333 fd564a25-2b1f-497b-b8b0-fcb4514af518 00:21:50.729 --> 00:21:52.793 understand what you are looking at. NOTE Confidence: 0.786809813333333 80222cb5-032f-4ab7-95bb-64f5068318fe 00:21:52.800 --> 00:21:55.473 The LTDL has a lot more than just seedlings. NOTE Confidence: 0.786809813333333 8dac13b8-9687-4a2c-913d-0061e8d89578 00:21:55.480 --> 00:21:58.660 We have over 6700 prescribed burns NOTE Confidence: 0.786809813333333 2c6b9d7f-1428-4ca5-87bd-42f647d2cb3d 00:21:58.660 --> 00:22:00.985 over 3800 soil disturbances like NOTE Confidence: 0.786809813333333 173f57d0-88c1-4b3a-9b9b-435f654a4ef5 00:22:00.985 --> 00:22:04.285 plowing or disking over 5400 timber NOTE Confidence: 0.786809813333333 31d7f2b2-3fbb-4122-bed3-e7ed13ee155c 00:22:04.285 --> 00:22:07.234 harvests and over 5500 vegetation NOTE Confidence: 0.786809813333333 fab4c72c-158c-4730-97e0-fe2c05c96c4f 00:22:07.234 --> 00:22:10.366 disturbances like mowing or hand cutting. NOTE Confidence: 0.786809813333333 739075fc-001a-4182-aef9-427dcd0562f8 00:22:10.370 --> 00:22:12.022 When you stack all those treatments up NOTE Confidence: 0.786809813333333 b9c0ef28-692c-4df3-8cfb-137431b31bd3 00:22:12.022 --> 00:22:14.330 on a map, the results are impressive, NOTE Confidence: 0.786809813333333 ea849d6d-4c4a-481e-a29f-c67b7479f199 00:22:14.330 --> 00:22:15.882 but again, context matters. NOTE Confidence: 0.786809813333333 a61383a8-4d8a-444d-8b5f-8f8d4e35c949 00:22:15.882 --> 00:22:17.762 The seatings and prescribed fires NOTE Confidence: 0.786809813333333 ec99c05e-c999-423e-93be-a46780cf4fe7 00:22:17.762 --> 00:22:19.830 in green and orange, respectively, NOTE Confidence: 0.786809813333333 3994774e-3458-4727-b03b-e4e3d3ea948f 00:22:19.830 --> 00:22:22.130 are underneath the other treatments NOTE Confidence: 0.786809813333333 50964579-a290-4cf0-a2a7-8217ebb921f1 00:22:22.130 --> 00:22:23.510 on this map. NOTE Confidence: 0.786809813333333 dd848d27-4365-4d7c-877e-1d26c5b1b65f 00:22:23.510 --> 00:22:25.067 If I were to just show you this map, NOTE Confidence: 0.786809813333333 87533e22-93c3-4fb7-ba1a-89194b9eabec 00:22:25.070 --> 00:22:26.953 you might come away thinking the BLM NOTE Confidence: 0.786809813333333 fb27095b-cf51-405a-98cc-408326c6aa3b 00:22:26.953 --> 00:22:28.949 does very few seedings or burnings. NOTE Confidence: 0.786809813333333 773cf986-2c9d-4928-a450-0893ab13511a 00:22:28.950 --> 00:22:29.277 However, NOTE Confidence: 0.786809813333333 1b59c94a-48a5-4c15-8d57-9d0de8951117 00:22:29.277 --> 00:22:31.239 I could tell a completely different NOTE Confidence: 0.786809813333333 96006da1-9065-4809-8dc2-2c9fa8077f3a 00:22:31.239 --> 00:22:33.338 story if I put those seedings NOTE Confidence: 0.786809813333333 8e50b361-5b19-44ea-a92f-1657cf307bb3 00:22:33.338 --> 00:22:35.088 and prescribed burns on top. NOTE Confidence: 0.786809813333333 c14757f0-c74d-48d4-8d20-8bb860318664 00:22:35.090 --> 00:22:37.050 Now it looks like the BLM does NOTE Confidence: 0.786809813333333 fadfeb52-0f9b-4809-8c96-a4bb85edfb1b 00:22:37.050 --> 00:22:37.890 almost nothing but NOTE Confidence: 0.799209825454545 337a67ab-88b1-40bd-8bf0-dab4dc80be8e 00:22:37.954 --> 00:22:39.862 seatings. So what can long NOTE Confidence: 0.799209825454545 27a492bd-e4c4-4afe-b7a8-b61dfc256002 00:22:39.862 --> 00:22:41.602 term data sets teach us? NOTE Confidence: 0.799209825454545 04ff64a2-c92e-4dc9-bafd-7379f431b9cd 00:22:41.610 --> 00:22:43.334 First off, context matters. NOTE Confidence: 0.799209825454545 37a7d218-5dc8-4dc6-b14d-80a84a506005 00:22:43.334 --> 00:22:45.489 With enough data by showing NOTE Confidence: 0.799209825454545 b018291a-8ef7-456f-ba24-c1d38c5a7025 00:22:45.489 --> 00:22:47.169 you bits and pieces, NOTE Confidence: 0.799209825454545 7a1e349a-4877-48ed-98c0-c66b389557ae 00:22:47.170 --> 00:22:49.338 I could tell you any story I wanted. NOTE Confidence: 0.799209825454545 abfc8147-740f-4560-b2f3-9f1cb7c1addf 00:22:49.340 --> 00:22:51.890 Understanding the details behind the data, NOTE Confidence: 0.799209825454545 f15c213d-8357-415d-a05a-1f7e77407d9a 00:22:51.890 --> 00:22:53.070 how it was collected, NOTE Confidence: 0.799209825454545 4e08fd04-e77b-4074-bc41-ef4826e2e603 00:22:53.070 --> 00:22:55.241 and what the caveats are can help NOTE Confidence: 0.799209825454545 daa246e1-05f1-4229-8ad5-fe95ae7493b1 00:22:55.241 --> 00:22:56.951 you really understand and appreciate NOTE Confidence: 0.799209825454545 5563ba47-4827-4c86-a8c8-3173ef399f2f 00:22:56.951 --> 00:22:59.029 the data you are looking at. NOTE Confidence: 0.799209825454545 e642e534-888a-4add-8031-dcc30757c5d1 00:22:59.030 --> 00:23:02.090 So let's look at the LTDL data another way. NOTE Confidence: 0.799209825454545 7c525a4c-a0fe-421d-be98-ddba7ad4094c 00:23:02.090 --> 00:23:04.589 Here's a graph showing a count of NOTE Confidence: 0.799209825454545 0364d444-e954-4810-9394-e5938738dfea 00:23:04.589 --> 00:23:06.559 all treatments in the LTDL completion NOTE Confidence: 0.799209825454545 631d0bb9-27b6-4b1d-942a-83ba60bf1f90 00:23:06.559 --> 00:23:08.711 year of the treatment is on the X NOTE Confidence: 0.799209825454545 6871d6d0-d942-4e16-855f-4e9d0db324fa 00:23:08.711 --> 00:23:10.888 axis at the bottom and the number of NOTE Confidence: 0.799209825454545 3a411ef9-3ed1-4364-9018-8af20b413b05 00:23:10.888 --> 00:23:12.995 treatments is on the Y axis on the left. NOTE Confidence: 0.799209825454545 38542a92-7451-4dbe-8a87-6121d7f0ef69 00:23:13.000 --> 00:23:14.974 One of the many context specific fields NOTE Confidence: 0.799209825454545 487d55f6-4550-408e-a5f8-75c6bcaf8277 00:23:14.974 --> 00:23:17.739 we have in the LTDL indicates whether we NOTE Confidence: 0.799209825454545 789d8565-f582-4714-8d12-95c6e5db3275 00:23:17.739 --> 00:23:20.000 have confirmation the treatment took place. NOTE Confidence: 0.799209825454545 b9175005-2b92-40e6-853d-c44eef64e6d1 00:23:20.000 --> 00:23:23.444 Is it a confirmed treatment or planned NOTE Confidence: 0.799209825454545 a4c61809-de06-4630-a217-9fc94a85a331 00:23:23.444 --> 00:23:24.920 unknown implementation treatment? NOTE Confidence: 0.799209825454545 223f500e-2314-4545-ae2f-8bd1c08946be 00:23:24.920 --> 00:23:26.824 We know from talking to the BLM that NOTE Confidence: 0.799209825454545 16e524cb-705d-48f8-9e25-4a2fd8aca508 00:23:26.824 --> 00:23:28.258 planned treatments were often conducted, NOTE Confidence: 0.799209825454545 9f8dba0d-5254-417d-b7f0-5c7885a735eb 00:23:28.260 --> 00:23:29.856 even if we can't confirm it, NOTE Confidence: 0.799209825454545 e64a55ae-f349-4ac3-a31c-933aa80377e3 00:23:29.860 --> 00:23:31.880 so we didn't want to get rid of the data. NOTE Confidence: 0.799209825454545 03a3f27f-af2a-4415-9412-a0c907d25f67 00:23:31.880 --> 00:23:33.410 We just wanted to provide NOTE Confidence: 0.799209825454545 d1b0e3a3-ee57-441d-8458-69b2bf6ecea8 00:23:33.410 --> 00:23:34.940 additional context to that data. NOTE Confidence: 0.84777155 9b4f100e-8b18-40c0-8a29-a210f481ada6 00:23:38.080 --> 00:23:39.248 But I want to look at the data NOTE Confidence: 0.84777155 29731b28-d722-407c-a0f1-fbfb996ff252 00:23:39.248 --> 00:23:40.460 set of only those treatments. NOTE Confidence: 0.84777155 ddb88d6c-7a50-4fe5-9c06-8388a2fc7254 00:23:40.460 --> 00:23:41.524 I know took place. NOTE Confidence: 0.84777155 bea1be75-bc7d-4315-8875-1f586f0be074 00:23:41.524 --> 00:23:43.120 I can filter on that data. NOTE Confidence: 0.84777155 8eb5557d-7fd1-4e50-8e61-d47c94ed26ea 00:23:43.120 --> 00:23:45.598 In this case it all the registrated NOTE Confidence: 0.84777155 3817db77-d6b0-4ec3-8e56-2f98d398dd4e 00:23:45.598 --> 00:23:47.104 area which compromised the NOTE Confidence: 0.84777155 7a3fd9bf-e9a5-46dc-9453-0d55612c39c3 00:23:47.104 --> 00:23:48.616 majority of the treatments. NOTE Confidence: 0.84777155 8ba15a7f-8623-4f77-a116-9556d54bd21d 00:23:48.620 --> 00:23:49.880 We have qualifiers like NOTE Confidence: 0.84777155 884b4e1d-6c92-4c78-a97c-333ebecbd7e7 00:23:49.880 --> 00:23:51.455 this all over the LTDL, NOTE Confidence: 0.84777155 8072721b-c984-4011-93e4-0b88f4b1ab53 00:23:51.460 --> 00:23:53.710 allowing researchers to drill down NOTE Confidence: 0.84777155 0786deae-79b5-4db0-973a-355d119cbd72 00:23:53.710 --> 00:23:56.850 to the very best data if needed. NOTE Confidence: 0.84777155 d71bec2f-40e8-407c-b8c0-95d4fab5786c 00:23:56.850 --> 00:23:58.885 OK, let's switch gears now NOTE Confidence: 0.84777155 12cc3240-90b7-4209-99f8-f9b75065ce31 00:23:58.885 --> 00:24:00.513 and talk wildland fires. NOTE Confidence: 0.84777155 4333af5d-a332-4fba-a437-738672b34b7d 00:24:00.520 --> 00:24:02.179 If you pay attention to the news NOTE Confidence: 0.84777155 43319c94-1d11-48e9-a97f-d2b829388adb 00:24:02.179 --> 00:24:03.939 or live in a fire prone area, NOTE Confidence: 0.84777155 763e2694-ea5a-4b2e-865f-013be65eaf30 00:24:03.940 --> 00:24:05.638 you know that fires in general, NOTE Confidence: 0.84777155 44dbb7d3-4501-4446-a940-b3c7f654dca9 00:24:05.640 --> 00:24:06.906 and particularly wildfires NOTE Confidence: 0.84777155 d019846c-7ce0-436a-8ff8-4d133f8e246e 00:24:06.906 --> 00:24:09.438 have become a very hot topic. NOTE Confidence: 0.84777155 f5d76ef2-9f71-4616-b616-71b47a8fb4a6 00:24:09.440 --> 00:24:11.404 Wildfires are often mischaracterized NOTE Confidence: 0.84777155 0a144cca-9233-49d2-b7d3-bb1c1c3f9341 00:24:11.404 --> 00:24:12.877 in popular media, NOTE Confidence: 0.84777155 d1d7233c-d700-423b-90da-f2676c1a3282 00:24:12.880 --> 00:24:14.710 and while some fires are NOTE Confidence: 0.84777155 6703a624-bbbc-4489-9294-4567909a76a7 00:24:14.710 --> 00:24:16.174 incredibly destructive and deadly, NOTE Confidence: 0.84777155 a874b5d4-0ee2-4ba0-8b69-bca3e2432284 00:24:16.180 --> 00:24:17.900 fires also a normal, NOTE Confidence: 0.84777155 3422b6e4-638a-4286-b367-dd5d07936f64 00:24:17.900 --> 00:24:20.480 even essential part of many ecosystems. NOTE Confidence: 0.84777155 3a2282a7-7828-46e8-b036-148a393b1dda 00:24:20.480 --> 00:24:22.450 Therefore, understanding what is burned, NOTE Confidence: 0.84777155 87320d18-b165-4550-89dc-f58890248118 00:24:22.450 --> 00:24:23.430 where it is burned, NOTE Confidence: 0.84777155 e0044070-fc06-4d0d-ba14-af2947f0ab97 00:24:23.430 --> 00:24:25.702 and how often it burns is critical to NOTE Confidence: 0.84777155 3d575b4c-acac-43e4-9735-16f7c075abb1 00:24:25.702 --> 00:24:27.567 our understanding of fire processes. NOTE Confidence: 0.84777155 5f8e94ac-91c2-42b6-a922-c69d6930b668 00:24:27.570 --> 00:24:29.166 There are two different kinds of NOTE Confidence: 0.84777155 46ca1c28-c104-4878-a9ba-d965bd5908ab 00:24:29.166 --> 00:24:31.229 wildland fire in a natural landscape. NOTE Confidence: 0.84777155 35b6994f-38a8-4d81-a646-1cc6bb9b705f 00:24:31.230 --> 00:24:33.550 A wildfire is an unintentional, NOTE Confidence: 0.84777155 d4a9eb75-5a60-4ce5-8c7f-baf5e9e94fba 00:24:33.550 --> 00:24:35.120 potentially out of control fire, NOTE Confidence: 0.84777155 1b81b741-f1e8-4254-b1b0-4b936536188d 00:24:35.120 --> 00:24:37.808 started either naturally or by humans, NOTE Confidence: 0.84777155 9b1cf530-9d9e-49f3-84b7-d5d2949ab3b7 00:24:37.810 --> 00:24:39.222 that burns over Woodlands, NOTE Confidence: 0.84777155 106dc661-0488-4bed-bffc-8ddcafad216d 00:24:39.222 --> 00:24:39.928 shrublands grasslands, NOTE Confidence: 0.84777155 0c31fd1e-2468-408f-bbb9-2719fb879e0f 00:24:39.930 --> 00:24:42.910 or other native natural vegetation. NOTE Confidence: 0.84777155 0ab587f1-e6e2-4a6e-8abc-ff0607a268b0 00:24:42.910 --> 00:24:44.995 While these fires make national NOTE Confidence: 0.84777155 d2757d59-988e-46d9-99f0-9fa59f5967f9 00:24:44.995 --> 00:24:47.056 headlines for their numbers, size, NOTE Confidence: 0.84777155 3ab414ff-b544-4b7f-8323-8e82f42bbea9 00:24:47.056 --> 00:24:48.214 and destructive capabilities, NOTE Confidence: 0.84777155 6aadeec9-5469-4838-aa7d-6ae1762c7acb 00:24:48.214 --> 00:24:49.758 particularly when these fires NOTE Confidence: 0.84777155 da561387-c8be-468f-ae96-47a45bcca302 00:24:49.758 --> 00:24:51.530 burn through and destroy houses, NOTE Confidence: 0.84777155 97c8897a-ab05-44d2-9e30-79bea542f29a 00:24:51.530 --> 00:24:53.118 neighborhoods, or even whole towns, NOTE Confidence: 0.84777155 91df0caf-4755-44bc-ade2-5e900dd1b984 00:24:53.118 --> 00:24:55.103 they are again an essential NOTE Confidence: 0.84777155 06a08668-8f78-431a-a6da-efb409933b05 00:24:55.103 --> 00:24:56.709 part of many ecosystems. NOTE Confidence: 0.84777155 68e26029-25ba-4b6a-89db-933cfc56bea6 00:24:56.710 --> 00:24:58.456 A prescriber, on the other hand. NOTE Confidence: 0.84777155 4cb1059f-9b3d-4f16-8ca2-a2c73aa58481 00:24:58.460 --> 00:25:00.370 Is an intentional controlled fire NOTE Confidence: 0.84777155 75061bd2-a70c-4dfd-ab00-c25ab6e8eed3 00:25:00.370 --> 00:25:02.736 started by humans that burns over NOTE Confidence: 0.84777155 a4d05b25-f349-4e09-8f87-5c9e0383e29a 00:25:02.736 --> 00:25:04.686 those same wild vegetation types, NOTE Confidence: 0.84777155 dc693667-6900-45ab-8c41-ac465ffbb196 00:25:04.690 --> 00:25:06.586 but is designed to consume these NOTE Confidence: 0.84777155 49d81ac6-3c6c-4748-abfd-4891d1da405e 00:25:06.586 --> 00:25:08.697 natural fuels when the fire is less NOTE Confidence: 0.84777155 c82b0b69-a1a3-47d3-af0f-e139be437c25 00:25:08.697 --> 00:25:10.780 likely to get out of control and the NOTE Confidence: 0.84777155 9619b4d5-8e6b-4f07-ae9d-9e39d4e2d4ad 00:25:10.780 --> 00:25:12.565 fire is designed to be less severe. NOTE Confidence: 0.84777155 ff2bb423-4387-40e4-948e-fb776a3599ae 00:25:12.570 --> 00:25:14.080 Now wildfires typically burn from NOTE Confidence: 0.84777155 c4d29e1e-122f-4bb1-b0a0-cb452006210a 00:25:14.080 --> 00:25:16.483 summer to early fall or in the dry NOTE Confidence: 0.84777155 259fbe22-6a81-48d5-a207-fecd13cfe14e 00:25:16.483 --> 00:25:17.883 season when the dry vegetation NOTE Confidence: 0.84777155 c128a425-fc81-4fd7-bde3-df0e0cbc9d9a 00:25:17.883 --> 00:25:19.509 and weather creates conditions. NOTE Confidence: 0.84777155 f065b9d5-3670-45ed-81bf-31955a51238b 00:25:19.510 --> 00:25:20.986 Ideal for fire spread. NOTE Confidence: 0.84777155 ad686625-941c-4908-b240-ba376b05353b 00:25:20.986 --> 00:25:22.831 Prescribed burns are often conducted NOTE Confidence: 0.84777155 944599d7-a175-4199-826e-8d5195ba4bb3 00:25:22.831 --> 00:25:24.691 in the fall, winter, or spring, NOTE Confidence: 0.84777155 09a03b6e-4415-4693-a141-e5b96ee235bd 00:25:24.691 --> 00:25:26.176 or when conditions are wetter. NOTE Confidence: 0.84777155 4c7ad0e4-ee7a-4f51-8cef-07f5703dd36c 00:25:26.180 --> 00:25:27.968 The fire is less intense and NOTE Confidence: 0.84777155 ec4b860f-e7bc-4fa8-91cf-5da2d495895b 00:25:27.968 --> 00:25:29.160 cannot be spread easily. NOTE Confidence: 0.84777155 0ecd223c-01f9-4713-bc0f-20c81ac9eef4 00:25:29.160 --> 00:25:29.792 Prescribed fires, NOTE Confidence: 0.84777155 395c8c56-306f-401c-bc14-36431a1e6015 00:25:29.792 --> 00:25:30.740 if you remember, NOTE Confidence: 0.84777155 cad5daee-9c79-4fce-a7d2-0b7ebc3920e0 00:25:30.740 --> 00:25:32.371 are actually a type of land treatment NOTE Confidence: 0.84777155 4bd1dae5-2dfd-4a68-bd2c-bec6de0fcd44 00:25:32.371 --> 00:25:34.057 that we also capture in the LTDL. NOTE Confidence: 0.788596178333333 83bc4a44-e49c-49f5-a322-7a6250987f36 00:25:38.220 --> 00:25:40.038 Given the national interest in fires, NOTE Confidence: 0.788596178333333 45ac684e-b764-4b6e-b2b8-85d226ab8a46 00:25:40.040 --> 00:25:41.700 particularly wildfires, there's an NOTE Confidence: 0.788596178333333 fbdc222b-12e1-4197-9c63-a5b72a6d2567 00:25:41.700 --> 00:25:43.775 intense interest in studying fires, NOTE Confidence: 0.788596178333333 463a3a1c-299a-4a9a-b59a-487694ce2277 00:25:43.780 --> 00:25:44.884 determining fire trends, NOTE Confidence: 0.788596178333333 06500f0e-0727-49c5-b944-62338a542a43 00:25:44.884 --> 00:25:46.724 and determining what errors are NOTE Confidence: 0.788596178333333 d9c16161-797f-469f-b73e-efc88e4dee41 00:25:46.724 --> 00:25:49.019 most at risk for severe wildfires. NOTE Confidence: 0.788596178333333 cc71377d-ab99-46dc-abe2-dca5884630b6 00:25:49.020 --> 00:25:50.144 Because of this interest, NOTE Confidence: 0.788596178333333 5a144316-f45e-472d-9071-97e7b907ff5d 00:25:50.144 --> 00:25:52.130 it makes sense that there are a NOTE Confidence: 0.788596178333333 cafe88a5-e5fa-491f-9220-fccd825b9697 00:25:52.130 --> 00:25:53.576 lot of fire datasets out there. NOTE Confidence: 0.788596178333333 48e7ffd2-fb24-441d-b5f4-8676e20ed435 00:25:53.580 --> 00:25:54.860 In fact, last I checked, NOTE Confidence: 0.788596178333333 568ac329-c7c1-4f3a-bb47-890c25d69923 00:25:54.860 --> 00:25:57.260 there are over 50 different ones. NOTE Confidence: 0.788596178333333 b5a5d6cd-0443-4b41-bb2e-b0cd96f6c7b7 00:25:57.260 --> 00:25:59.304 The sheer number of data sets out NOTE Confidence: 0.788596178333333 ff2fed9f-8ea5-4232-b36d-0263c1b3cd28 00:25:59.304 --> 00:26:01.368 there presents its own set of problems. NOTE Confidence: 0.788596178333333 e7609e1a-eb91-4cb6-9607-2770729fe2e3 00:26:01.370 --> 00:26:03.180 These datasets can cover different NOTE Confidence: 0.788596178333333 bdd84137-4dc4-43ed-b0a0-53a4e6512f89 00:26:03.180 --> 00:26:05.373 areas and time periods include one NOTE Confidence: 0.788596178333333 b556c3e6-f140-4fac-9a2b-64f304d5ce5e 00:26:05.373 --> 00:26:07.311 or both types of wildland fire NOTE Confidence: 0.788596178333333 d02b27cd-ba1d-424c-98c9-af37721c4a78 00:26:07.311 --> 00:26:08.646 have multiple different Polygon NOTE Confidence: 0.788596178333333 3d56e217-b85d-4941-91df-3ef29fbc5e5d 00:26:08.646 --> 00:26:10.176 shapes for the same fire, NOTE Confidence: 0.788596178333333 34d9818d-1679-4f02-89c1-475f63368a25 00:26:10.180 --> 00:26:11.855 have lots or very little NOTE Confidence: 0.788596178333333 871b0e4a-44e8-49d4-b534-312270f9a569 00:26:11.855 --> 00:26:13.195 information about each fire, NOTE Confidence: 0.788596178333333 88a45c5f-11f5-47c9-8e4f-a6971a726530 00:26:13.200 --> 00:26:15.489 and finally the fire location may be NOTE Confidence: 0.788596178333333 b2dc47bf-766f-4733-8ddf-11bedb669176 00:26:15.489 --> 00:26:17.567 represented by a centroid point or NOTE Confidence: 0.788596178333333 6c7c5f96-3165-4ff3-8dd5-ff64ddc5f6a8 00:26:17.567 --> 00:26:19.637 contain the actual Polygon of the NOTE Confidence: 0.788596178333333 007361f3-1bee-4f5f-a447-69641a57e8dc 00:26:19.637 --> 00:26:21.665 area burned without carefully looking NOTE Confidence: 0.788596178333333 7df28da6-d92c-43a3-89c1-674ba8839a1a 00:26:21.665 --> 00:26:23.740 into all that important context, NOTE Confidence: 0.788596178333333 2dca5108-1750-48a3-bfdf-0a441ad5855f 00:26:23.740 --> 00:26:25.672 you could easily use the wrong data NOTE Confidence: 0.788596178333333 6511dac9-d39e-454e-81e2-6fc6f301b174 00:26:25.672 --> 00:26:27.998 set and come to incorrect conclusions, NOTE Confidence: 0.788596178333333 659bce33-d8d2-4840-a97d-79c773eeaef7 00:26:28.000 --> 00:26:29.540 or you could use the data set NOTE Confidence: 0.788596178333333 cbe2ed8e-680f-4efc-8117-1f37fc9e2114 00:26:29.540 --> 00:26:30.904 correctly but come to different NOTE Confidence: 0.788596178333333 0ccac5f5-55e9-4e15-9b3b-96b815bf4b0c 00:26:30.904 --> 00:26:32.216 conclusions than someone else. NOTE Confidence: 0.788596178333333 de665203-6f20-4a8e-9b81-8c3d0f73cbdb 00:26:32.220 --> 00:26:35.430 Use the different data set correctly. NOTE Confidence: 0.788596178333333 aa807863-ea51-45a6-83a4-6e01f3c822d2 00:26:35.430 --> 00:26:37.266 So why did we create one? NOTE Confidence: 0.788596178333333 d66b88ae-2012-4092-b559-da74474446c6 00:26:37.270 --> 00:26:39.670 And what do we do differently? NOTE Confidence: 0.788596178333333 516dbb0d-805e-4452-9a50-37230f4a5f0e 00:26:39.670 --> 00:26:40.234 Well, NOTE Confidence: 0.788596178333333 f87b1b1b-37a9-4d10-9cd3-d8fe2b517aee 00:26:40.234 --> 00:26:43.618 we created one because all these NOTE Confidence: 0.788596178333333 5eb4695e-60d5-4e22-b56f-61fe89f05408 00:26:43.618 --> 00:26:46.814 inconsistencies drove us to a need for NOTE Confidence: 0.788596178333333 a9c4a5ab-34be-4ff7-8c23-7c12cf3059b4 00:26:46.814 --> 00:26:49.070 a consistent single wildfire data set. NOTE Confidence: 0.788596178333333 059f5c2c-efe2-4b49-9660-51fcc5d40d70 00:26:49.070 --> 00:26:49.608 So first, NOTE Confidence: 0.788596178333333 69ae53bf-2e1f-4b7b-b3f1-66608c097197 00:26:49.608 --> 00:26:51.222 we're working with a team of NOTE Confidence: 0.788596178333333 2ade69ec-e7c5-49d6-b027-8f2f3b28c29e 00:26:51.222 --> 00:26:52.922 fire experts from a range of NOTE Confidence: 0.788596178333333 655dbe38-73a8-45cb-9125-7e1eef359d4a 00:26:52.922 --> 00:26:54.030 agencies and other groups. NOTE Confidence: 0.788596178333333 7d308ca8-f418-4123-871b-cac5d3b6214d 00:26:54.030 --> 00:26:56.354 This is helping us really dive into NOTE Confidence: 0.788596178333333 ff41dfe2-2916-4b71-ba17-813466bbf566 00:26:56.354 --> 00:26:58.668 that context that keep coming back to. NOTE Confidence: 0.788596178333333 beeac42b-1046-464f-9993-1ff8d8636519 00:26:58.670 --> 00:27:00.380 So we have a better understanding NOTE Confidence: 0.788596178333333 e2784f76-b315-490e-a31b-75c197d90f78 00:27:00.380 --> 00:27:02.181 of the context behind the different NOTE Confidence: 0.788596178333333 1465df95-1b92-4d27-bc55-7f87e35cea15 00:27:02.181 --> 00:27:04.005 fire datasets that are out there. NOTE Confidence: 0.788596178333333 b404f882-8cdc-4f6a-9b5b-342700dc56ba 00:27:04.010 --> 00:27:05.326 Michelle Jeffries and I, NOTE Confidence: 0.788596178333333 3b7cc19d-8316-4ed5-81d5-a2648c30b8fe 00:27:05.326 --> 00:27:06.971 who create the combined wildland NOTE Confidence: 0.788596178333333 08df061d-5d7f-4372-bbf6-8b5c75700bb7 00:27:06.971 --> 00:27:08.946 fire data set are not fire experts. NOTE Confidence: 0.788596178333333 944432d2-3920-4b4b-a9db-f325aea2f189 00:27:08.950 --> 00:27:10.022 By working with this. NOTE Confidence: 0.788596178333333 1024e927-3a9f-47a3-8234-f0377eb56d6e 00:27:10.022 --> 00:27:11.944 First group, we know what's important, NOTE Confidence: 0.788596178333333 ea572522-5e56-4cfe-b07b-d7b04d89eefe 00:27:11.944 --> 00:27:14.020 what data is more questionable and NOTE Confidence: 0.788596178333333 dc1e4bcb-7414-4620-a185-71fab60636cf 00:27:14.079 --> 00:27:15.834 can better address fire questions NOTE Confidence: 0.788596178333333 158854b7-e4b6-4455-903a-8ae5d9e53ab5 00:27:15.834 --> 00:27:17.917 or point individuals to the right NOTE Confidence: 0.788596178333333 29334f8b-25c6-487c-adc3-ab4235f06cba 00:27:17.917 --> 00:27:20.013 people or data set when we need to. NOTE Confidence: 0.788596178333333 27a3003f-c980-4fca-980c-6a25d0d3809b 00:27:20.020 --> 00:27:20.386 Next, NOTE Confidence: 0.788596178333333 58a53be8-729b-4f8a-954b-c8e3aa26b7bd 00:27:20.386 --> 00:27:22.582 we have scoured the Internet looking NOTE Confidence: 0.788596178333333 a7d28a5f-f61b-48a5-8cf4-0713a9cc6095 00:27:22.582 --> 00:27:24.696 for publicly available data sets to NOTE Confidence: 0.788596178333333 1e1ffbcb-0908-4d3e-864f-df48e104f579 00:27:24.696 --> 00:27:26.296 provide a more comprehensive picture NOTE Confidence: 0.788596178333333 3816e391-4dfb-4b11-b253-589abf3e7efd 00:27:26.296 --> 00:27:28.240 of fire than exists elsewhere, NOTE Confidence: 0.788596178333333 0be962cd-0871-4e2f-b750-6568819ef93b 00:27:28.240 --> 00:27:30.305 and we continue to look for and NOTE Confidence: 0.788596178333333 79103cc4-6ae3-4add-b1fa-54749c2c20c5 00:27:30.305 --> 00:27:31.956 add additional datasets with each NOTE Confidence: 0.788596178333333 ea0395c2-3a5a-4311-81a5-c26979cc1ccf 00:27:31.956 --> 00:27:33.018 year's updated release. NOTE Confidence: 0.788596178333333 30a99d1a-6dcc-4611-aeed-cd4b0c2d6547 00:27:33.020 --> 00:27:34.620 We take all these datasets, NOTE Confidence: 0.788596178333333 9c91f7e2-8892-430c-b15b-fb5f779efc2f 00:27:34.620 --> 00:27:36.280 run them through an extensive NOTE Confidence: 0.788596178333333 8a1d440e-a19a-4d3c-8dac-41292f6a6c25 00:27:36.280 --> 00:27:37.276 quality control process, NOTE Confidence: 0.788596178333333 6e22a20d-07e6-427b-9dd0-b6e74257e5e2 00:27:37.280 --> 00:27:41.696 and merge them into the combined data set. NOTE Confidence: 0.788596178333333 f7ef274f-d50d-45ec-b644-9d441f1ffc17 00:27:41.700 --> 00:27:43.290 Now three of our data sets NOTE Confidence: 0.788596178333333 0c86e974-027a-4592-bb09-f350e2ab9c24 00:27:43.290 --> 00:27:44.910 didn't merge with the wet rest. NOTE Confidence: 0.788596178333333 b98f4253-8c13-4add-a93b-88a7914cdd4d 00:27:44.910 --> 00:27:46.238 That's because these polygons NOTE Confidence: 0.788596178333333 6f8b9267-affe-4801-8417-7551f0ec9794 00:27:46.238 --> 00:27:47.898 didn't exist on the Internet, NOTE Confidence: 0.788596178333333 75dc62d9-d562-4afa-a7f8-83e98fb12782 00:27:47.900 --> 00:27:50.259 at least in a digital map form. NOTE Confidence: 0.788596178333333 7260c4bf-bea3-40f3-8d6d-1b208f9fb4c0 00:27:50.260 --> 00:27:52.330 Fire data before the use of NOTE Confidence: 0.788596178333333 8ca7ae30-f91d-4496-bc6a-20ca8bce4dc2 00:27:52.330 --> 00:27:54.029 satellite imagery to detect fires NOTE Confidence: 0.788596178333333 319dbe28-461b-48b7-882b-8ec3037baa06 00:27:54.029 --> 00:27:55.636 in 1984 is notoriously incomplete. NOTE Confidence: 0.788596178333333 672e51a2-3a38-469d-8b16-79479494593d 00:27:55.636 --> 00:27:58.379 We took the paper maps of these fires NOTE Confidence: 0.788596178333333 13142e60-b1e4-4707-a9d1-a77b23196bc9 00:27:58.379 --> 00:28:00.626 and sketched the polygons out on a NOTE Confidence: 0.788596178333333 185fbb72-8949-4f7b-b44e-54338fbd5812 00:28:00.626 --> 00:28:03.217 digital map to produce these fire boundaries. NOTE Confidence: 0.788596178333333 c7ea1e16-8906-44c2-8a07-bac858397cc8 00:28:03.220 --> 00:28:04.396 As far as we are aware, NOTE Confidence: 0.788596178333333 34fefef3-15da-4e09-98e8-f80be94308eb 00:28:04.400 --> 00:28:06.577 we have the only digital spatial Polygon. NOTE Confidence: 0.788596178333333 8eaa55ed-9f1e-43f1-8500-e83e5f73ca0c 00:28:06.580 --> 00:28:08.458 Copies of these fires and some NOTE Confidence: 0.788596178333333 c966c2f2-9b4e-4d4e-a815-00c42869933b 00:28:08.458 --> 00:28:10.231 of these fires are considered NOTE Confidence: 0.788596178333333 e7b725b1-ad14-4a65-8f67-266891057e81 00:28:10.231 --> 00:28:12.516 large even by today's standards. NOTE Confidence: 0.788596178333333 69b170ea-73d0-4c50-9d1f-95338fbeaed8 00:28:12.520 --> 00:28:13.321 For anyone interested, NOTE Confidence: 0.788596178333333 7710c6ee-5860-44f5-a39f-745ace74fe10 00:28:13.321 --> 00:28:15.190 I encourage you to look up the NOTE Confidence: 0.788596178333333 7594390e-1347-49ae-9821-ed37ab5f70a0 00:28:15.250 --> 00:28:16.210 great fire of 1910. NOTE Confidence: 0.788596178333333 eb6e7ae2-dffa-4bc4-af22-4ca13103e98e 00:28:16.210 --> 00:28:16.920 In Idaho, NOTE Confidence: 0.788596178333333 cb529938-cc52-4987-b7d7-932795017ada 00:28:16.920 --> 00:28:17.630 Montana, Oregon, NOTE Confidence: 0.788596178333333 83348735-1420-4a01-bf1f-621d33a6696c 00:28:17.630 --> 00:28:19.760 I believe the URL is being NOTE Confidence: 0.788596178333333 0e1425e8-4f20-4f07-bd7c-12ab596c5705 00:28:19.834 --> 00:28:21.778 posted in the chat right now. NOTE Confidence: 0.788596178333333 4004a418-af05-45a1-b434-8d27b13f899d 00:28:21.780 --> 00:28:23.612 This thing was monstrous, NOTE Confidence: 0.788596178333333 149618fc-3d54-4da1-a471-7cd068c24dc9 00:28:23.612 --> 00:28:25.978 burning more than 3,000,000 acres, NOTE Confidence: 0.788596178333333 b21d5d92-93c3-4bc4-b885-e0d58045a7a5 00:28:25.978 --> 00:28:27.460 destructive and deadly, NOTE Confidence: 0.788596178333333 73625f11-1b97-4d4a-ae73-0738ce6b8df4 00:28:27.460 --> 00:28:28.920 creating its own weather NOTE Confidence: 0.788596178333333 0de39d01-4ecc-42d0-9bc3-c0495b0ac072 00:28:28.920 --> 00:28:30.380 with hurricane force winds, NOTE Confidence: 0.840386248235294 3b2a34b7-4aa1-4a49-bc5b-f8d9afca03a5 00:28:30.380 --> 00:28:32.246 flames flying hundreds of feet into NOTE Confidence: 0.840386248235294 ec2cb10e-a6ce-4714-891e-ee50835dfb53 00:28:32.246 --> 00:28:34.239 the air and producing fire tornadoes NOTE Confidence: 0.840386248235294 46d3e3f7-a188-49f7-982c-05f06afa4be8 00:28:34.239 --> 00:28:35.954 that sucked up burning trees, NOTE Confidence: 0.840386248235294 d1cb4b33-12af-45bb-8a2d-589203284d1a 00:28:35.960 --> 00:28:38.304 roots and all flaming them far from the NOTE Confidence: 0.840386248235294 3e21e095-94a0-4917-ad41-4460df30605f 00:28:38.304 --> 00:28:40.220 original fire and sparking new fires, NOTE Confidence: 0.840386248235294 74a60239-49f8-4cdd-a5c9-c5df8a73dfc4 00:28:40.220 --> 00:28:41.935 it must have been an NOTE Confidence: 0.840386248235294 ec4a5667-3da8-4933-a478-a356bd402487 00:28:41.935 --> 00:28:42.964 absolutely terrifying ordeal, NOTE Confidence: 0.840386248235294 868e305c-6030-449d-aa0c-55d3ba8fbdc4 00:28:42.970 --> 00:28:44.980 with one person who survived referring NOTE Confidence: 0.840386248235294 7085428a-e03b-423b-9b91-2e553a5ac55f 00:28:44.980 --> 00:28:47.759 to it as a red demon from hell. NOTE Confidence: 0.840386248235294 456093f2-035d-472f-836d-9a38c71482aa 00:28:47.760 --> 00:28:49.902 Yeah, currently we are working to expand NOTE Confidence: 0.840386248235294 199e3a65-23f7-468f-b615-92afffa7ea9f 00:28:49.902 --> 00:28:51.583 this digitization of old paper fire NOTE Confidence: 0.840386248235294 048d7df6-2746-4e16-816a-54c535bbea92 00:28:51.583 --> 00:28:53.868 data maps to try to capture more of the NOTE Confidence: 0.840386248235294 7c1254ca-a255-42c2-8240-2d4a1330b4f7 00:28:53.868 --> 00:28:55.905 fire history of this country and have NOTE Confidence: 0.840386248235294 63d54e20-5d2c-4757-8d1d-8dcbd69dd4c4 00:28:55.905 --> 00:28:58.099 undergraduate GS Student volunteers NOTE Confidence: 0.840386248235294 b0eb984c-2f00-4ce7-b0dc-dab9be3170df 00:28:58.099 --> 00:29:01.897 working to digitize many more boundaries. NOTE Confidence: 0.840386248235294 370ca3cd-3afe-4ba3-b4a2-452d40017914 00:29:01.900 --> 00:29:02.790 Now, I'm not gonna go NOTE Confidence: 0.840386248235294 f9afa8cc-2872-4870-ad8e-51b09a835361 00:29:02.790 --> 00:29:03.680 into tons of detail here, NOTE Confidence: 0.840386248235294 5ee9a884-b79a-4e73-b366-0d69a9ee59ef 00:29:03.680 --> 00:29:05.390 but essentially we worked hard to NOTE Confidence: 0.840386248235294 d5467fad-4d53-453c-833b-11e84dc87d76 00:29:05.390 --> 00:29:07.575 eliminate many of the errors present in NOTE Confidence: 0.840386248235294 1e7faa2a-ec92-4d64-be9b-7436e7259490 00:29:07.575 --> 00:29:09.302 other datasets and provide additional NOTE Confidence: 0.840386248235294 8cc3ea6d-c4cc-4e87-9c79-96600edda933 00:29:09.302 --> 00:29:11.426 quality controls and context to create NOTE Confidence: 0.840386248235294 40044aff-0ab3-480d-8536-722db33f97e5 00:29:11.426 --> 00:29:13.836 a comprehensive wildland fire data set NOTE Confidence: 0.840386248235294 964966b0-b4a5-4eec-9b3c-a9c110b31c84 00:29:13.836 --> 00:29:15.831 that includes fire perimeters from NOTE Confidence: 0.840386248235294 f2a6d802-700f-4103-a71b-495d454bfb6f 00:29:15.892 --> 00:29:17.980 the late 1800s where they're available NOTE Confidence: 0.840386248235294 5f07eb9b-fee7-43b3-a624-472945d5fb3b 00:29:17.980 --> 00:29:19.882 through 2020 with plans to update NOTE Confidence: 0.840386248235294 a49679b7-e420-4e73-908d-361c040e93ac 00:29:19.882 --> 00:29:21.890 and add to the data set every year. NOTE Confidence: 0.840386248235294 727a77cb-f409-4053-a7fe-dec405e33450 00:29:21.890 --> 00:29:24.306 The fire data set like the LTDL has NOTE Confidence: 0.840386248235294 43f14361-2ff4-4219-9803-eca49dec81ec 00:29:24.306 --> 00:29:26.040 quality control fields that allow NOTE Confidence: 0.840386248235294 136c35f2-1b4a-4427-b654-a7a4e4c553ad 00:29:26.040 --> 00:29:28.170 users to filter out more questionable NOTE Confidence: 0.840386248235294 6653a78a-365c-4eaf-a68d-f8efa94aab18 00:29:28.170 --> 00:29:29.910 data and provides an analysis NOTE Confidence: 0.840386248235294 e9d4c2fc-dc39-460b-b8f4-27a9f95d5034 00:29:29.910 --> 00:29:31.555 ready data set for users. NOTE Confidence: 0.840386248235294 7e0ab90e-ca5e-4a7e-bad6-0bad44140eb7 00:29:31.560 --> 00:29:33.198 The need for this type of data set was. NOTE Confidence: 0.840386248235294 1627a99d-cc6f-49b0-add1-fdd10a3f50d1 00:29:33.200 --> 00:29:35.108 demonstrated  in 2020 when even with NOTE Confidence: 0.840386248235294 6187c6b6-7c08-4226-b80c-bc2fd2e42391 00:29:35.108 --> 00:29:37.309 all the other data sets out there, NOTE Confidence: 0.840386248235294 0a8c21d5-145a-47ef-8a5c-c364e299fa53 00:29:37.310 --> 00:29:39.557 the 2019 release of this data set NOTE Confidence: 0.840386248235294 fea16cd2-ed22-4cd6-bb44-d96d0c8f16fa 00:29:39.557 --> 00:29:41.249 was downloaded over 8000 times. NOTE Confidence: 0.840386248235294 962eddbc-3a38-43d7-b6df-0da71d5a223a 00:29:41.250 --> 00:29:42.970 In its first year. NOTE Confidence: 0.840386248235294 98580a22-8e3c-44e5-be76-4d8136279d06 00:29:42.970 --> 00:29:45.667 Our latest release has nearly 100,000 NOTE Confidence: 0.840386248235294 08e41723-ba55-48d4-ada8-9aada1ed92d3 00:29:45.667 --> 00:29:48.949 wildfires and over 36,000 prescribed fires, NOTE Confidence: 0.840386248235294 bbe9bc44-0feb-4b5c-b4ed-ba6d0f9973f6 00:29:48.950 --> 00:29:50.830 and even on a scale of this grand, NOTE Confidence: 0.840386248235294 cbc48aef-cdc7-4d83-a101-39fce971744c 00:29:50.830 --> 00:29:52.648 you can start to see patterns. NOTE Confidence: 0.840386248235294 f0bc0162-68a7-4f75-87d8-b5462a285420 00:29:52.650 --> 00:29:54.708 Most of the wildfires occur in the NOTE Confidence: 0.840386248235294 b78a540d-6e44-4c47-a35d-25aa03f00398 00:29:54.708 --> 00:29:56.229 contiguous western US and Alaska, NOTE Confidence: 0.840386248235294 31f21808-a3b0-4648-adc6-fbef2b4932af 00:29:56.230 --> 00:29:58.778 while a lot of the prescribed fires NOTE Confidence: 0.840386248235294 8000aab8-e9e1-4949-b104-922a3bc99b45 00:29:58.778 --> 00:30:01.550 occur in the Southeast and Kansas. NOTE Confidence: 0.840386248235294 25d6e145-f9de-42b1-a078-046421aacd01 00:30:01.550 --> 00:30:03.766 Let's zoom in to the West and show NOTE Confidence: 0.840386248235294 d3e573d7-4b8e-492b-ae0e-76a43f5772ae 00:30:03.766 --> 00:30:05.507 only wildfires and color code them. NOTE Confidence: 0.840386248235294 0fcf2dae-aa83-4ebf-98e4-322c2847110b 00:30:05.510 --> 00:30:07.862 So the earliest fires through the 1960s NOTE Confidence: 0.840386248235294 eace4144-cd15-4703-a903-ee13362addb5 00:30:07.862 --> 00:30:10.431 are in purples and Blues fires from the NOTE Confidence: 0.840386248235294 5887aaad-ddb4-4596-9730-5a515226c0c1 00:30:10.431 --> 00:30:12.811 60s through the 90s are in teal and NOTE Confidence: 0.840386248235294 7e8a01c3-91d5-421f-8241-2d5b0afb7faa 00:30:12.811 --> 00:30:15.158 yellow and fired from the 90s to present. NOTE Confidence: 0.840386248235294 f3e57737-2e47-4676-adbb-571dfe2bd49c 00:30:15.158 --> 00:30:16.870 Our oranges and Reds. NOTE Confidence: 0.840386248235294 af29ada8-c826-4df0-b319-14d133a03ba2 00:30:16.870 --> 00:30:18.268 Just by looking at the data, NOTE Confidence: 0.840386248235294 db61d391-745c-4e3b-9ac5-96c0ba672eab 00:30:18.270 --> 00:30:20.335 we can begin to see patterns in NOTE Confidence: 0.840386248235294 19f72c05-e2f7-4f21-91f6-bf53402b830d 00:30:20.335 --> 00:30:22.607 terms of what areas burn the most. NOTE Confidence: 0.840386248235294 60ecdc44-ea1d-4e3c-9079-ba6f4e99a2dd 00:30:22.610 --> 00:30:24.115 You can also see where fires have NOTE Confidence: 0.840386248235294 229b5e88-972a-4c4a-ac7a-7dc6de8f2138 00:30:24.115 --> 00:30:25.935 burned in the past with little recent NOTE Confidence: 0.840386248235294 becbb603-eec4-44f4-9a44-ac650f210b70 00:30:25.935 --> 00:30:27.335 fire activity like Northern Idaho NOTE Confidence: 0.840386248235294 1c0c96c1-24e4-4061-963b-e5651e6ae1ca 00:30:27.335 --> 00:30:29.420 and Northwest Montana, for example, NOTE Confidence: 0.840386248235294 4e62c2fc-949f-4c23-a25a-5ca89f77fe65 00:30:29.420 --> 00:30:32.210 while just the final data set NOTE Confidence: 0.840386248235294 34b51666-2969-40df-960e-617c97f94b7b 00:30:32.210 --> 00:30:34.150 provides valuable information, NOTE Confidence: 0.840386248235294 7fc3b06b-9647-4e5f-bd28-99113a3968f5 00:30:34.150 --> 00:30:36.215 Michelle and I didn't want to just NOTE Confidence: 0.840386248235294 808ffc24-6fe4-4ee7-892d-04dbae9860b7 00:30:36.215 --> 00:30:37.890 provide users with the data set. NOTE Confidence: 0.840386248235294 3f11366c-aaa4-47ab-9cf2-9a0bad953453 00:30:37.890 --> 00:30:40.128 Fire is an extremely complex issue, NOTE Confidence: 0.840386248235294 a7cd9f50-8aec-483a-ad98-c3572e2517a9 00:30:40.130 --> 00:30:41.950 as multiple fires can burn NOTE Confidence: 0.840386248235294 8550d1af-1c53-4a31-9ffa-aa8399386626 00:30:41.950 --> 00:30:43.770 irregularly over the same area. NOTE Confidence: 0.840386248235294 e735d399-54c1-4c3d-bc05-08996f243192 00:30:43.770 --> 00:30:45.660 We wanted to provide additional information NOTE Confidence: 0.840386248235294 ec96941c-1c1e-4041-808b-ba478ef3b1b8 00:30:45.660 --> 00:30:47.910 to help users better explore their data, NOTE Confidence: 0.840386248235294 c952ee49-3855-4125-9e20-644e91ace866 00:30:47.910 --> 00:30:49.734 and so I'm going to zoom NOTE Confidence: 0.840386248235294 de5bb75c-a3a4-4c01-a786-681489bcca99 00:30:49.734 --> 00:30:50.950 into southwest Idaho here. NOTE Confidence: 0.840386248235294 fdc6f8aa-72c9-43f7-8d84-63678f5a9d28 00:30:50.950 --> 00:30:52.756 This is an area with many fires. NOTE Confidence: 0.840386248235294 69af8958-0dc6-497b-ab47-dcac696a4438 00:30:52.760 --> 00:30:55.478 Multiple repeat burns. NOTE Confidence: 0.840386248235294 bd21637e-5d64-4838-a06a-b60c1c514119 00:30:55.480 --> 00:30:57.420 So we provide additional contextual NOTE Confidence: 0.840386248235294 68ccc3e3-1b87-46ce-9eb2-2dd02ed406f5 00:30:57.420 --> 00:30:59.728 information that includes Excel data on NOTE Confidence: 0.840386248235294 8ad25eff-9496-4f96-b36a-1949e3dd10c5 00:30:59.728 --> 00:31:01.898 errors and inconsistencies in the data set, NOTE Confidence: 0.840386248235294 6e0fd1ad-da28-4c3c-a6b1-be1da9966d89 00:31:01.900 --> 00:31:03.814 as well as summary visual data NOTE Confidence: 0.840386248235294 8b7e18f8-65fb-440e-9530-399629b326fe 00:31:03.814 --> 00:31:05.440 that displays things like this. NOTE Confidence: 0.840386248235294 35e29582-8b75-4516-a97b-dc1b9775453a 00:31:05.440 --> 00:31:09.496 The Count of wildfires you can see here. NOTE Confidence: 0.840386248235294 452a5501-4db5-434e-b1f1-b143fb8c963b 00:31:09.500 --> 00:31:10.968 And in southwest Idaho, NOTE Confidence: 0.840386248235294 c7a560ea-ee19-4a18-91ff-2f46d10810c8 00:31:10.968 --> 00:31:13.170 multiple areas have three or more NOTE Confidence: 0.840386248235294 80d1535f-bd4e-403a-830c-69683b4ce80b 00:31:13.244 --> 00:31:15.179 fires impacting the same area, NOTE Confidence: 0.840386248235294 bab8e759-9239-4a6f-a048-116faa97449b 00:31:15.180 --> 00:31:16.608 represented by light green, NOTE Confidence: 0.840386248235294 97c6f25a-7dfb-48c9-8f72-05e4fbc30320 00:31:16.608 --> 00:31:18.393 orange and dark red colors. NOTE Confidence: 0.785297332941177 e62fd50b-47a9-40af-973e-f49ba5e78b5f 00:31:18.400 --> 00:31:20.314 This is a tremendous amount of NOTE Confidence: 0.785297332941177 1636d7a4-3199-4c4c-aa9c-d2fb90463045 00:31:20.314 --> 00:31:21.995 fire that's not easily visible NOTE Confidence: 0.785297332941177 2ed9a8ea-512c-40a2-9999-641f5c8c74dd 00:31:21.995 --> 00:31:24.059 using just the Polygon data set, NOTE Confidence: 0.785297332941177 83b6bb30-b9da-4912-be7b-9045e6d17bc3 00:31:24.060 --> 00:31:26.796 and it can have extremely detrimental NOTE Confidence: 0.785297332941177 6f46b6df-d622-43a8-a64d-4405a0b6a933 00:31:26.796 --> 00:31:29.850 effects on the landscapes where they burn. NOTE Confidence: 0.785297332941177 c03c2a83-1e29-48f1-8466-abd8d28cbe04 00:31:29.850 --> 00:31:32.026 So we've got two complex long term datasets NOTE Confidence: 0.785297332941177 ceb10a51-60cc-4066-8c18-b26130bccf26 00:31:32.026 --> 00:31:34.149 that can be used for science research, NOTE Confidence: 0.785297332941177 8d77f216-0903-4270-8abb-a7415f246fb1 00:31:34.150 --> 00:31:36.050 resource management and general information. NOTE Confidence: 0.785297332941177 81d60652-1ef6-45ce-93b4-1d34cb8b04fa 00:31:36.050 --> 00:31:36.842 For those interested, NOTE Confidence: 0.785297332941177 a86172aa-a8ee-4859-9339-c193ab109ab0 00:31:36.842 --> 00:31:39.030 the next step is to get them out NOTE Confidence: 0.785297332941177 9c13d83f-2ab0-40a6-923b-5c830fe04a66 00:31:39.030 --> 00:31:40.704 to the individuals who need them. NOTE Confidence: 0.785297332941177 b84c0718-1903-4289-8f1c-210be56d463b 00:31:40.710 --> 00:31:42.360 We release both of these datasets NOTE Confidence: 0.785297332941177 d3ce6d50-db12-4259-aa47-b2aa050169c7 00:31:42.360 --> 00:31:44.266 to the general public so that anyone NOTE Confidence: 0.785297332941177 06ab8ca1-d6e4-403d-89c5-362c099f8893 00:31:44.266 --> 00:31:45.766 can download and look at them. NOTE Confidence: 0.785297332941177 ecd41d0d-d7e7-4db9-ae67-02682a0b42b1 00:31:45.770 --> 00:31:47.504 These datasets come with full metadata NOTE Confidence: 0.785297332941177 d3324e65-c81f-4db2-93f6-24f3a779cde0 00:31:47.504 --> 00:31:50.140 or data about the data so that we can NOTE Confidence: 0.785297332941177 386cc11f-c5f1-4a5d-8c8a-006f8a814298 00:31:50.140 --> 00:31:51.965 provide that additional context and give NOTE Confidence: 0.785297332941177 77fa35c7-c113-4f99-a721-b455d65fd616 00:31:51.965 --> 00:31:54.047 users more information about the datasets. NOTE Confidence: 0.785297332941177 c1f581db-f4b7-475a-8aa1-538cf4635419 00:31:54.050 --> 00:31:54.974 For anyone interested, NOTE Confidence: 0.785297332941177 1cb85ed5-1eda-4226-9a66-5746e54cccb2 00:31:54.974 --> 00:31:57.721 these links will be posted in the chat and NOTE Confidence: 0.785297332941177 6ec5c30e-9597-4386-b930-65c154a00d87 00:31:57.721 --> 00:31:59.833 available again at the end of the talk. NOTE Confidence: 0.785297332941177 6edd2993-bd20-4f1a-b5e2-2131c50fd5c0 00:31:59.840 --> 00:32:00.428 In addition, NOTE Confidence: 0.785297332941177 609e0dd1-311c-4297-86b0-e99aef138d0a 00:32:00.428 --> 00:32:02.486 the LTL has a website that users NOTE Confidence: 0.785297332941177 754bd64a-0e9c-4837-af28-307443abf209 00:32:02.486 --> 00:32:05.024 can access and again for the LTDL we NOTE Confidence: 0.785297332941177 b4d30ab9-1684-45b4-b897-dce0899c34de 00:32:05.024 --> 00:32:06.752 actually respond to specific custom NOTE Confidence: 0.785297332941177 a1f19b0a-a653-4c65-be7d-6588c06c7f0c 00:32:06.752 --> 00:32:08.948 data requests for improved use cases NOTE Confidence: 0.785297332941177 2b59520d-5dd3-4dd2-a0e6-10674b4f0910 00:32:08.948 --> 00:32:10.844 where we provide the user exactly NOTE Confidence: 0.785297332941177 aa3778f7-bd5e-434c-9fd1-fb7e1057011b 00:32:10.844 --> 00:32:12.954 what they are looking for and work NOTE Confidence: 0.785297332941177 44de9ecc-cf35-4e97-abb4-fed18460cdd2 00:32:12.954 --> 00:32:14.796 with them to provide that additional NOTE Confidence: 0.785297332941177 992c1dba-785d-4623-9398-e9902308b561 00:32:14.796 --> 00:32:17.049 context so they know how to interpret NOTE Confidence: 0.785297332941177 773e55dd-13f1-477b-90cc-4de9edd86d7e 00:32:17.049 --> 00:32:18.957 and work with the data appropriately. NOTE Confidence: 0.785297332941177 63f65ebd-72db-4e72-b96b-5453de392133 00:32:18.960 --> 00:32:21.256 Over the years we have responded to NOTE Confidence: 0.785297332941177 2334ba26-e0bc-4894-9581-3cae5b9e99e5 00:32:21.256 --> 00:32:23.008 over 100 individual data requests NOTE Confidence: 0.785297332941177 3c808d85-ceda-4982-b9f4-2fc9f30ec58a 00:32:23.008 --> 00:32:24.768 from multiple agencies and groups NOTE Confidence: 0.785297332941177 8a6bd863-1b5a-483e-984e-975bdc89b0e8 00:32:24.768 --> 00:32:27.080 and as this figure demonstrates, NOTE Confidence: 0.785297332941177 b891dc7c-f3dc-4f5a-bf75-00e626e3d065 00:32:27.080 --> 00:32:30.880 those requests continue to increase. NOTE Confidence: 0.785297332941177 4f5efa9d-c23e-4092-80c6-81e9b4546e82 00:32:30.880 --> 00:32:32.024 The LTDL in particular, NOTE Confidence: 0.785297332941177 9e41ba68-7beb-491a-9e27-6b2d707fc328 00:32:32.024 --> 00:32:34.010 but also the wildland fire data set, NOTE Confidence: 0.785297332941177 862f921a-2764-497a-9ff9-760bbb01f3d1 00:32:34.010 --> 00:32:36.229 have led to dozens of research projects NOTE Confidence: 0.785297332941177 21b29bee-69f6-4f79-b172-61fe6388dfd3 00:32:36.229 --> 00:32:37.970 and peer reviewed publications. NOTE Confidence: 0.785297332941177 b8302ce4-63d6-492c-ad42-5508b8ff08ff 00:32:37.970 --> 00:32:40.413 We are literally enabling science on a NOTE Confidence: 0.785297332941177 5d76df50-1eae-46f8-9122-cfb389c10fa7 00:32:40.413 --> 00:32:42.782 temporal and spatial scale that wasn't NOTE Confidence: 0.785297332941177 7fd29722-0b83-4cb9-b0ea-d8c499e6020a 00:32:42.782 --> 00:32:44.887 possible before these datasets existed. NOTE Confidence: 0.785297332941177 6098b4a1-ef33-4209-9ea0-db834861659f 00:32:44.890 --> 00:32:47.234 Since this is a public lecture and it's NOTE Confidence: 0.785297332941177 a4a793b2-bd1d-4066-b45b-7b440706c477 00:32:47.234 --> 00:32:49.378 likely some of you are not scientists. NOTE Confidence: 0.785297332941177 d9db3518-27a0-4a7c-8ccb-67cbd1d85e71 00:32:49.380 --> 00:32:51.812 I'm sure you're not caught up on all NOTE Confidence: 0.785297332941177 a2d925ed-2452-425a-a334-8a374f8afb0d 00:32:51.812 --> 00:32:53.879 the latest scientific articles, NOTE Confidence: 0.785297332941177 c30f2ab4-b130-47ec-9175-b91aac49cbe5 00:32:53.880 --> 00:32:56.900 so let's go into each one of these in detail. NOTE Confidence: 0.785297332941177 1ad549b5-5f14-4786-87fc-326a36f4f5ac 00:32:56.900 --> 00:32:58.580 Kidding. NOTE Confidence: 0.785297332941177 5555f774-358e-464f-b440-af57b5cb82ff 00:32:58.580 --> 00:32:58.830 However, NOTE Confidence: 0.785297332941177 9e02cb65-45bf-4a82-a903-a8468369ba43 00:32:58.830 --> 00:33:01.080 I do want to highlight a few of the NOTE Confidence: 0.785297332941177 3db4dc64-66fc-4cba-a927-d99de60171d4 00:33:01.142 --> 00:33:03.020 coolest details from two of them. NOTE Confidence: 0.785297332941177 226bab45-7b08-4f14-b3f7-a085455da4b8 00:33:03.020 --> 00:33:04.340 Let's start with this paper. NOTE Confidence: 0.785297332941177 395a4811-c6e6-49d6-8b22-5445531a07ee 00:33:04.340 --> 00:33:06.284 Looking at 75 years of vegetation NOTE Confidence: 0.785297332941177 3ac145ae-5b5a-4648-9980-ef7e2853028c 00:33:06.284 --> 00:33:07.980 treatments in the Great Basin. NOTE Confidence: 0.785297332941177 7b4b08ec-873d-4c6b-89e7-729b4b906593 00:33:07.980 --> 00:33:08.275 Again, NOTE Confidence: 0.785297332941177 85634c1e-a6f0-403f-93e5-c61019c4c23b 00:33:08.275 --> 00:33:09.160 to Orient everyone, NOTE Confidence: 0.785297332941177 f3fd503a-50dc-4632-ae11-2ae5441d3f5d 00:33:09.160 --> 00:33:10.930 the Great Basin is centered on NOTE Confidence: 0.785297332941177 a8192767-c9a3-4d3e-8e31-ea491a8b12df 00:33:10.985 --> 00:33:12.485 Nevada and includes parts of NOTE Confidence: 0.785297332941177 e8a2e9ba-0c23-4856-8de4-a03515c316bb 00:33:12.485 --> 00:33:14.362 the surrounding States and as a NOTE Confidence: 0.785297332941177 f472d4e7-3039-43a7-8a27-bf0203a19201 00:33:14.362 --> 00:33:15.957 hotspot for BLM treatment activity, NOTE Confidence: 0.785297332941177 d83db78f-df65-4db7-9c71-eb4d0705ad68 00:33:15.960 --> 00:33:17.480 particularly in the northern NOTE Confidence: 0.785297332941177 af52a9f7-0b69-4d47-b95c-56f957543e9d 00:33:17.480 --> 00:33:19.000 and central Great Basin. NOTE Confidence: 0.785297332941177 06703cff-c9a6-406b-8d72-4525b8b4c305 00:33:19.000 --> 00:33:19.834 In this paper, NOTE Confidence: 0.785297332941177 2ec48312-c696-4343-891b-77c5aa892548 00:33:19.834 --> 00:33:21.502 we used the LTDL to analyze NOTE Confidence: 0.785297332941177 9608c014-7f05-4a17-bd1b-bb544a018094 00:33:21.502 --> 00:33:23.762 how patterns and trends and BLM NOTE Confidence: 0.785297332941177 66f4aec4-f6c9-4cdb-a4b7-e659d8a46f0d 00:33:23.762 --> 00:33:25.294 treatments changed over time, NOTE Confidence: 0.785297332941177 c9dc5469-9e75-4a2e-bb4e-f964f1362e9c 00:33:25.300 --> 00:33:26.865 basically asking the question how NOTE Confidence: 0.785297332941177 9591c268-f223-45e7-95a6-084fa89ea55d 00:33:26.865 --> 00:33:28.826 is the BLM changed this treatment NOTE Confidence: 0.785297332941177 c0339e34-3731-4f14-a728-c871fdb14631 00:33:28.826 --> 00:33:30.531 practices over the decades in NOTE Confidence: 0.785297332941177 67238a7b-1e28-48f3-bea8-2609575bd101 00:33:30.531 --> 00:33:31.554 the Great Basin? NOTE Confidence: 0.785297332941177 a33a56a7-df23-4af5-b137-0a627e7050e7 00:33:31.560 --> 00:33:32.364 In this figure, NOTE Confidence: 0.785297332941177 6dad016a-feae-4ba8-9268-8869e991dfb4 00:33:32.364 --> 00:33:34.240 we have treatment year on the X NOTE Confidence: 0.785297332941177 434ccabc-48d2-44e1-bc52-ba1e7e66275e 00:33:34.301 --> 00:33:36.251 axis and account of post wildfire NOTE Confidence: 0.785297332941177 b33b5254-0f1d-4157-abbd-5b60a729d09d 00:33:36.251 --> 00:33:38.195 treatments in black and non wildfire NOTE Confidence: 0.785297332941177 69254f7e-49ed-4019-a716-5126eca8dfc0 00:33:38.195 --> 00:33:40.232 treatments in Gray on the Y axis. NOTE Confidence: 0.785297332941177 13883973-792b-4810-a501-3b6ff167b442 00:33:40.240 --> 00:33:42.260 What's fascinating is that you NOTE Confidence: 0.785297332941177 cb1816b5-8755-4b0b-9769-62770f9b3636 00:33:42.260 --> 00:33:44.698 can see how legislation passed by NOTE Confidence: 0.785297332941177 f9386e38-7981-47dd-91cf-eb3e4874f255 00:33:44.698 --> 00:33:46.768 Congress impacts the BLM's work at NOTE Confidence: 0.785297332941177 c1dd8a83-c2f1-4e3e-a06a-3f89916aa2fc 00:33:46.768 --> 00:33:49.493 points one and two with the national NOTE Confidence: 0.785297332941177 9ec3bf15-6c64-4a4b-887f-05109606a1d6 00:33:49.493 --> 00:33:51.450 Environmental Policy Act of 1969 NOTE Confidence: 0.785297332941177 6f723101-29fb-492e-8c56-e8c009eddd58 00:33:51.450 --> 00:33:53.430 and the federal Land and Management NOTE Confidence: 0.785297332941177 37b03449-e393-4d24-bbbe-87bac1402b0d 00:33:53.430 --> 00:33:56.178 Policy Act of 1976 at both of these points, NOTE Confidence: 0.785297332941177 cb9dcc6f-5deb-47e3-b291-24385edbb805 00:33:56.180 --> 00:33:58.196 we see a dramatic drop in the number NOTE Confidence: 0.785297332941177 05f98af1-cec3-4275-9507-42466c7f7795 00:33:58.196 --> 00:33:59.764 of treatments conducted as the BLM NOTE Confidence: 0.785297332941177 d7cd2ac8-45ed-405d-9d7f-bc62b5afda5d 00:33:59.764 --> 00:34:02.039 was required to adjust to new paperwork and. NOTE Confidence: 0.785297332941177 70c57032-d187-4820-9673-170676a9fdeb 00:34:02.040 --> 00:34:04.345 Policy requirements at .3 we NOTE Confidence: 0.785297332941177 342d8957-897b-4032-a0af-302fcb63596f 00:34:04.345 --> 00:34:06.650 actually see the opposite effect. NOTE Confidence: 0.850612599 eefb2bfc-8afc-4195-a66c-ffcfb4a72199 00:34:06.650 --> 00:34:07.875 It's a huge increase in NOTE Confidence: 0.850612599 2846ec8a-1915-422c-b2b2-ddbdf2f22f2b 00:34:07.875 --> 00:34:09.100 fires in the Great Basin. NOTE Confidence: 0.850612599 0e8f48b2-9124-4692-a07a-393466a9b73b 00:34:09.100 --> 00:34:11.408 In other areas in the late 1990s NOTE Confidence: 0.850612599 15861629-230f-4862-871e-0c032671269d 00:34:11.408 --> 00:34:13.436 and 2000s and subsequent surge in NOTE Confidence: 0.850612599 d2384be2-3ba5-4d21-9662-4b3e0a7fe57a 00:34:13.436 --> 00:34:15.449 treatments you can see happen right NOTE Confidence: 0.850612599 5c4cc4d1-959b-4c1f-a3d2-86040a313630 00:34:15.450 --> 00:34:18.005 before .3 this surge in fires led NOTE Confidence: 0.850612599 d25579b0-8ecd-467f-a21a-9cdaa132682e 00:34:18.005 --> 00:34:20.535 to the National Fire plan in 2001 NOTE Confidence: 0.850612599 b1e64932-3325-472e-bdda-1455e5ba6cab 00:34:20.535 --> 00:34:23.325 outlining a new approach to actively NOTE Confidence: 0.850612599 f0ad8403-d8bb-4e50-886e-ef56f88ab7fb 00:34:23.325 --> 00:34:25.990 respond to severe wildland fires. NOTE Confidence: 0.850612599 bf618d53-26c4-402d-95d6-8f6ff7d1401c 00:34:25.990 --> 00:34:28.020 The 2nd paper protecting restoration NOTE Confidence: 0.850612599 3a0deae5-62a2-4da8-9494-30d84c1c52a6 00:34:28.020 --> 00:34:30.050 investments from the Chute Grass NOTE Confidence: 0.850612599 fc86534e-36a3-4fdd-8b72-05b5f22ef7c4 00:34:30.115 --> 00:34:31.843 fire cycle in Sage where step NOTE Confidence: 0.850612599 c95090eb-40bb-4644-b88e-214691e812dc 00:34:31.843 --> 00:34:33.926 we utilize both the LDL and the NOTE Confidence: 0.850612599 2b41da49-8fd7-473b-8659-3c5c9596eb1d 00:34:33.926 --> 00:34:35.942 wildfire data set to ask the question NOTE Confidence: 0.850612599 e90844d1-e4c0-4596-9718-fdd5c5656fe7 00:34:35.950 --> 00:34:37.940 how often are seeding treatments NOTE Confidence: 0.850612599 b6838680-67ae-45a9-b0a6-07c69f02209a 00:34:37.940 --> 00:34:40.330 returning in a high priority area? NOTE Confidence: 0.850612599 339f2ac3-6e6c-49b0-ac4a-41fd447e6e5a 00:34:40.330 --> 00:34:42.322 The BLM has invested in millions NOTE Confidence: 0.850612599 2f71027c-f6ab-4e6f-911c-526ed8adc006 00:34:42.322 --> 00:34:43.998 of dollars to stabilize and NOTE Confidence: 0.850612599 868c6be9-3bb5-4c01-bdba-4d19741cb24a 00:34:43.998 --> 00:34:45.708 restore burned areas after a fire NOTE Confidence: 0.850612599 ce94069a-19d1-41e1-9332-30a61c1e1b64 00:34:45.708 --> 00:34:47.894 as well as maintain the native NOTE Confidence: 0.850612599 242f1f68-6e0e-466c-ae87-65fdb3f06fd6 00:34:47.894 --> 00:34:49.590 habitat that remains unburned. NOTE Confidence: 0.850612599 f6b6e309-dd7f-468e-96ba-6c3081ae2bbf 00:34:49.590 --> 00:34:51.070 They're planning on putting up NOTE Confidence: 0.850612599 a0843ca9-7cde-48da-b515-688fc0e35c12 00:34:51.070 --> 00:34:53.286 a network of fuel breaks or long NOTE Confidence: 0.850612599 98f37ade-36ba-4b28-b8dd-a301182af43b 00:34:53.286 --> 00:34:54.642 skinny treatments designed to NOTE Confidence: 0.850612599 a725d8ea-1f23-4279-a1bb-8011ef03dc8a 00:34:54.642 --> 00:34:56.668 prevent fire spread along a huge NOTE Confidence: 0.850612599 d8e91c09-3736-43fb-af29-69aae52aeafe 00:34:56.668 --> 00:34:57.888 network in the highlighted. NOTE Confidence: 0.850612599 ca6469f2-1b5d-45e3-817f-ff96c00a5aee 00:34:57.890 --> 00:34:59.752 Area here on the map as they NOTE Confidence: 0.850612599 8bb3c1ce-af5b-4127-853e-80fef0ad6ef2 00:34:59.752 --> 00:35:00.970 implement these shield breaks. NOTE Confidence: 0.850612599 953c1767-9281-443a-b665-9f2690af24b7 00:35:00.970 --> 00:35:03.620 We wanted to look at how much and where their NOTE Confidence: 0.850612599 29a79083-b587-4fce-baa6-8a86281acdef 00:35:03.688 --> 00:35:06.166 previous treatments have returned to date. NOTE Confidence: 0.850612599 faeb74f1-5eaf-4acc-b94e-4febdf99a4f9 00:35:06.170 --> 00:35:07.295 In this figure, NOTE Confidence: 0.850612599 b6e3b765-5274-4b04-80b2-5fc9dd9b665c 00:35:07.295 --> 00:35:10.929 we see year of the seating on the X axis. NOTE Confidence: 0.850612599 f11e63d6-5328-4bb1-aaeb-caeb31373368 00:35:10.930 --> 00:35:12.904 An area in square kilometers on NOTE Confidence: 0.850612599 eaac265d-1c79-4434-a82b-02d942cbff21 00:35:12.904 --> 00:35:15.189 the primary axis on the left side, NOTE Confidence: 0.850612599 019a2eeb-9a0e-4ffa-aeee-a8aa87234a43 00:35:15.190 --> 00:35:16.478 the yellow bars represent NOTE Confidence: 0.850612599 bff133a8-9c5f-486e-b212-f3e35fa5804a 00:35:16.478 --> 00:35:18.088 seating treatments in that year NOTE Confidence: 0.850612599 1f509248-1843-4820-aad9-87016404b5a4 00:35:18.088 --> 00:35:19.768 that have subsequently burned, NOTE Confidence: 0.850612599 b5657f54-a8e8-4258-b59d-a45329ce3804 00:35:19.770 --> 00:35:21.984 while the blue bars represent seatings NOTE Confidence: 0.850612599 a227e143-d505-4f73-999c-865f9aaa3261 00:35:21.984 --> 00:35:24.228 that had not burned as of 2019. NOTE Confidence: 0.850612599 9a7cdea3-8343-4dd6-b9ec-7fb400ed17d4 00:35:24.230 --> 00:35:26.386 The secondary y axis on the right shows NOTE Confidence: 0.850612599 d1584d2a-af31-43dd-94b7-04bbb07b46ba 00:35:26.386 --> 00:35:28.418 the percent of seatings that have NOTE Confidence: 0.850612599 75afd767-2c5f-4516-b2ea-127a5de716a5 00:35:28.418 --> 00:35:30.512 subsequently returned in that year and NOTE Confidence: 0.850612599 aa62ddfd-9262-4f77-9e21-65c301bd2a41 00:35:30.512 --> 00:35:32.779 is represented by a Gray line here. NOTE Confidence: 0.850612599 59cd3963-45b3-46b0-bb2e-a7dc3dad5ca1 00:35:32.780 --> 00:35:33.516 Not surprisingly, NOTE Confidence: 0.850612599 a37acbb0-4b08-453d-9f06-369236600d89 00:35:33.516 --> 00:35:35.356 the more recent receding is, NOTE Confidence: 0.850612599 07e84bab-fc1c-4959-9410-2cf067ce98f8 00:35:35.360 --> 00:35:37.257 the less likely it is to burn. NOTE Confidence: 0.850612599 daed2add-7271-4e93-b69a-7b78859ac255 00:35:37.260 --> 00:35:38.892 This makes sense is more recent NOTE Confidence: 0.850612599 cb139c31-9c62-44f5-8deb-e417912ebb1e 00:35:38.892 --> 00:35:39.980 seatings simply haven't been NOTE Confidence: 0.850612599 6acbe255-66f6-441f-84a2-102ff24ae9f1 00:35:40.028 --> 00:35:41.582 around long enough to have a high NOTE Confidence: 0.850612599 acfdaf3c-7f79-4ffa-8582-9eb0f59b7261 00:35:41.582 --> 00:35:43.158 chance of being consumed in a fire. NOTE Confidence: 0.850612599 61ca47de-56bb-4d21-9775-00fc8f81cdbd 00:35:43.160 --> 00:35:45.524 It's also concerning because the longer NOTE Confidence: 0.850612599 63fe04e5-2eaa-4395-9095-c2907dfad6de 00:35:45.524 --> 00:35:47.890 these recent seatings continue to be around, NOTE Confidence: 0.850612599 83fd994a-343a-4720-ba8e-ddcb43f4f671 00:35:47.890 --> 00:35:50.186 the more likely they are to burn. NOTE Confidence: 0.850612599 3402e3d3-b0d7-4ffe-9ba8-50a71183fafc 00:35:50.190 --> 00:35:53.070 We found that about 75% of the BLM NOTE Confidence: 0.850612599 8a581542-a4af-445e-b491-4b145ee32273 00:35:53.070 --> 00:35:54.270 seatings have remained unburned NOTE Confidence: 0.850612599 6c7e23c1-e228-4c55-b8fd-c1db4a3668ed 00:35:54.270 --> 00:35:56.239 and also found there are geographic NOTE Confidence: 0.850612599 67d8d7b2-bf07-4b0a-8c70-f78cd9a86c35 00:35:56.239 --> 00:35:57.924 differences in terms of which NOTE Confidence: 0.850612599 bb43ebf2-9c6d-4ad0-b412-9ffe67f4023e 00:35:57.924 --> 00:35:59.707 settings were most likely to burn. NOTE Confidence: 0.850612599 6b065cd9-5563-4c81-9a5f-e58c9dd8efda 00:35:59.710 --> 00:36:01.516 We hope our research helps the NOTE Confidence: 0.850612599 89727037-c200-4cb8-bf03-c0faf62951dd 00:36:01.516 --> 00:36:03.651 BLM place their fuel breaks for NOTE Confidence: 0.850612599 06e08c43-7bf3-4021-8a0e-600053acf6a5 00:36:03.651 --> 00:36:05.395 maximum effectiveness to help NOTE Confidence: 0.850612599 204cd703-8663-44f4-abf9-d706d6f2278d 00:36:05.395 --> 00:36:07.139 protect their seating investments NOTE Confidence: 0.850612599 61606f19-7f5c-4dd8-8054-45f8339b4d06 00:36:07.205 --> 00:36:09.329 and the native habitat that remains. NOTE Confidence: 0.850612599 86142664-ac38-4ac8-a095-1f3498430c3d 00:36:09.330 --> 00:36:10.912 Now all this is great for scientists NOTE Confidence: 0.850612599 f5663878-2564-4b54-8237-42911c6b06be 00:36:10.912 --> 00:36:12.364 who have the time and experience NOTE Confidence: 0.850612599 e7bdd934-0efb-4138-a62f-621f6af541e0 00:36:12.364 --> 00:36:14.044 to really dive into the data and NOTE Confidence: 0.850612599 b181bb23-7d30-4173-b3cc-a3fb1209aedf 00:36:14.097 --> 00:36:14.928 study the details. NOTE Confidence: 0.850612599 ee76e729-c8dd-497a-88fc-a54c01d4e383 00:36:14.930 --> 00:36:16.435 How are these data can still be NOTE Confidence: 0.850612599 136e0052-d19d-4036-b143-f6c8a8f09da5 00:36:16.435 --> 00:36:18.083 useful and of interest to resource NOTE Confidence: 0.850612599 90430db3-fc9a-4bed-98c5-9037e2a90b1a 00:36:18.083 --> 00:36:19.668 managers and the general public. NOTE Confidence: 0.850612599 c03924c0-e15e-43bb-bc2f-4bf173e3145f 00:36:19.670 --> 00:36:21.182 We just need a way to deliver it NOTE Confidence: 0.850612599 f2d8c409-c649-4b07-887f-be8873a5d675 00:36:21.182 --> 00:36:23.177 to people like you in a way that NOTE Confidence: 0.850612599 6e78cdb2-42c6-41c1-9e81-4be00050ee97 00:36:23.177 --> 00:36:24.221 doesn't require expensive software, NOTE Confidence: 0.850612599 ba00caa0-d5c0-49b6-83fe-302ee6ea4bf9 00:36:24.230 --> 00:36:26.228 lots of time and plenty of NOTE Confidence: 0.850612599 5b74d33c-54b5-4f23-8ed4-cd90e8fcd5a9 00:36:26.228 --> 00:36:27.560 experience and data analysis. NOTE Confidence: 0.850612599 2bff69fb-8b6d-45d1-a52d-aaef5d4d368a 00:36:27.560 --> 00:36:28.442 To do this. NOTE Confidence: 0.850612599 9a353714-d0c6-4988-8ab2-1284c8bdf699 00:36:28.442 --> 00:36:29.912 We are developing decision support NOTE Confidence: 0.850612599 92d31ceb-8995-46f9-ad3a-7555bbb3ebf7 00:36:29.912 --> 00:36:32.147 tools that allow anyone with an Internet NOTE Confidence: 0.850612599 362b640f-69d2-4c2c-ae00-176de4844a3e 00:36:32.147 --> 00:36:33.742 connection to access these data. NOTE Confidence: 0.850612599 317993d9-f53d-4268-b3ef-3c0acbdbdee1 00:36:33.750 --> 00:36:36.067 Let's start as I have been throughout NOTE Confidence: 0.850612599 1c2243e3-e923-4738-9a26-7157640c176b 00:36:36.067 --> 00:36:37.802 this presentation with the LTDL NOTE Confidence: 0.850612599 bf343e93-4799-4cf4-abb1-6f0062e0b54b 00:36:37.802 --> 00:36:39.892 decision support tool, the land. NOTE Confidence: 0.850612599 1a693c38-0cc6-4564-b78f-698963e7bc3b 00:36:39.892 --> 00:36:43.078 Treatment exploration tool or LTE T. NOTE Confidence: 0.850612599 447329b6-54a6-4b25-ae63-5ef5006eea58 00:36:43.080 --> 00:36:45.194 The LTE T is a publicly accessible NOTE Confidence: 0.850612599 d016c499-16b1-4e45-9878-2287cdaa6511 00:36:45.194 --> 00:36:46.949 tool that allows users to draw NOTE Confidence: 0.850612599 b428ae4c-3fba-44f0-8537-3f7552438889 00:36:46.949 --> 00:36:48.776 a Polygon on wild lens and get NOTE Confidence: 0.784482503333333 4ff45d21-e5ab-4c6d-9037-ac6f8a2bf40f 00:36:48.836 --> 00:36:50.436 information about that land area NOTE Confidence: 0.784482503333333 46da8784-32bd-4dfe-92bd-38b90d82878b 00:36:50.436 --> 00:36:52.429 as well as that lands history. NOTE Confidence: 0.784482503333333 639f2467-3ef7-4a06-9543-86e031cc40bf 00:36:52.429 --> 00:36:54.763 While it's specifically designed to help NOTE Confidence: 0.784482503333333 3778f51c-78bc-4bfe-b304-573b8b459bec 00:36:54.763 --> 00:36:56.699 users plan treatments on Wildlands, NOTE Confidence: 0.784482503333333 8034132d-a660-4afd-bcc4-0e3f4b21d95c 00:36:56.700 --> 00:36:57.995 it's a fully interactive tool NOTE Confidence: 0.784482503333333 ed8ac5ba-5cf6-4160-aa49-3d8547eadfc7 00:36:57.995 --> 00:36:59.893 that anyone can use to learn more NOTE Confidence: 0.784482503333333 b517a2f2-9b42-4d21-a734-78c70f085636 00:36:59.893 --> 00:37:01.537 about the wild areas around them. NOTE Confidence: 0.784482503333333 9c4bbdfb-d44f-4f37-8f64-6369b9c345b2 00:37:01.540 --> 00:37:03.836 Again, this is based on the LTDL, NOTE Confidence: 0.784482503333333 63625d2a-5c43-44db-8944-59a188e26658 00:37:03.840 --> 00:37:06.048 so it is focused on the NOTE Confidence: 0.784482503333333 a0b6627d-53b0-4a88-8a08-89fe4a10b015 00:37:06.048 --> 00:37:07.520 Western contiguous us however, NOTE Confidence: 0.784482503333333 f32a0cde-dcdc-4ee8-b443-640cfed445fd 00:37:07.520 --> 00:37:09.430 the tool has limited functionality NOTE Confidence: 0.784482503333333 f96f3d11-23fb-48ab-b3e4-55c5952d23b4 00:37:09.430 --> 00:37:11.760 in the eastern US as well. NOTE Confidence: 0.784482503333333 12680a47-0d1f-4c69-8470-b2a9ab0065bf 00:37:11.760 --> 00:37:13.380 So what is the LTE T? NOTE Confidence: 0.784482503333333 869989f4-1861-484d-8565-34a9519c73de 00:37:13.380 --> 00:37:13.970 Well, first, NOTE Confidence: 0.784482503333333 2893b52f-3836-4bca-b16f-7dfb1bb78156 00:37:13.970 --> 00:37:15.150 it's an interactive webmap NOTE Confidence: 0.784482503333333 c39c1aea-a73e-4b23-8a29-929d2345c2da 00:37:15.150 --> 00:37:16.720 with over 60 different layers. NOTE Confidence: 0.784482503333333 f9adef34-cf26-4225-a69e-e7cd542d825c 00:37:16.720 --> 00:37:18.526 You can turn on and off and NOTE Confidence: 0.784482503333333 b7f5cc99-0bca-423e-b45d-ecf25ae09dad 00:37:18.526 --> 00:37:19.860 identify features about your site. NOTE Confidence: 0.784482503333333 cba3ca11-c7b5-41b8-bc83-5fceb1d17a91 00:37:19.860 --> 00:37:22.457 As I'm demonstrating here with shrub cover, NOTE Confidence: 0.784482503333333 15c54f13-495a-4b7a-b663-633c110fb11b 00:37:22.460 --> 00:37:24.581 it provides you with a treatment history NOTE Confidence: 0.784482503333333 f78ddafa-e885-4f1d-9832-710db823b1e0 00:37:24.581 --> 00:37:26.776 from the LTDL so you can see where NOTE Confidence: 0.784482503333333 2182937a-e65f-4534-adf8-c0575341d289 00:37:26.776 --> 00:37:28.986 how many and what types of BLM land NOTE Confidence: 0.784482503333333 1fcc9a9e-390f-4fab-adfb-1eb143167d36 00:37:28.986 --> 00:37:30.816 treatments have occurred in the area. NOTE Confidence: 0.784482503333333 e0ed9f98-1435-4bea-91c9-83f9d8359a13 00:37:30.820 --> 00:37:32.155 It includes a fire history NOTE Confidence: 0.784482503333333 726821bc-8143-4494-bc30-87ad1977d9a3 00:37:32.155 --> 00:37:34.075 allowing you to see areas that have NOTE Confidence: 0.784482503333333 dfc3d35b-9c27-4395-8db5-5290cace2e63 00:37:34.075 --> 00:37:35.653 burned in and around your site. NOTE Confidence: 0.784482503333333 7c297219-fa73-43b1-9411-b75a1ecd5c75 00:37:35.660 --> 00:37:37.724 This fire count is actually the NOTE Confidence: 0.784482503333333 28d1f395-3af5-43c3-a14a-61a350de59d8 00:37:37.724 --> 00:37:39.804 fire count summary data that we NOTE Confidence: 0.784482503333333 6aee7e64-184f-4c10-a634-f0cabb0e4742 00:37:39.804 --> 00:37:41.724 published with the fire data set. NOTE Confidence: 0.784482503333333 252991cd-d67b-421b-b2ba-1a88a7ce9757 00:37:41.730 --> 00:37:43.809 And here's one of my favorite features NOTE Confidence: 0.784482503333333 2fa3796a-ce3c-4424-82d7-73ce0c7616a3 00:37:43.809 --> 00:37:45.725 for more than a dozen different NOTE Confidence: 0.784482503333333 6d3d99ad-07b4-48e4-87e7-f8fc907ab707 00:37:45.725 --> 00:37:47.965 spatial datasets we provide on the fly NOTE Confidence: 0.784482503333333 cb5efa1e-b581-4e4a-8f9d-a2a887b27041 00:37:48.028 --> 00:37:50.488 calculations specific to your Polygon area, NOTE Confidence: 0.784482503333333 3a6e8e2f-9ae3-48a2-9020-a19f8795825b 00:37:50.490 --> 00:37:52.387 allowing you to learn things like elevation, NOTE Confidence: 0.784482503333333 e9480fca-e9a3-4fc8-9582-36e48e181364 00:37:52.390 --> 00:37:52.880 precipitation, NOTE Confidence: 0.784482503333333 5e59789f-238e-4d66-8b91-920a93f7b897 00:37:52.880 --> 00:37:53.370 temperature, NOTE Confidence: 0.784482503333333 6be9fc7b-10f8-4e10-b1a5-731e6f8040ef 00:37:53.370 --> 00:37:55.820 and vegetation for your site. NOTE Confidence: 0.784482503333333 af8859f8-cbee-41c4-a961-9b411d8f1467 00:37:55.820 --> 00:37:58.764 For this site we can see for those NOTE Confidence: 0.784482503333333 f7c6a64f-d110-45a5-a917-bad1c317085e 00:37:58.764 --> 00:38:01.640 two polygons I drew that the average NOTE Confidence: 0.784482503333333 0c60979b-9936-40d8-8e50-e4cc7ed13b98 00:38:01.640 --> 00:38:03.632 elevation is about 760 feet, NOTE Confidence: 0.784482503333333 a2e3345c-67e2-4a45-b62f-8b2bc343dacd 00:38:03.632 --> 00:38:05.136 the average maximum minimum NOTE Confidence: 0.784482503333333 c28c878b-e931-4b35-9978-5058bd6ded40 00:38:05.136 --> 00:38:07.241 temperatures are 56 and 32 NOTE Confidence: 0.784482503333333 851f1e44-d17b-4c6e-adff-f31b21af2904 00:38:07.241 --> 00:38:08.858 degrees Fahrenheit respectively, NOTE Confidence: 0.784482503333333 fc14ca28-4712-41d6-8cf0-7a9a290ca151 00:38:08.860 --> 00:38:11.681 and the area receives around 16 inches NOTE Confidence: 0.784482503333333 aafa5551-d2e7-4a84-8a2e-9fcd2b294d7f 00:38:11.681 --> 00:38:14.079 of precipitation in an average year. NOTE Confidence: 0.784482503333333 373c7013-86ee-4689-b115-22493c3aec1d 00:38:14.080 --> 00:38:15.976 We have many more additional features, NOTE Confidence: 0.784482503333333 2565857f-5ef1-4204-b39d-0fe9fe52fc3b 00:38:15.980 --> 00:38:17.770 including allowing users to drill NOTE Confidence: 0.784482503333333 cadb1b43-4835-4159-b3e1-b88308bd12be 00:38:17.770 --> 00:38:19.560 down into specific overlapping and NOTE Confidence: 0.784482503333333 e3fe0387-7281-44c2-9a41-99eb3b9263de 00:38:19.612 --> 00:38:21.382 nearby treatments, see details, NOTE Confidence: 0.784482503333333 a47ccdb6-e000-4756-a1ad-79e60925a8d4 00:38:21.382 --> 00:38:24.259 learn about drought forecasts for the future, NOTE Confidence: 0.784482503333333 3e2a9169-89aa-40ad-9b4d-066adb262b24 00:38:24.260 --> 00:38:26.078 and learn what has happened in NOTE Confidence: 0.784482503333333 bf12970a-7747-47ff-bc5d-5f9ad543a51d 00:38:26.078 --> 00:38:27.690 the area in the past. NOTE Confidence: 0.784482503333333 7b29ef5e-7398-48b2-b984-1a5bd898a850 00:38:27.690 --> 00:38:29.734 All this information can be exported into NOTE Confidence: 0.784482503333333 e22ce1a5-c737-40ac-afb8-858628be7dc4 00:38:29.734 --> 00:38:32.208 a report that can be referenced and shared. NOTE Confidence: 0.784482503333333 026f9a4f-d56d-4e91-838c-c9a1a6ceda15 00:38:32.210 --> 00:38:34.667 What about the wildland fire data set? NOTE Confidence: 0.784482503333333 481d162e-bacd-4743-8ec8-07cac70b2182 00:38:34.670 --> 00:38:36.344 Well, we are currently working on NOTE Confidence: 0.784482503333333 77f8127e-a2bf-49b9-9154-780925ffae15 00:38:36.344 --> 00:38:37.830 finalizing our wildland fire trends, NOTE Confidence: 0.784482503333333 7f7ab76f-b74a-46b7-bf12-ff86d4e97bb1 00:38:37.830 --> 00:38:38.522 tooler WFTT. NOTE Confidence: 0.784482503333333 6e399a88-e205-4e65-af30-70431d3b895c 00:38:38.522 --> 00:38:40.598 One thing you learn when working NOTE Confidence: 0.784482503333333 7a1c870a-9b1f-4081-8168-0abbf5318110 00:38:40.598 --> 00:38:42.629 for the federal government. NOTE Confidence: 0.784482503333333 85143bdd-56c2-4981-9576-fbfbe82edb5f 00:38:42.630 --> 00:38:44.590 We do love our acronyms. NOTE Confidence: 0.784482503333333 a0e5ca77-49cf-4cf4-a861-de55a4a127db 00:38:44.590 --> 00:38:46.486 The link on this page isn't active yet. NOTE Confidence: 0.784482503333333 1db7bb5c-f7ae-438d-bea9-c0c7cbccf3a0 00:38:46.490 --> 00:38:46.766 Well, NOTE Confidence: 0.784482503333333 b915802c-f35f-4e7b-b326-1a3929861804 00:38:46.766 --> 00:38:48.422 we plan to have this published NOTE Confidence: 0.784482503333333 fe573fe9-b8c2-4f2c-8dc6-337dd603c534 00:38:48.422 --> 00:38:49.816 and available through the public NOTE Confidence: 0.784482503333333 cc3b54b0-fc64-4da2-af2f-690b473ae157 00:38:49.816 --> 00:38:51.490 later this spring or summer like NOTE Confidence: 0.784482503333333 fdafc643-36b9-40e4-b6bc-c9797eaf14d4 00:38:51.490 --> 00:38:53.390 the land human exploration tool, NOTE Confidence: 0.784482503333333 298d6c53-4f3a-4d71-9b09-0e780aec24cc 00:38:53.390 --> 00:38:55.240 the WFT is designed specifically NOTE Confidence: 0.784482503333333 e92b6320-b1b6-4003-80a8-1ae80c034077 00:38:55.240 --> 00:38:56.350 so that anyone, NOTE Confidence: 0.784482503333333 d7b8f367-fe26-4b8b-b92c-01235d27e733 00:38:56.350 --> 00:38:58.086 regardless of their knowledge or skill level, NOTE Confidence: 0.784482503333333 de43ff87-0ed6-434a-8916-f8e192d143f1 00:38:58.090 --> 00:38:59.314 can learn more about. NOTE Confidence: 0.784482503333333 7178dbda-ebae-4fc9-b03b-e48d913f32a7 00:38:59.314 --> 00:39:01.150 wild land fires in the United States NOTE Confidence: 0.784482503333333 f8a47a39-fb7e-4364-86d9-3832db0ca8f7 00:39:01.214 --> 00:39:02.519 in an area of interest. NOTE Confidence: 0.784482503333333 638439e9-5b53-4e9b-9d73-2afbfdf2356b 00:39:02.520 --> 00:39:02.815 Unfortunately, NOTE Confidence: 0.784482503333333 56cecc33-b9df-485e-816d-97d8e7f262a8 00:39:02.815 --> 00:39:05.175 due to the sheer amount of data involved, NOTE Confidence: 0.784482503333333 a09a5896-6f06-4087-a14d-665af7456ab9 00:39:05.180 --> 00:39:06.252 because we're talking millions NOTE Confidence: 0.784482503333333 75f7b47a-c7a8-4991-8fcb-7d034348cace 00:39:06.252 --> 00:39:08.112 and millions of rows of data for NOTE Confidence: 0.784482503333333 1bd43ccc-628c-43ea-b364-f2eba8132dfa 00:39:08.112 --> 00:39:09.097 just what we have now, NOTE Confidence: 0.784482503333333 c4152cba-e92f-4a22-a643-ad598aada2b9 00:39:09.100 --> 00:39:11.104 this is also limited to the NOTE Confidence: 0.784482503333333 20488e91-ae59-43a3-8499-3627b10a9489 00:39:11.104 --> 00:39:12.440 Western contiguous us however, NOTE Confidence: 0.784482503333333 0a6928e5-fa89-443b-9617-276d11b8adee 00:39:12.440 --> 00:39:14.099 we hope to be able to expand NOTE Confidence: 0.784482503333333 58d90701-cec2-4f0f-aabd-67b1a5fd951e 00:39:14.099 --> 00:39:15.310 it in the future. NOTE Confidence: 0.784482503333333 08b5b898-4524-4c8b-81cd-6df0b40601fc 00:39:15.310 --> 00:39:17.806 So remember all those fire data sets out NOTE Confidence: 0.784482503333333 5c7731b3-c4c0-43a4-ac85-61822e01751d 00:39:17.806 --> 00:39:19.659 there depending on which one is used, NOTE Confidence: 0.784482503333333 8eb099be-b968-41e1-9a93-0f48f3cb763e 00:39:19.660 --> 00:39:21.395 which carries and taken incorrect NOTE Confidence: 0.784482503333333 42aa25ae-6309-49d4-b39f-66fbddc70f14 00:39:21.395 --> 00:39:23.130 or flat out wrong conclusions NOTE Confidence: 0.784482503333333 5b6af282-13d5-40e7-a73c-6635d9aea216 00:39:23.188 --> 00:39:24.900 could be drawn even if it's used NOTE Confidence: 0.784482503333333 a9ea57b1-12b1-403a-a4be-5ca436caf703 00:39:24.900 --> 00:39:26.075 correctly due to the differences NOTE Confidence: 0.784482503333333 2156eacd-e904-4a90-a591-504fdc8e2128 00:39:26.075 --> 00:39:27.597 in the fire datasets out there, NOTE Confidence: 0.784482503333333 9c7c7a09-a6aa-458e-b0ef-abe5b9d8bf39 00:39:27.600 --> 00:39:29.760 they're completeness and their time periods, NOTE Confidence: 0.784482503333333 2b37b2e2-a6a2-41a5-b30b-f79e7f06236a 00:39:29.760 --> 00:39:30.051 scientists, NOTE Confidence: 0.784482503333333 5d3e46d8-2d2c-4ded-9c91-d3169e5bd639 00:39:30.051 --> 00:39:31.797 the media and the public can NOTE Confidence: 0.784482503333333 049f9a66-0b19-41b7-a97d-5440c1161ab0 00:39:31.797 --> 00:39:32.670 come to different NOTE Confidence: 0.87776410625 dcdc896f-a76b-4e46-a198-d387bc90410a 00:39:32.722 --> 00:39:34.576 conclusions on fires and fire trends, NOTE Confidence: 0.87776410625 c8e1b7a0-5978-49d2-822a-cedec2e53ee2 00:39:34.580 --> 00:39:36.698 even if they do everything correctly, NOTE Confidence: 0.87776410625 6e71ebd8-a12a-4f58-94b0-e7b8cf110831 00:39:36.700 --> 00:39:38.554 we need to provide something consistent NOTE Confidence: 0.87776410625 0802a4eb-8bd4-49dd-a2ac-4a92c8215e99 00:39:38.554 --> 00:39:40.147 that allows anyone to compare NOTE Confidence: 0.87776410625 e0d4a56d-5f6a-403a-9dd9-f9e74a5d2bdb 00:39:40.147 --> 00:39:41.971 fires and fire trends in different NOTE Confidence: 0.87776410625 0e947b2a-dd98-48f5-a07a-5f2cfca4dee3 00:39:41.971 --> 00:39:44.040 areas across time and see the same NOTE Confidence: 0.87776410625 df1d7b53-fadd-4579-bd80-1b03cf08eaff 00:39:44.040 --> 00:39:45.420 results that a different person. NOTE Confidence: 0.87776410625 eceacc42-b1d5-4925-85ad-edb8c7b15156 00:39:45.420 --> 00:39:48.899 But by using our fire data set. NOTE Confidence: 0.87776410625 c5db3e06-f839-48b2-89f9-9d9ee1190763 00:39:48.900 --> 00:39:50.345 Along with one other consistent NOTE Confidence: 0.87776410625 bd41168f-2872-4d1b-ae1c-a7d795f86939 00:39:50.345 --> 00:39:52.291 data set for a more statistically NOTE Confidence: 0.87776410625 870a6282-1122-48fc-a2a5-0118ee43ed1c 00:39:52.291 --> 00:39:54.059 valid fire trend mapping, NOTE Confidence: 0.87776410625 c01f2dae-50ba-451c-8d4f-a32376d71f15 00:39:54.060 --> 00:39:56.100 we can ensure more consistent results NOTE Confidence: 0.87776410625 628415ce-1a24-464d-989c-abc5dd86c7a5 00:39:56.100 --> 00:39:58.499 for all users when analyzing fires. NOTE Confidence: 0.87776410625 d02938be-b34d-4e8f-8e96-e2ae028c0ee9 00:39:58.500 --> 00:39:59.826 The tool has two main sections, NOTE Confidence: 0.87776410625 d3c8fee9-314d-4df9-8e34-a4da05e0d537 00:39:59.830 --> 00:40:01.180 the 1st and most user-friendly NOTE Confidence: 0.87776410625 83beae58-bcfd-415b-b519-a0596f551c2b 00:40:01.180 --> 00:40:02.260 section for the public, NOTE Confidence: 0.87776410625 a2a38830-c740-435b-9493-498e23668105 00:40:02.260 --> 00:40:03.384 which I'm showing here, NOTE Confidence: 0.87776410625 106b9f25-49e7-4029-af3a-3563ed064ba0 00:40:03.384 --> 00:40:05.070 allows users to select an area NOTE Confidence: 0.87776410625 aa795adc-f4cb-478b-9adc-db25aa0b7b09 00:40:05.130 --> 00:40:06.798 of interest and looked at fires. NOTE Confidence: 0.87776410625 84fce1ab-dcfd-4bb8-a856-a122e543fb6d 00:40:06.800 --> 00:40:09.236 You can select by state vegetation types, NOTE Confidence: 0.87776410625 f49856eb-2a75-49a4-afec-a06d1c54af79 00:40:09.240 --> 00:40:10.608 fire types, land ownership, NOTE Confidence: 0.87776410625 4c1a0b4b-9079-4a12-b1b3-c322491c42c4 00:40:10.608 --> 00:40:11.976 and several other categories, NOTE Confidence: 0.87776410625 765a8f7a-5f41-4afb-8fa9-636f76f27855 00:40:11.980 --> 00:40:13.740 including the wildland urban NOTE Confidence: 0.87776410625 4f175940-0246-40d6-8e92-7d974dea5ddd 00:40:13.740 --> 00:40:15.060 interface or WUI, NOTE Confidence: 0.87776410625 c6fc1f0d-fdfb-414f-861b-929a95e02f7c 00:40:15.060 --> 00:40:17.020 which looks at wildland areas NOTE Confidence: 0.87776410625 8047a50c-8032-4d5d-90a3-fc26dd32ff35 00:40:17.020 --> 00:40:18.588 close to human populations. NOTE Confidence: 0.87776410625 1b634b90-633e-4915-8251-17e03a812e69 00:40:18.590 --> 00:40:20.420 The wood is a critical zone. NOTE Confidence: 0.87776410625 54dce8b0-5a5f-41aa-b138-cbebb210f36b 00:40:20.420 --> 00:40:22.877 As it should be our buffer to NOTE Confidence: 0.87776410625 0f3d270c-999f-4281-b8c1-b6e1a7d5d99f 00:40:22.877 --> 00:40:24.461 help protect populated areas NOTE Confidence: 0.87776410625 0e945158-2441-46cf-922c-38271b84224e 00:40:24.461 --> 00:40:26.297 from wildfires in wildlands. NOTE Confidence: 0.87776410625 c3b39f17-5ae7-49d6-b84d-285e9b2c48fd 00:40:26.300 --> 00:40:27.716 Currently I have the data filtered NOTE Confidence: 0.87776410625 9e2f3150-44bf-4cfe-ac8b-518aadb7fbef 00:40:27.716 --> 00:40:29.419 to show all the fires in Idaho. NOTE Confidence: 0.87776410625 a265060c-dd7f-4251-bc8e-bbdb454b8dfb 00:40:29.420 --> 00:40:31.820 The map on the left shows the full NOTE Confidence: 0.87776410625 0bf7fcbb-cf82-4a4a-92e1-454c60c24bb2 00:40:31.820 --> 00:40:33.787 fire boundary for any fire that NOTE Confidence: 0.87776410625 94eb19f6-d87b-4487-a342-c81f9ef89295 00:40:33.787 --> 00:40:35.417 even touches the filter data. NOTE Confidence: 0.87776410625 38914249-1ab5-4c64-8780-41431f5b6dd5 00:40:35.420 --> 00:40:37.499 In this case, our state of Idaho. NOTE Confidence: 0.87776410625 64d8f7eb-2a23-4ee4-9298-b62bad2c20c4 00:40:37.500 --> 00:40:38.784 As you can see, NOTE Confidence: 0.87776410625 43a29468-fcf9-4beb-9016-025003dd1f06 00:40:38.784 --> 00:40:40.068 some boundaries spill into NOTE Confidence: 0.87776410625 839cb80b-8347-4f5a-8715-5f5a79c2efec 00:40:40.068 --> 00:40:41.160 the surrounding states. NOTE Confidence: 0.87776410625 567cafd2-5417-4281-b870-3f0268cbc05c 00:40:41.160 --> 00:40:42.750 The statistics, on the other hand, NOTE Confidence: 0.87776410625 7e839722-6687-4f36-9ee9-7c9e81d19f3b 00:40:42.750 --> 00:40:45.014 the total and area burned across the top, NOTE Confidence: 0.87776410625 f3381efb-9576-4441-8d1b-c4dd4bb007da 00:40:45.020 --> 00:40:48.020 as well as the yearly and decato counts. NOTE Confidence: 0.87776410625 897bcdb2-0e98-428d-b099-d56c4f561761 00:40:48.020 --> 00:40:49.688 On the right side are for NOTE Confidence: 0.87776410625 f1d7ff43-bbb6-43ca-a613-97ed6417508d 00:40:49.688 --> 00:40:50.800 my filter data only. NOTE Confidence: 0.87776410625 d166fc6f-3274-43bf-aa7a-5580a52616e0 00:40:50.800 --> 00:40:53.299 In this case just those parts of NOTE Confidence: 0.87776410625 0ccf2d13-4d00-4f2c-9d3b-db8d5f326612 00:40:53.299 --> 00:40:55.869 the fire inside the state of Idaho. NOTE Confidence: 0.87776410625 ad31b1df-4067-4d34-a2a8-b298f2886622 00:40:55.870 --> 00:40:57.718 So what can we do with this tool? NOTE Confidence: 0.87776410625 e1b665d1-4730-48e9-b271-5c80b5a05a53 00:40:57.720 --> 00:41:00.100 While I can clear my filter and NOTE Confidence: 0.87776410625 51df413a-4870-4faa-a38f-932a4bc1ab1a 00:41:00.100 --> 00:41:01.740 select different filter settings, NOTE Confidence: 0.87776410625 a5caa4f8-648c-4e79-95dc-4fd778cb8ef8 00:41:01.740 --> 00:41:03.749 so I am interested in another region, NOTE Confidence: 0.87776410625 e651cc3a-6ddf-44ef-a2ef-bf7f11273220 00:41:03.750 --> 00:41:05.886 something more specific like Rocky Mount, NOTE Confidence: 0.87776410625 9c2096af-577b-4891-b3fb-f18811def0db 00:41:05.890 --> 00:41:08.455 Aspen vegetation and a specific NOTE Confidence: 0.87776410625 4ae75786-a570-489b-b178-489d27566e8f 00:41:08.455 --> 00:41:11.020 ecoregion like the Southern Rockies. NOTE Confidence: 0.87776410625 3bef4d69-7b11-4caf-87b7-f9f4294b5cde 00:41:11.020 --> 00:41:12.595 Ecoregions can be thought of NOTE Confidence: 0.87776410625 cbe6663e-5adb-4ae6-b51e-e4c5dfb76244 00:41:12.595 --> 00:41:13.855 areas of similar vegetation, NOTE Confidence: 0.87776410625 58b0369d-2919-400c-a8fe-929a80c0cf50 00:41:13.860 --> 00:41:15.416 soil, and climate types, NOTE Confidence: 0.87776410625 d21650de-af2f-48d8-ba6c-275127756f9a 00:41:15.416 --> 00:41:17.750 so when I apply the filter. NOTE Confidence: 0.87776410625 6fbc5469-e13c-4c66-b99b-96f76a0a7b21 00:41:17.750 --> 00:41:20.396 The maps and statistics are going NOTE Confidence: 0.87776410625 503d301e-0fab-45a8-948b-40d39b104469 00:41:20.396 --> 00:41:22.160 to automatically change and NOTE Confidence: 0.87776410625 7fed0cae-7332-4036-b9ee-481ca452e6ef 00:41:22.233 --> 00:41:24.328 zoom to the proper locations. NOTE Confidence: 0.834035339166667 da45a359-a4dc-48d9-bb56-8b22c2bd0c35 00:41:30.620 --> 00:41:33.356 I can hover over individual fires to get NOTE Confidence: 0.834035339166667 285fdb15-628a-4260-bca0-13257f269f18 00:41:33.356 --> 00:41:35.947 details like fire name and fire year. NOTE Confidence: 0.834035339166667 7564a809-121c-43c8-be0b-bc33a569b5e6 00:41:35.947 --> 00:41:38.461 I can look at specific statistics NOTE Confidence: 0.834035339166667 188339cc-cb9f-4059-969d-d7c8cfcf56b7 00:41:38.461 --> 00:41:40.389 over here on the right. NOTE Confidence: 0.834035339166667 98b36665-5770-4551-86e7-419484157093 00:41:40.390 --> 00:41:43.402 Looking at counts of fire and NOTE Confidence: 0.834035339166667 af3ebdab-a3d4-4ec9-92de-6a97669be399 00:41:43.402 --> 00:41:46.834 hectares burn and these are filtered. NOTE Confidence: 0.834035339166667 5783cbc3-0a9c-4bba-b82d-0aa2fdf60dbc 00:41:46.840 --> 00:41:50.840 By fire size so we can see how the fires. NOTE Confidence: 0.834035339166667 2e2749f8-993a-4e04-aad3-1cc21640ca19 00:41:50.840 --> 00:41:53.440 Numbers and size are changing. NOTE Confidence: 0.834035339166667 e1b366f1-a036-4283-823e-1fe86f83195d 00:41:53.440 --> 00:41:56.432 We can also look at a more aggregate NOTE Confidence: 0.834035339166667 458b30ab-9ed4-4ad6-8c8f-26212bfd21b6 00:41:56.432 --> 00:41:59.049 look of fire size by decades. NOTE Confidence: 0.834035339166667 bbcec5b6-cb18-44a0-a57b-3e2c4e5db332 00:41:59.050 --> 00:42:03.020 And see if that trend is going up or down. NOTE Confidence: 0.834035339166667 1206df36-5991-4b64-a599-c554f6454234 00:42:03.020 --> 00:42:04.228 As I said before, NOTE Confidence: 0.834035339166667 2b84a787-d286-4daa-a3ab-9644d46fdbb3 00:42:04.228 --> 00:42:06.616 we know our fire data is incomplete NOTE Confidence: 0.834035339166667 206312cd-3584-42eb-b250-178b6dcecabc 00:42:06.616 --> 00:42:09.155 pre 1984 when satellites first started NOTE Confidence: 0.834035339166667 c6f56d6b-bcde-4450-b3da-ab6a93a9f81a 00:42:09.155 --> 00:42:11.520 mapping fire boundaries as not all the NOTE Confidence: 0.834035339166667 68ed4303-762f-4b1f-bb29-160879b94d4c 00:42:11.520 --> 00:42:12.945 fire boundaries have been digitized. NOTE Confidence: 0.834035339166667 2c08e55c-cbfb-4602-a35f-18da1c84d656 00:42:12.950 --> 00:42:14.686 So if you really want to dive into NOTE Confidence: 0.834035339166667 766e3d4e-a767-45f2-913d-27cb2ec43b68 00:42:14.686 --> 00:42:15.928 some serious statistics with a NOTE Confidence: 0.834035339166667 462a2f5a-ade7-4128-9c07-621e2ef135f6 00:42:15.928 --> 00:42:17.440 more complete set of fire data, NOTE Confidence: 0.834035339166667 c21d191d-c6f4-49d1-a916-b56e8a7c9e43 00:42:17.440 --> 00:42:19.498 the second section of the WFTT allows NOTE Confidence: 0.834035339166667 258bd639-23ff-48dc-9453-a50bcdc32407 00:42:19.498 --> 00:42:21.640 you to look at scientifically valid NOTE Confidence: 0.834035339166667 3cef77ed-e14e-41cd-906c-32d70f5c35b6 00:42:21.640 --> 00:42:24.256 fire trends from 1984 to present using NOTE Confidence: 0.834035339166667 0c8fa46c-5401-4fc5-8cd6-99adc963e17f 00:42:24.256 --> 00:42:26.380 the monitoring trends and burn severity NOTE Confidence: 0.834035339166667 4413267b-879c-41ec-b707-5a5f59989191 00:42:26.444 --> 00:42:29.055 fire data set derived from satellite imagery, NOTE Confidence: 0.834035339166667 759e255d-d696-4dbe-9dc7-dabf5b31640a 00:42:29.060 --> 00:42:30.150 you can see whether the NOTE Confidence: 0.834035339166667 dee32124-85a5-4244-a638-4eff17d06b11 00:42:30.150 --> 00:42:31.240 fire train is going up, NOTE Confidence: 0.834035339166667 1fcd7dba-be60-4dbb-94f7-20c9ca89d15b 00:42:31.240 --> 00:42:32.832 down, or staying level. NOTE Confidence: 0.834035339166667 8b674ca2-4565-447c-92a8-76b2f4ebd6c4 00:42:32.832 --> 00:42:34.822 Whether that trend is significant, NOTE Confidence: 0.834035339166667 d024de70-131a-498f-ad43-8b6fd52996f0 00:42:34.830 --> 00:42:36.660 how much area within your NOTE Confidence: 0.834035339166667 047916e5-32e4-404c-86ea-81593fe5e823 00:42:36.660 --> 00:42:38.124 selected area has burned, NOTE Confidence: 0.834035339166667 05057f97-c63d-4cf5-a9ae-79794c1bcacb 00:42:38.130 --> 00:42:40.416 and how much of that is NOTE Confidence: 0.834035339166667 627e03f4-3cb3-4840-bddc-6a8d4e316d1f 00:42:40.416 --> 00:42:41.559 burned multiple times. NOTE Confidence: 0.834035339166667 c6f4da80-6153-4026-be22-9b03c7e39459 00:42:41.560 --> 00:42:42.670 In this example, NOTE Confidence: 0.834035339166667 9b399517-4d94-48a0-b413-b84e721b25b6 00:42:42.670 --> 00:42:45.260 I'm looking at wildfire trends in WUI NOTE Confidence: 0.834035339166667 94f47638-f575-4b11-8d68-a56f2101ff9e 00:42:45.335 --> 00:42:47.596 and non WUI areas of four states. NOTE Confidence: 0.834035339166667 ff2bd487-442b-44e2-9fb0-b270050fc22d 00:42:47.600 --> 00:42:49.343 There's a ton of detail and statistics NOTE Confidence: 0.834035339166667 985eccd7-950e-48ea-aa64-407684a63412 00:42:49.343 --> 00:42:51.148 here that I'm not going to go into, NOTE Confidence: 0.834035339166667 5bd548d5-d0a6-41a9-9fdb-b4bb9daa4826 00:42:51.150 --> 00:42:53.346 but by making this data public. NOTE Confidence: 0.834035339166667 7da4de66-6a27-45a0-9c19-e89e23662dd1 00:42:53.350 --> 00:42:54.658 We are allowing anyone, NOTE Confidence: 0.834035339166667 4be72706-e9c9-465c-809a-44ef67e0cd10 00:42:54.658 --> 00:42:56.620 scientist or reporter or interest in NOTE Confidence: 0.834035339166667 f8c1f7f3-0c6a-4098-935c-b2364287591d 00:42:56.683 --> 00:42:58.643 member of the public to see the same NOTE Confidence: 0.834035339166667 db76eaac-43f1-4d52-948f-bc03251b2a30 00:42:58.643 --> 00:43:00.776 data and come to the same conclusions. NOTE Confidence: 0.834035339166667 d29f5cb9-6509-4907-a56b-89c63cca1cdd 00:43:00.780 --> 00:43:02.950 So let's wrap things up because I've NOTE Confidence: 0.834035339166667 60661d59-cc90-444e-8f0d-4254b6564f45 00:43:02.950 --> 00:43:04.940 been far talking for far too long. NOTE Confidence: 0.834035339166667 3dee7d58-5453-4d2f-a7f1-b7b76a8ede3c 00:43:04.940 --> 00:43:06.536 So if you take anything away NOTE Confidence: 0.834035339166667 e2032181-38ab-49de-b215-7ba6d0d65a3e 00:43:06.536 --> 00:43:07.334 from this presentation, NOTE Confidence: 0.834035339166667 c404f506-8d93-4dff-bc22-ef65270c93f7 00:43:07.340 --> 00:43:09.120 I hope it's these points. NOTE Confidence: 0.834035339166667 5426e286-d6a3-4986-9cc4-1246e31c48df 00:43:09.120 --> 00:43:09.446 First, NOTE Confidence: 0.834035339166667 2bd5556e-7d95-44b0-a4f9-22a069b49fdd 00:43:09.446 --> 00:43:12.380 let's not make the same mistakes of the past. NOTE Confidence: 0.834035339166667 19025e41-f687-4102-9f4f-25f4f889f15e 00:43:12.380 --> 00:43:14.200 Many of you might have heard that NOTE Confidence: 0.834035339166667 ef700818-c1d6-4463-93f5-7ae6b16ae419 00:43:14.200 --> 00:43:15.727 are extreme fire suppression policies NOTE Confidence: 0.834035339166667 aa1400a5-80e4-4411-9868-6123516d4f2f 00:43:15.727 --> 00:43:18.312 in the early 1900s led to overgrowth NOTE Confidence: 0.834035339166667 73599605-1c7c-4e44-87c5-8313c6b27547 00:43:18.312 --> 00:43:19.864 in understories and forests, NOTE Confidence: 0.834035339166667 dd67ab5e-662f-4ba9-b0ca-55040dcd381f 00:43:19.870 --> 00:43:22.156 and that has led to some of the severe NOTE Confidence: 0.834035339166667 c176e259-a1d4-4f77-9ee6-af244a8b1502 00:43:22.156 --> 00:43:24.157 forest fires we are now experiencing. NOTE Confidence: 0.834035339166667 dc04109b-4dfd-4b10-803f-46a484bc39de 00:43:24.160 --> 00:43:25.870 I often wonder what mistakes we NOTE Confidence: 0.834035339166667 36582fd2-ce87-46f7-b1f3-add27f13de19 00:43:25.870 --> 00:43:27.777 are making now that we will look NOTE Confidence: 0.834035339166667 2682f3c6-992a-435d-ae83-a547f5f83cc1 00:43:27.777 --> 00:43:29.760 back on and wonder why we did them. NOTE Confidence: 0.834035339166667 88951940-0040-4e9d-ac1f-88beefab95ce 00:43:29.760 --> 00:43:30.442 Let's learn. NOTE Confidence: 0.834035339166667 ad137f12-7723-4174-84d5-0df220071861 00:43:30.442 --> 00:43:32.488 From our past and present by NOTE Confidence: 0.834035339166667 7dd6b69d-3742-4156-bf1d-162b8a3e276d 00:43:32.488 --> 00:43:34.650 making sure we record it properly. NOTE Confidence: 0.834035339166667 e671b0d5-e0f4-49ef-9eb2-495e7d1c9e7e 00:43:34.650 --> 00:43:37.092 Second long term data sets are NOTE Confidence: 0.834035339166667 e820c11e-15b3-449b-b12e-d1aad7cdaa0c 00:43:37.092 --> 00:43:37.906 extremely powerful. NOTE Confidence: 0.834035339166667 a8564ac0-5142-48ec-a1e2-ad2769dc717c 00:43:37.910 --> 00:43:39.998 They can teach us about our NOTE Confidence: 0.834035339166667 c2a1b6d4-d79b-4377-8b55-78d466668ef2 00:43:39.998 --> 00:43:41.862 planet's history and how humans NOTE Confidence: 0.834035339166667 294b1d83-52e3-4548-8f19-16e4dbafaa97 00:43:41.862 --> 00:43:43.470 have changed over time. NOTE Confidence: 0.834035339166667 4388b831-5fe9-4b45-afba-7ba878c96ca6 00:43:43.470 --> 00:43:45.594 Third context matters and I NOTE Confidence: 0.834035339166667 65867b74-c28a-446e-83fa-015a3c254ac1 00:43:45.594 --> 00:43:47.829 come to this again and again. NOTE Confidence: 0.834035339166667 986944c5-83d0-4425-9655-9437ecebba1e 00:43:47.830 --> 00:43:50.100 And this age of information NOTE Confidence: 0.834035339166667 5c00388b-41f2-4398-ad3a-4d8711cac8d0 00:43:50.100 --> 00:43:51.008 and misinformation. NOTE Confidence: 0.834035339166667 170e90fc-5b55-4f91-b7d0-f2fbcae13a2a 00:43:51.010 --> 00:43:52.438 It's important to understand NOTE Confidence: 0.834035339166667 9ff54350-a9b0-4578-862a-7ad6837c8ae3 00:43:52.438 --> 00:43:54.223 the details behind the data. NOTE Confidence: 0.834035339166667 aeb8292b-71f0-4beb-a106-8079bde63b12 00:43:54.230 --> 00:43:55.952 While it's easy to look at a NOTE Confidence: 0.834035339166667 99fb3aab-7a64-4d6c-bae7-241a9eb69cb6 00:43:55.952 --> 00:43:57.389 figure and accept it as truth, NOTE Confidence: 0.834035339166667 d7f8730a-4c90-445c-9c70-fc6545dd9211 00:43:57.390 --> 00:43:59.422 I hope I've given you a glimpse today NOTE Confidence: 0.834035339166667 92e0c93a-460e-4efa-b3c1-3d882bba553f 00:43:59.422 --> 00:44:01.500 at how long term data if misused. NOTE Confidence: 0.834035339166667 d1031577-9728-4daf-8efa-60f3ab23910f 00:44:01.500 --> 00:44:03.655 Can lead people to draw NOTE Confidence: 0.834035339166667 cc693641-0ddd-4815-a55f-12e1203a4fdb 00:44:03.655 --> 00:44:04.517 incorrect conclusions. NOTE Confidence: 0.834035339166667 e91751ed-aaa2-469c-84de-731b506b7a6d 00:44:04.520 --> 00:44:05.504 Understanding the data, NOTE Confidence: 0.834035339166667 c9fa37cb-298d-4607-a346-64e5677f573b 00:44:05.504 --> 00:44:06.816 how it was collected, NOTE Confidence: 0.834035339166667 57386250-b3b0-420f-9a4c-b25bf7823d83 00:44:06.820 --> 00:44:08.152 where it is strong and where NOTE Confidence: 0.834035339166667 f0ef0a85-411c-4bc0-abe4-94920cc8d47f 00:44:08.152 --> 00:44:09.702 it has issues is important in NOTE Confidence: 0.834035339166667 39eb5778-e768-4ecd-943a-5168965f318c 00:44:09.702 --> 00:44:10.926 understanding the bigger picture NOTE Confidence: 0.834035339166667 99dfa39f-357a-4cba-a5e2-8eb7d0e18928 00:44:10.926 --> 00:44:12.938 of what the data is telling you. NOTE Confidence: 0.834035339166667 05296e82-575a-425a-a9af-b94224534c23 00:44:12.940 --> 00:44:13.327 Finally, NOTE Confidence: 0.834035339166667 50d02876-f822-4ece-916a-3d791cdd0db9 00:44:13.327 --> 00:44:15.649 scientists all over the world are NOTE Confidence: 0.834035339166667 c9798e44-cc1a-4997-add2-5d37521071bf 00:44:15.649 --> 00:44:18.108 learning how to use interactive tools NOTE Confidence: 0.834035339166667 8b3636fa-e711-4172-acb3-3832d56627bf 00:44:18.108 --> 00:44:20.556 to make their work more engaging. NOTE Confidence: 0.772494345277778 880f5f90-c6bf-413c-bab7-d370822b0d2b 00:44:20.560 --> 00:44:22.462 Tools like the Lantree and exploration NOTE Confidence: 0.772494345277778 c9f4b62d-12e1-4f92-b4da-ee06b63122b5 00:44:22.462 --> 00:44:24.408 tool and wildland fire trends tool NOTE Confidence: 0.772494345277778 688613ca-4a3b-493c-8e98-3a100cd993b3 00:44:24.408 --> 00:44:26.280 are popping up everywhere right now, NOTE Confidence: 0.772494345277778 6c29b2bf-9248-40a7-b84c-d5bd5fce5a78 00:44:26.280 --> 00:44:28.120 allowing people to explore and NOTE Confidence: 0.772494345277778 a42343a6-29d2-425d-9581-2fbd57560885 00:44:28.120 --> 00:44:30.460 interact with data like never before. NOTE Confidence: 0.772494345277778 2ac75276-0478-479b-9aa2-d3642479757f 00:44:30.460 --> 00:44:32.458 Take advantage of these tools to NOTE Confidence: 0.772494345277778 a4a786e5-5cf7-49ad-a22d-9edf0d105eb4 00:44:32.458 --> 00:44:34.722 explore the world. Around you. NOTE Confidence: 0.772494345277778 b49fda0d-eb25-4938-bf44-f3424a1bb472 00:44:34.722 --> 00:44:38.508 It is truly a fascinating place. NOTE Confidence: 0.772494345277778 84b5abd7-82ea-4e54-b05d-7fa62c7fd6de 00:44:38.510 --> 00:44:40.792 They have far too many coauthors and NOTE Confidence: 0.772494345277778 9f38a51e-63cf-4c3c-915a-ec7bdf0b3a3c 00:44:40.792 --> 00:44:42.330 collaborators and funders to thank NOTE Confidence: 0.772494345277778 5289f0c7-387a-4d31-86d6-97afaa3ca6ed 00:44:42.330 --> 00:44:44.346 individually and just want to say a big NOTE Confidence: 0.772494345277778 98940924-7d14-4ea8-88ff-5d7c2a64616c 00:44:44.405 --> 00:44:46.295 thank you to all of them here for all NOTE Confidence: 0.772494345277778 035c7f83-5067-46dd-9fac-7f7872f021e8 00:44:46.295 --> 00:44:49.275 of your help and support over the years. NOTE Confidence: 0.772494345277778 3961d73f-8408-4cd1-8a38-15d4c02e386a 00:44:49.280 --> 00:44:52.160 Thanks for listening to me and being a dad, NOTE Confidence: 0.772494345277778 f424cb65-1e1f-4081-bb7a-ec63d3bccf69 00:44:52.160 --> 00:44:54.230 I have to finish with a bad dad joke NOTE Confidence: 0.772494345277778 4f467911-228a-4d6f-ba91-3c9337bfed0d 00:44:54.230 --> 00:44:56.388 and ask if there are any burning NOTE Confidence: 0.772494345277778 a2ab8039-acf6-46e9-ab4e-0d66bd5801cc 00:44:56.388 --> 00:44:57.920 questions anyone wants to ask. NOTE Confidence: 0.772494345277778 52c9c2e0-a7de-429c-9357-9f9ec3daf80d 00:44:57.920 --> 00:44:58.829 Thank you again. NOTE Confidence: 0.823539854285714 cca9d321-5b9a-401b-9f6f-6f974e968a5b 00:45:01.210 --> 00:45:04.367 Ah, thank you, Justin. That was great. NOTE Confidence: 0.823539854285714 2d67f8fb-d2de-456e-81b7-1127491ebe2f 00:45:04.370 --> 00:45:08.024 And I love the dad joke in there too. NOTE Confidence: 0.823539854285714 3298cc75-9f8f-4860-8a5d-0d2af6b31de1 00:45:08.030 --> 00:45:10.390 So yeah, a lot of great material covered. NOTE Confidence: 0.823539854285714 958096a7-03bf-422e-ba2d-7a5f28bcbf78 00:45:10.390 --> 00:45:11.926 I mean, I'm in California myself, NOTE Confidence: 0.823539854285714 6455fa1c-ef93-466a-8f80-739ee7c871c7 00:45:11.930 --> 00:45:14.114 so I certainly understand the importance NOTE Confidence: 0.823539854285714 e56bd2c3-7c29-4533-8d19-d14e97c75e3a 00:45:14.114 --> 00:45:16.728 of having this kind of data available. NOTE Confidence: 0.823539854285714 f18d5053-19bc-432c-b6f9-7bc174d2bdb1 00:45:16.730 --> 00:45:19.090 So just so everyone knows, NOTE Confidence: 0.823539854285714 31051161-efd4-4265-95c4-cec7f82aabd8 00:45:19.090 --> 00:45:21.666 I've been keeping track of all the questions. NOTE Confidence: 0.823539854285714 cd2b7dd3-38f0-48f4-9ff1-7bf1c8ccf3de 00:45:21.670 --> 00:45:24.250 So let me go through here. NOTE Confidence: 0.823539854285714 16a289f6-d6b4-4768-8431-30de2c75ac05 00:45:24.250 --> 00:45:26.690 Just a reminder, if you guys have any NOTE Confidence: 0.823539854285714 f5bcefe0-9996-4edf-9f21-5b6819f20fd6 00:45:26.690 --> 00:45:28.249 burning questions you want to ask, NOTE Confidence: 0.823539854285714 80410856-a618-4de3-8ea1-ae8e1f5d879a 00:45:28.250 --> 00:45:31.328 go ahead and click on the Q and A chat window. NOTE Confidence: 0.823539854285714 e9cbfa77-b967-4b5d-87ee-84d702759de8 00:45:31.330 --> 00:45:32.738 It's that little question NOTE Confidence: 0.823539854285714 0f1e9fce-22c5-45e3-8e1e-b4963dada0ce 00:45:32.738 --> 00:45:34.850 Mark icon in the upper right. NOTE Confidence: 0.823539854285714 045f206e-36fa-45e3-a1ac-a3e53ed7a862 00:45:34.850 --> 00:45:38.331 All right, so let me scroll up here, Justin. NOTE Confidence: 0.823539854285714 ac0eb85d-41cb-4db7-9cfd-15d89c1f5bbd 00:45:38.331 --> 00:45:43.830 The first one, this one came in from Allison. NOTE Confidence: 0.823539854285714 c7836148-207b-4e4a-974f-4a994201f6ca 00:45:43.830 --> 00:45:46.746 Looks like she's with BLM, Allison says. NOTE Confidence: 0.823539854285714 3c66870b-0b83-44aa-82a1-c65bd5a888fd 00:45:46.746 --> 00:45:49.134 I managed 20 years of treatment NOTE Confidence: 0.823539854285714 7b03df44-a686-4599-b616-3dad776a3ca0 00:45:49.134 --> 00:45:51.308 monitoring data from Central Oregon. NOTE Confidence: 0.823539854285714 6dda8a39-c7fc-49e4-8eb8-efb3f7f42f9d 00:45:51.310 --> 00:45:53.086 How may I add this data NOTE Confidence: 0.823539854285714 2751863c-6772-4c3d-8291-8473958a0e54 00:45:53.086 --> 00:45:54.270 set into your database? NOTE Confidence: 0.823539854285714 58d99c29-603f-4605-8b26-253198a12742 00:45:54.270 --> 00:45:56.180 And she does provide an NOTE Confidence: 0.823539854285714 9520ea78-0695-409e-a96e-23907f1f3137 00:45:56.180 --> 00:45:58.690 email that I can pass along. NOTE Confidence: 0.823539854285714 fb91ecba-ac56-4ac5-9934-975b8cae0c4c 00:45:58.690 --> 00:45:59.227 Yeah. NOTE Confidence: 0.823539854285714 4e46c428-2331-47e6-b835-a4a269bb6cb2 00:45:59.227 --> 00:46:00.838 Excellent question and NOTE Confidence: 0.823539854285714 979c7676-41aa-4db4-86b1-a0fc9016b76b 00:46:00.838 --> 00:46:03.523 absolutely reach out to us, NOTE Confidence: 0.823539854285714 7bee0c06-478b-4435-91c2-d86f986546a6 00:46:03.530 --> 00:46:05.308 you can reach out to myself and NOTE Confidence: 0.823539854285714 3c38cfa0-f605-45fd-94a6-b7406793f78b 00:46:05.308 --> 00:46:07.378 I will put you in in touch with NOTE Confidence: 0.823539854285714 399724d0-646a-40cb-980a-8a9c42ef2fa9 00:46:07.378 --> 00:46:09.169 the rest of the team as well. NOTE Confidence: 0.823539854285714 6444c328-1337-4cd5-a451-926b5367d393 00:46:09.170 --> 00:46:11.492 And and I guess it depends on the kind NOTE Confidence: 0.823539854285714 55e1bca7-7e71-4b67-b979-f1fc693a0f83 00:46:11.492 --> 00:46:13.889 of monitoring data that it is a little NOTE Confidence: 0.823539854285714 05a2aa2a-34aa-4221-b689-b3397fc318e9 00:46:13.889 --> 00:46:16.859 bit if it's treatment based monitoring data, NOTE Confidence: 0.823539854285714 1d6a1954-80f7-47f2-8bd7-78eeca5b9178 00:46:16.860 --> 00:46:17.992 we're going to associate NOTE Confidence: 0.823539854285714 7765976e-d02e-403e-aa72-dad611c0eaec 00:46:17.992 --> 00:46:19.124 it with the treatments. NOTE Confidence: 0.823539854285714 a6c5cc8c-f2bc-4ddf-9625-46c08add73ab 00:46:19.130 --> 00:46:21.209 If it's other kinds of monitoring data, NOTE Confidence: 0.823539854285714 b61b0450-1910-4209-ad22-5733b9c8ee15 00:46:21.210 --> 00:46:23.121 we'll work with you to try to NOTE Confidence: 0.823539854285714 2f4a1127-6387-434d-bbb3-f2c4f9ab0989 00:46:23.121 --> 00:46:25.363 provide that data as part of the NOTE Confidence: 0.823539854285714 1ecc2e70-9b54-4933-9fc5-889b47d48098 00:46:25.363 --> 00:46:26.727 land treatment exploration tool. NOTE Confidence: 0.808369384545454 fc44d5da-9e7f-4144-823c-c53e4779e580 00:46:30.150 --> 00:46:31.190 OK, great. And Justin, NOTE Confidence: 0.808369384545454 e561332f-e9fb-4ca2-b13e-4c85cf4f4a25 00:46:31.190 --> 00:46:33.070 I went ahead and Allison as well, NOTE Confidence: 0.808369384545454 2e4d09fe-1e7e-4239-b37d-9ec4fcc6ecdf 00:46:33.070 --> 00:46:35.122 I put your contact information in NOTE Confidence: 0.808369384545454 7af5b554-2dcb-4376-be78-fdb3add1d0bb 00:46:35.122 --> 00:46:37.918 a reply to her and that's obviously NOTE Confidence: 0.808369384545454 f8e287d5-36e5-45ff-98b7-f16771228741 00:46:37.918 --> 00:46:40.624 available for everyone else as well. NOTE Confidence: 0.808369384545454 a387ed32-dc81-401c-a892-380222550551 00:46:40.630 --> 00:46:44.074 It's to Justins USGS staff profile NOTE Confidence: 0.808369384545454 a27c9fd7-0df4-46dd-8417-d7f2166d7b84 00:46:44.074 --> 00:46:47.840 with his contact info there. OK, great. NOTE Confidence: 0.808369384545454 21644aa8-67c0-4c59-98d1-59020c536079 00:46:47.840 --> 00:46:50.465 So the next one that came in, NOTE Confidence: 0.808369384545454 58c5fa5d-85f4-4b2f-a245-18b6fe051f8f 00:46:50.470 --> 00:46:52.828 I actually took care of this. NOTE Confidence: 0.808369384545454 f24a6165-39f4-4444-87e7-b4a2920b979c 00:46:52.830 --> 00:46:54.762 Someone asked if this talk will be NOTE Confidence: 0.808369384545454 8c8a2f59-dfb4-4beb-8df6-0e672489c6e4 00:46:54.762 --> 00:46:56.908 available as a recording to view later NOTE Confidence: 0.808369384545454 c742f3d3-ebbe-4432-9b2d-687c8216a3ea 00:46:56.908 --> 00:46:59.030 and share with others who missed it. NOTE Confidence: 0.808369384545454 f54388d1-99ba-450d-9e8e-56155f236db0 00:46:59.030 --> 00:47:00.976 And just so everyone out there hears, NOTE Confidence: 0.808369384545454 1bcfec1b-6917-4fb6-8e1f-02c9a48aaf8c 00:47:00.980 --> 00:47:03.170 yes, it will be available on NOTE Confidence: 0.808369384545454 38d31144-a021-4c0e-bdd7-d3f238adc848 00:47:03.170 --> 00:47:04.630 our public lecture website. NOTE Confidence: 0.808369384545454 2a67cf50-d8b0-409f-999d-e96ddd0cd555 00:47:04.630 --> 00:47:06.268 It will take about a week for NOTE Confidence: 0.808369384545454 7430e56d-aef5-46fd-973c-ef0544659cea 00:47:06.268 --> 00:47:07.630 us to get it posted, NOTE Confidence: 0.808369384545454 130ce55b-8748-4679-a8e2-d80a633586e0 00:47:07.630 --> 00:47:10.358 but it'll be on there in the I'll NOTE Confidence: 0.808369384545454 3b501834-4b1a-4a3b-8abb-e34c44463813 00:47:10.358 --> 00:47:12.374 give the public lecture website NOTE Confidence: 0.808369384545454 36e92d4e-f5de-4e77-ad7d-639a29549239 00:47:12.374 --> 00:47:15.279 link at the end of the talk. NOTE Confidence: 0.808369384545454 6ae895c6-e16b-40ef-8d90-518c93e7a237 00:47:15.280 --> 00:47:16.044 Let's see. NOTE Confidence: 0.808369384545454 545e3506-bfe4-4e86-ba25-cab519a068f7 00:47:16.044 --> 00:47:19.100 Here's the one that came in from anonymous. NOTE Confidence: 0.808369384545454 be3213f3-9c1d-4c20-b7cb-7ee1be3beba8 00:47:19.100 --> 00:47:21.275 They're asking when you correct NOTE Confidence: 0.808369384545454 b075dd96-d845-4d0c-9c1d-e4e393cdbcaa 00:47:21.275 --> 00:47:23.015 errors from other sources. NOTE Confidence: 0.808369384545454 275b5dcf-6a59-45cb-a102-7474dbfc8c3b 00:47:23.020 --> 00:47:24.800 Do you communicate those errors NOTE Confidence: 0.808369384545454 ccbc95d7-4b3b-4f47-96b5-28ba9fbefe93 00:47:24.800 --> 00:47:26.933 back to the original provider so NOTE Confidence: 0.808369384545454 65c412ae-4a3a-49ee-8e22-62d909acffd9 00:47:26.933 --> 00:47:28.928 they can improve their data as well? NOTE Confidence: 0.808369384545454 37d92e06-6850-4771-8fe0-ba722a6e5a75 00:47:28.930 --> 00:47:31.690 Yes, and that's another excellent question. NOTE Confidence: 0.808369384545454 b1921b38-70b7-40f3-baf4-530459c1995e 00:47:31.690 --> 00:47:33.502 We absolutely do that. NOTE Confidence: 0.808369384545454 8ffd1db1-194c-4ae9-8511-be28fa255d4d 00:47:33.502 --> 00:47:36.728 And so errors are just a part NOTE Confidence: 0.808369384545454 c6e3720d-1a27-44af-bf96-5f851622e518 00:47:36.728 --> 00:47:38.738 of any big data set. NOTE Confidence: 0.808369384545454 27869ce7-9bf8-479f-b067-99c5e0e5f352 00:47:38.740 --> 00:47:38.996 There's, NOTE Confidence: 0.808369384545454 a13cb0e2-243e-4398-b6ac-d0bb7b94775a 00:47:38.996 --> 00:47:41.044 there's just no way to get around them. NOTE Confidence: 0.808369384545454 956e30b7-8a09-4c63-8819-b8e7d7d84a88 00:47:41.050 --> 00:47:41.971 And so, yeah, NOTE Confidence: 0.808369384545454 05c1801a-4c22-484c-bd9a-5e6e1b8a212c 00:47:41.971 --> 00:47:43.813 we're working really hard to communicate NOTE Confidence: 0.808369384545454 faffcb9f-49c6-4ee5-87c6-f5285808615d 00:47:43.813 --> 00:47:45.852 the errors back to the original data NOTE Confidence: 0.808369384545454 5311aabe-0002-43a0-8bef-46581612245b 00:47:45.852 --> 00:47:47.930 set provider so they can be corrected. NOTE Confidence: 0.808369384545454 840b38ec-2be8-45d3-8fcb-5d25947e9831 00:47:47.930 --> 00:47:50.144 And I'll give you a great example of that. NOTE Confidence: 0.808369384545454 bb95dc26-145a-4c56-97ae-3c9ab5dbcafd 00:47:50.150 --> 00:47:52.474 Some of the fires in the fire NOTE Confidence: 0.808369384545454 d44804ff-80e8-4652-a870-771054148b6a 00:47:52.474 --> 00:47:54.070 datasets are perfect circles, NOTE Confidence: 0.808369384545454 59c37b0b-eff9-489c-b932-0bde46171143 00:47:54.070 --> 00:47:55.450 and anyone who knows anything NOTE Confidence: 0.808369384545454 2dad21db-1770-4a47-b26b-c275b032b53f 00:47:55.450 --> 00:47:56.554 about wildfires knows fires NOTE Confidence: 0.808369384545454 8179a5f8-e4b9-4643-8bba-93fff9cb001a 00:47:56.554 --> 00:47:57.929 don't burn in perfect circles. NOTE Confidence: 0.808369384545454 de435743-21a2-4845-81c1-e18bfced2186 00:47:57.930 --> 00:47:59.102 So what somebody did. NOTE Confidence: 0.808369384545454 d3ecb1af-200b-4db1-9baf-682cb707a9f0 00:47:59.102 --> 00:48:01.166 Was they took a centroid point of NOTE Confidence: 0.808369384545454 7ad42315-b0ed-47cd-8498-b6826d4aa847 00:48:01.166 --> 00:48:02.902 the fire and buffered it by the NOTE Confidence: 0.808369384545454 01f3b850-4af6-41a0-b713-85bc36e68a3b 00:48:02.902 --> 00:48:04.534 area that was reported to have NOTE Confidence: 0.808369384545454 7060a19f-ad4b-4558-83bc-d3ac2d8f0d0a 00:48:04.534 --> 00:48:06.432 burned and turned it into a circle. NOTE Confidence: 0.808369384545454 21e0dfd7-240d-498c-9923-a8fbad6afbf5 00:48:06.432 --> 00:48:08.336 And so we have flagged all those NOTE Confidence: 0.808369384545454 22a89eff-95ec-4ea4-a9bb-2b6506b4fc3b 00:48:08.336 --> 00:48:10.176 circle fires and we're working with NOTE Confidence: 0.808369384545454 ae485821-d874-464a-b377-abdce1b0dde0 00:48:10.176 --> 00:48:11.721 the original agencies because some NOTE Confidence: 0.808369384545454 35ba589c-502a-4e70-9b16-11c2d698174c 00:48:11.721 --> 00:48:13.713 of those real fire polygons do exist NOTE Confidence: 0.808369384545454 d1085b36-a38d-4408-a68d-ae6b3f8b2c00 00:48:13.713 --> 00:48:15.437 and we're trying to get them corrected, NOTE Confidence: 0.808369384545454 9e918d56-1974-4145-a501-cb3535969e86 00:48:15.437 --> 00:48:16.900 not only in our own data set, NOTE Confidence: 0.808369384545454 9264da10-26cd-4c0e-9bac-003a44c4f771 00:48:16.900 --> 00:48:18.965 but the original data sets as well. NOTE Confidence: 0.871499053076923 292e15bc-cebd-4c91-819b-b6f69596a5ec 00:48:21.340 --> 00:48:23.710 Be great. It looks like we NOTE Confidence: 0.871499053076923 4f3b54e4-f9e8-4f49-9bf8-f5c838423a77 00:48:23.710 --> 00:48:26.639 maybe have one or two more here. NOTE Confidence: 0.871499053076923 bac9bb0d-c955-48f1-a21d-be94bb665ef3 00:48:26.640 --> 00:48:28.640 I think this one may have been covered. NOTE Confidence: 0.871499053076923 118157e9-5e1a-40a9-b482-11b5c27174f5 00:48:28.640 --> 00:48:30.831 Does the USGS have long term data NOTE Confidence: 0.871499053076923 129e797e-c964-403a-83e5-1b3fcda28af0 00:48:30.831 --> 00:48:32.973 sets like what you've shown for NOTE Confidence: 0.871499053076923 3ea97709-8385-4204-8a6a-15b9573f6427 00:48:32.973 --> 00:48:35.235 areas outside of the United States? NOTE Confidence: 0.849599118 643aa7bd-50ac-4b56-9dc6-86c1403fecd4 00:48:37.690 --> 00:48:39.810 For some things we do, NOTE Confidence: 0.849599118 eabdf123-a529-474f-ba89-0c9501469f80 00:48:39.810 --> 00:48:41.088 and for some things we don't. NOTE Confidence: 0.849599118 90d6b3d8-21b1-4cd7-b850-0daa6f820908 00:48:41.090 --> 00:48:42.522 And so it's gonna depend on the kind NOTE Confidence: 0.849599118 b213ab8b-9415-4999-aba2-142dd3b447ee 00:48:42.522 --> 00:48:43.988 of data that you're interested in. NOTE Confidence: 0.849599118 ae66589a-36a4-4ab3-b4f4-9d925b39b8bf 00:48:43.990 --> 00:48:45.908 We are the United States Geological Survey, NOTE Confidence: 0.849599118 59bdb9b2-e025-4be2-8c8c-ba914c265003 00:48:45.910 --> 00:48:48.926 so we are mostly focused on the US. NOTE Confidence: 0.849599118 8bc680d2-eae7-4a86-ad6c-6a4a97b699ca 00:48:48.930 --> 00:48:51.630 But for some things we do have long term NOTE Confidence: 0.849599118 8857f2f4-4c59-4492-a620-0f2b884f2fe8 00:48:51.630 --> 00:48:54.604 data sets for things outside the US as well, NOTE Confidence: 0.849599118 ac359f8b-0af6-4517-bcad-8749e9a046cc 00:48:54.610 --> 00:48:57.683 but it's gonna depend on exactly what NOTE Confidence: 0.849599118 13458437-bd0c-428e-8d5b-85b86d3d4f0e 00:48:57.683 --> 00:48:59.989 you're interested in looking for. NOTE Confidence: 0.849599118 4358fd31-99db-4c3b-8e46-268a512a3e0d 00:48:59.990 --> 00:49:01.198 OK, great. Thank you. NOTE Confidence: 0.849599118 90f6526d-b8f3-43e0-a9ea-f45d9333cab1 00:49:01.198 --> 00:49:03.010 And it looks like this might NOTE Confidence: 0.849599118 21877a2a-2ee6-4888-95cd-7eb0ffadc112 00:49:03.071 --> 00:49:04.336 be the last one here, NOTE Confidence: 0.849599118 d3ca82fe-12f4-4da5-87c8-70b8cde6dbbc 00:49:04.340 --> 00:49:07.164 a bit of a comment and a question. NOTE Confidence: 0.849599118 4dd19138-5bce-422f-a549-953a7d0fae73 00:49:07.170 --> 00:49:11.244 Anonymous says that 1910 fire was huge. NOTE Confidence: 0.849599118 7ebec9a1-c44f-4aa2-be10-17ac0a91fd7a 00:49:11.250 --> 00:49:14.688 Could something like that happen again? NOTE Confidence: 0.849599118 438f29ed-cf0f-4ad2-852e-0b4c1054add6 00:49:14.690 --> 00:49:18.456 Uh. You would think now that it couldn't NOTE Confidence: 0.849599118 e295603c-8db2-45d3-8175-3d7f66838051 00:49:18.456 --> 00:49:21.128 because we have now a better communication, NOTE Confidence: 0.849599118 87f21c11-9db4-4401-8588-eb84fc2dd52a 00:49:21.130 --> 00:49:24.230 better ability to fight fires. NOTE Confidence: 0.849599118 c5159ced-7e96-4ab6-a125-d671015aae96 00:49:24.230 --> 00:49:28.406 And you know better ways of controlling them. NOTE Confidence: 0.849599118 7cd0ddf1-9636-415d-8fd0-942c0dec8cc8 00:49:28.410 --> 00:49:32.766 But we do get many large out of NOTE Confidence: 0.849599118 63de6d22-a3f3-4872-b16f-6708b615e30d 00:49:32.766 --> 00:49:35.356 control fires that are extremely NOTE Confidence: 0.849599118 6d250054-3a3c-45bd-88bc-49606f027f4b 00:49:35.356 --> 00:49:37.780 dangerous and deadly and burn. NOTE Confidence: 0.849599118 6e2816f9-82af-4dfd-9be9-89b5260a4ae5 00:49:37.780 --> 00:49:38.629 Hundreds of thousands, NOTE Confidence: 0.849599118 cca5f98b-6f1f-4b1d-8753-f521db2a651e 00:49:38.629 --> 00:49:40.046 if not millions, of acres, NOTE Confidence: 0.849599118 45e33f3a-8ace-4b97-b332-aa0288b2bf9c 00:49:40.046 --> 00:49:42.027 and you can see that in places NOTE Confidence: 0.849599118 465f73f3-66c2-4048-9936-e18e1230a967 00:49:42.027 --> 00:49:43.958 like California in particular, NOTE Confidence: 0.849599118 ff3a3464-f47a-4e20-93a9-58077b6f333c 00:49:43.960 --> 00:49:46.354 where we hear about these large fires NOTE Confidence: 0.849599118 e843972a-56dd-4ad5-ad27-5e0710f9adeb 00:49:46.360 --> 00:49:48.508 burning through and destroying whole towns, NOTE Confidence: 0.849599118 3519581d-698a-4a6b-88be-32345236c12a 00:49:48.510 --> 00:49:51.220 unfortunately, and killing many people. NOTE Confidence: 0.849599118 ac8d4537-3e22-4019-a45d-6ca47b5ea5d3 00:49:51.220 --> 00:49:53.932 And so maybe a 3,000,000 acre NOTE Confidence: 0.849599118 2b4147e3-c379-471e-a1f8-8cd51d4c52d6 00:49:53.932 --> 00:49:56.939 fire isn't going to exist again. NOTE Confidence: 0.849599118 6b1fdc2e-a76a-4873-b2a6-0e9aa1f77cb0 00:49:56.940 --> 00:49:58.071 But you know, NOTE Confidence: 0.849599118 98780e35-e6b9-4433-9998-263a8af21525 00:49:58.071 --> 00:50:00.333 if we have an extremely severe NOTE Confidence: 0.849599118 0eaa1aa4-de2f-4d10-adec-44056325c445 00:50:00.333 --> 00:50:01.659 drought in one year, NOTE Confidence: 0.849599118 98518220-393a-44e0-b25e-6b88055eff5a 00:50:01.660 --> 00:50:03.628 as we often have or you know the NOTE Confidence: 0.849599118 d3c6edf9-b927-49a3-a2f2-47bc9ca87ae2 00:50:03.628 --> 00:50:05.628 entire West is in a drought right now. NOTE Confidence: 0.849599118 7390df35-73db-4d7a-8803-6899397bc49f 00:50:05.630 --> 00:50:07.046 And so we're seeing some of NOTE Confidence: 0.849599118 b44f7214-bdb9-4fe4-88df-96dfa0392950 00:50:07.046 --> 00:50:08.510 those effects of these big fires. NOTE Confidence: 0.849599118 1da50acb-a9a2-4a26-b381-83304ada3ea6 00:50:08.510 --> 00:50:10.054 So I'm not going to say it's impossible, NOTE Confidence: 0.849599118 ec116934-2abd-477c-9533-e8f8b71a5633 00:50:10.060 --> 00:50:13.196 it could happen again at some point. NOTE Confidence: 0.849599118 76c81d1f-5185-4727-85d2-adbdafdef9e2 00:50:13.200 --> 00:50:15.180 It's just unlikely because we're better NOTE Confidence: 0.849599118 6729e594-3efc-4bfa-87c1-fc7959cb1b73 00:50:15.180 --> 00:50:17.379 prepared to battle these large fires now. NOTE Confidence: 0.752059166714286 0266e140-3304-4032-a98b-21bc08e21d3f 00:50:19.600 --> 00:50:22.939 One more did come in on this NOTE Confidence: 0.752059166714286 cfc64d37-1232-4cfb-a05f-32cf272f3662 00:50:22.939 --> 00:50:26.000 person says living in an WUI area. NOTE Confidence: 0.752059166714286 cf6e8a6e-b159-4ffc-90cd-d178fb76a262 00:50:26.000 --> 00:50:27.960 We received multiple wildland NOTE Confidence: 0.752059166714286 ef80eb6d-f0ef-4119-b403-864b6e2c87d4 00:50:27.960 --> 00:50:29.920 fire warnings from NWS. NOTE Confidence: 0.752059166714286 53f19608-13b7-46f4-9453-4778f5ed80e4 00:50:29.920 --> 00:50:32.405 How can we better assess how alarmed NOTE Confidence: 0.752059166714286 e749814e-2870-4ae1-ad4e-64694a73f966 00:50:32.405 --> 00:50:35.369 to be when these alerts are issued? NOTE Confidence: 0.752059166714286 0db00125-5abf-48b9-b746-a6898a11a52f 00:50:35.370 --> 00:50:37.572 It's it's the question that I'm NOTE Confidence: 0.752059166714286 8be55668-8b55-4bdf-a15b-5c4c9b599730 00:50:37.572 --> 00:50:40.090 not gonna be good at answering. NOTE Confidence: 0.752059166714286 31ed80de-b3b5-4a79-beb1-4a0a0a39c90a 00:50:40.090 --> 00:50:42.454 I you should always take those NOTE Confidence: 0.752059166714286 ab247d19-26d4-44c9-9fea-ad28d4780284 00:50:42.454 --> 00:50:43.636 fire warnings seriously, NOTE Confidence: 0.752059166714286 33752344-b84e-4bf4-b7b4-3b551d09c74f 00:50:43.640 --> 00:50:46.152 mostly because fire literally NOTE Confidence: 0.752059166714286 f397c823-80d4-49f9-820f-33a9480de554 00:50:46.152 --> 00:50:48.664 creates its own weather, NOTE Confidence: 0.752059166714286 99956ab1-eeda-4a32-97ae-abdb53ce6085 00:50:48.670 --> 00:50:51.325 so a big wildfire will create its own wind, NOTE Confidence: 0.752059166714286 d7d908a5-e5e0-41d8-878b-bc1c32c2b5d3 00:50:51.330 --> 00:50:54.288 will generate its own weather patterns, NOTE Confidence: 0.752059166714286 4eae3271-151a-48ca-9793-70aadd9e70e4 00:50:54.290 --> 00:50:57.090 and can become extremely unpredictable NOTE Confidence: 0.752059166714286 c95ba34f-013d-4048-a745-576106a8ec12 00:50:57.090 --> 00:50:59.890 and very difficult to control. NOTE Confidence: 0.752059166714286 744d2f31-89de-4781-a13c-1f8d0d21fbee 00:50:59.890 --> 00:51:01.455 And they give those warnings NOTE Confidence: 0.752059166714286 411f73ef-2d95-4b38-83de-4253aa5330e9 00:51:01.455 --> 00:51:03.020 because there's a chance that NOTE Confidence: 0.752059166714286 be56d1b3-2f17-4566-9c8a-b5c732bbd1ff 00:51:03.076 --> 00:51:04.750 it could burn into those areas. NOTE Confidence: 0.752059166714286 f4d17159-957f-4496-b7ac-3a25dcc8583e 00:51:04.750 --> 00:51:07.594 So I would say you always should take them NOTE Confidence: 0.752059166714286 ac4398f4-6d4f-4f1d-86d8-f1931605309d 00:51:07.594 --> 00:51:10.106 seriously when they give you those warnings. NOTE Confidence: 0.752059166714286 cdd440c1-9f2c-4acd-9e30-62583e14f1fa 00:51:10.110 --> 00:51:12.454 And the reason we have the WUI and NOTE Confidence: 0.752059166714286 5b30e0f4-811c-48aa-9658-3330a44ce83e 00:51:12.454 --> 00:51:14.584 they talk about those defensible zones NOTE Confidence: 0.752059166714286 e16f8d4b-7575-4770-8f42-f605d17a761c 00:51:14.584 --> 00:51:17.539 is so that you can protect your house NOTE Confidence: 0.752059166714286 b83a404d-8246-4525-a93b-27450253b0c6 00:51:17.539 --> 00:51:19.926 from the wildfires as best you can. NOTE Confidence: 0.752059166714286 89ea477d-5def-4711-8f92-9221f6b58076 00:51:19.930 --> 00:51:22.024 So I'm definitely not an expert NOTE Confidence: 0.752059166714286 f0989be0-a9d8-4b89-bb1e-6b6c2955fba3 00:51:22.024 --> 00:51:24.470 on WUIs or those fire warnings, NOTE Confidence: 0.752059166714286 8b178a44-a7c2-4d1c-9101-360e291c7140 00:51:24.470 --> 00:51:26.210 but my recommendation would be NOTE Confidence: 0.752059166714286 b3010eff-3fd8-4840-935a-a445ec3c7cdb 00:51:26.210 --> 00:51:28.385 to always take them seriously to NOTE Confidence: 0.752059166714286 32a600d5-0c5d-410c-a490-6c7b0144c658 00:51:28.385 --> 00:51:30.270 protect yourself first and foremost, NOTE Confidence: 0.752059166714286 94d89287-6343-4273-bf03-875b58eed872 00:51:30.270 --> 00:51:31.478 but also your property. NOTE Confidence: 0.837659985714286 e4c1242f-e7bb-461e-8342-417b2462a4b0 00:51:33.740 --> 00:51:35.308 Absolutely good. NOTE Confidence: 0.837659985714286 4cebb0ae-47b6-402f-ab3f-c4cabf18b308 00:51:35.308 --> 00:51:39.228 Another question just came in. NOTE Confidence: 0.837659985714286 e8f4f935-0139-4026-9be8-ddca4d2fb10e 00:51:39.230 --> 00:51:42.890 We go here? Addison asks. NOTE Confidence: 0.837659985714286 45d589e6-2ab6-4d68-81f5-20cb05e0ad2a 00:51:42.890 --> 00:51:44.710 Do you have any suggestions NOTE Confidence: 0.837659985714286 9d196971-bb88-48f1-9134-4642acf2385c 00:51:44.710 --> 00:51:46.530 for people managing data at NOTE Confidence: 0.837659985714286 046190a6-74a7-4cd2-8642-b73fb4b89277 00:51:46.600 --> 00:51:48.190 small research stations? NOTE Confidence: 0.837659985714286 3c67846c-175b-43bc-ab02-24a126754998 00:51:48.190 --> 00:51:49.954 What do you think are the most NOTE Confidence: 0.837659985714286 2ee98b8f-9f89-4c67-97a9-78ebe89ca6ae 00:51:49.954 --> 00:51:51.693 important things to keep in mind so NOTE Confidence: 0.837659985714286 87beb1ae-bc66-4085-8149-fa120f15021b 00:51:51.693 --> 00:51:53.440 data can be useful to multiple users? NOTE Confidence: 0.73824075 ee6b5e2b-5e15-4339-8300-6663a19a2459 00:51:55.860 --> 00:51:58.430 It's another excellent question and. NOTE Confidence: 0.936844128181818 616e20fe-fd72-4d8c-9b1c-fac085f404d8 00:52:00.460 --> 00:52:02.075 I think the important thing NOTE Confidence: 0.936844128181818 81e5c2c2-d53f-443d-9513-548c0b6bee08 00:52:02.075 --> 00:52:04.260 is to reach out to others, NOTE Confidence: 0.936844128181818 f01e29fc-a5b5-4050-bdc8-1713799483e2 00:52:04.260 --> 00:52:05.940 to see what others are collecting, NOTE Confidence: 0.936844128181818 445a33ed-fa20-4319-93b4-6d5d8e6aa82c 00:52:05.940 --> 00:52:07.613 and so this is something that we NOTE Confidence: 0.936844128181818 5265f001-8209-43cd-bb71-16c9cd40c4af 00:52:07.613 --> 00:52:09.620 do for the wildland fire dataset. NOTE Confidence: 0.936844128181818 d6fa7cfe-f2ee-4ae9-aa92-842f7cb9ff49 00:52:09.620 --> 00:52:11.988 You see, I have that huge group of NOTE Confidence: 0.936844128181818 28c20bef-906e-4342-973c-def0b6eec25f 00:52:11.988 --> 00:52:13.795 fire advisors telling Michelle and NOTE Confidence: 0.936844128181818 9473d133-bcd4-4704-9326-094097d1051a 00:52:13.795 --> 00:52:16.093 I what's important for the land NOTE Confidence: 0.936844128181818 72604779-24d2-45db-8c1b-03de54f07815 00:52:16.093 --> 00:52:18.326 treatment digital library and for NOTE Confidence: 0.936844128181818 6cf00c8a-d6c2-498d-846a-ac964ec539d5 00:52:18.326 --> 00:52:20.114 the conservation efforts database, NOTE Confidence: 0.936844128181818 9c3e42b0-f7da-4853-949d-01b19610314a 00:52:20.120 --> 00:52:22.336 which is another data set that I manage. NOTE Confidence: 0.936844128181818 310bc457-cfcd-4f5c-9707-c6f71d8a6c4e 00:52:22.340 --> 00:52:25.328 We have focused user groups again, NOTE Confidence: 0.936844128181818 4e564339-0d1c-41bf-9028-2cd151da68fa 00:52:25.330 --> 00:52:27.367 people who have a vested interest in NOTE Confidence: 0.936844128181818 7103b9a3-a5e6-4cee-a679-cc756252eeb3 00:52:27.367 --> 00:52:29.245 this data telling us what's important NOTE Confidence: 0.936844128181818 7dab41e1-a155-4f7f-88d9-2e362e0a4422 00:52:29.245 --> 00:52:31.147 and what we should be collecting. NOTE Confidence: 0.936844128181818 b22d8358-b6fc-43d3-8463-768b9f82d856 00:52:31.150 --> 00:52:33.376 And you know, people like myself, NOTE Confidence: 0.936844128181818 afb262af-9885-4f12-9160-7e80655aa250 00:52:33.380 --> 00:52:35.356 who do these kind of big data sets NOTE Confidence: 0.936844128181818 98d6367c-8877-492e-9bd1-d7a126081e2f 00:52:35.356 --> 00:52:37.074 for living often consult and work NOTE Confidence: 0.936844128181818 f0475a1f-1439-4bbb-841e-9c50d5025617 00:52:37.074 --> 00:52:38.820 with other users to help build NOTE Confidence: 0.936844128181818 da34bdb2-dbf2-4f53-baaa-0de5e7478c73 00:52:38.880 --> 00:52:40.662 the databases to help give you NOTE Confidence: 0.936844128181818 2230e84e-06a4-4fa2-b319-da4e36ec7b01 00:52:40.662 --> 00:52:42.142 the different costs and benefits. NOTE Confidence: 0.936844128181818 7f4dc56f-179b-43a3-87ef-4a2f1fce786d 00:52:42.142 --> 00:52:43.018 And so again, NOTE Confidence: 0.936844128181818 6ddde556-653b-46da-ac81-f0e213d18bbf 00:52:43.018 --> 00:52:44.770 it's something you can reach out NOTE Confidence: 0.936844128181818 46281780-8e39-4f01-b334-06d82fec0a12 00:52:44.827 --> 00:52:46.393 and we're happy to talk with NOTE Confidence: 0.936844128181818 451207c1-6791-42d5-9f07-4f353bb932a9 00:52:46.393 --> 00:52:47.960 you about things that you want. NOTE Confidence: 0.936844128181818 83bbc9ce-2b12-41d5-aff0-3f70a30f1dcb 00:52:47.960 --> 00:52:50.216 You want in a data set. NOTE Confidence: 0.936844128181818 68e2406a-f229-428c-aad1-48c9ae9a001a 00:52:50.220 --> 00:52:52.260 There is no one right answer NOTE Confidence: 0.936844128181818 d9e64f74-2ad8-40e9-a866-afa9aaf9204f 00:52:52.260 --> 00:52:53.280 to that question. NOTE Confidence: 0.936844128181818 927b3a09-6e91-417f-8df5-f7ddf2065de3 00:52:53.280 --> 00:52:54.690 It depends on the type of NOTE Confidence: 0.936844128181818 1f193bbd-0b41-4f74-880c-527d23e87507 00:52:54.690 --> 00:52:55.395 data you're collecting, NOTE Confidence: 0.936844128181818 009466d7-d1f8-4609-a83a-ff8086c1e5a2 00:52:55.400 --> 00:52:56.315 whether it's monitoring NOTE Confidence: 0.936844128181818 ed304be7-4b6d-4e7d-9240-c1301e92db0c 00:52:56.315 --> 00:52:57.535 data or treatment data, NOTE Confidence: 0.936844128181818 4e5ab464-804f-45a5-a1c4-e6a6cb522440 00:52:57.540 --> 00:52:59.380 or another type of data. NOTE Confidence: 0.936844128181818 3dd44061-8c3f-4195-9602-186b4c9e2c96 00:52:59.380 --> 00:53:01.595 It depends on what's important NOTE Confidence: 0.936844128181818 0ca17dbd-53ec-45f2-907a-f722b6e5de9b 00:53:01.595 --> 00:53:05.080 to you and to that type of data, NOTE Confidence: 0.936844128181818 635ca327-9535-436a-ae19-c03f8f23105a 00:53:05.080 --> 00:53:07.537 and so that's the best answer I can give. NOTE Confidence: 0.88969485 606f27ce-4628-419a-9197-76be699fceb1 00:53:09.550 --> 00:53:11.430 That's a great answer. NOTE Confidence: 0.88969485 b049a872-cd0c-48fe-9e3c-77a585ba214c 00:53:11.430 --> 00:53:14.250 I don't see anymore coming through. NOTE Confidence: 0.88969485 a94d856c-e9ce-4e75-90dc-1e98a2cfd8fb 00:53:14.250 --> 00:53:16.518 So I think that's going to do at a NOTE Confidence: 0.88969485 9dafb6ee-b2c9-4cc7-94fc-961d875cf234 00:53:16.518 --> 00:53:18.537 given another second or two here. NOTE Confidence: 0.88969485 ef11ed2f-c0da-4fd0-bcdd-aa6ea1b6685f 00:53:18.540 --> 00:53:22.568 But Justin, a huge thank you to you NOTE Confidence: 0.88969485 2aedfbf0-98ee-42fc-bd63-45eaf39f3be7 00:53:22.568 --> 00:53:24.729 for answering all these questions. NOTE Confidence: 0.88969485 3e72b1df-c077-4bf3-b8be-3728659afaa9 00:53:24.730 --> 00:53:26.326 For giving such a great lecture, NOTE Confidence: 0.88969485 18005cf5-f0a2-45bf-aad6-a136832bc101 00:53:26.330 --> 00:53:28.022 something we're going to be able NOTE Confidence: 0.88969485 7ad1313b-c7ba-4939-9115-498623bc9b84 00:53:28.022 --> 00:53:29.864 to archive on our public lecture NOTE Confidence: 0.88969485 1f338701-1083-4c57-8537-2e4cda90c677 00:53:29.864 --> 00:53:32.146 website and have for many years here. NOTE Confidence: 0.88969485 9d093213-9f33-4ef7-b4cf-8aeb3c26c39f 00:53:32.150 --> 00:53:33.605 So thank you, NOTE Confidence: 0.88969485 99842b21-cce2-4855-a2f6-1ba1be2a1a18 00:53:33.605 --> 00:53:37.000 Justin and just thank you to everyone NOTE Confidence: 0.88969485 45b6d426-b460-4d07-8002-fca67f3b2f6f 00:53:37.102 --> 00:53:40.525 else out there for joining us today. NOTE Confidence: 0.88969485 e84afb2b-84af-443e-80b2-832a6fe2f358 00:53:40.530 --> 00:53:42.090 As I've mentioned a few times, NOTE Confidence: 0.88969485 9ccf5bab-206a-41f2-9beb-dedc40d27651 00:53:42.090 --> 00:53:44.078 in case you want to watch this NOTE Confidence: 0.88969485 ff568c69-f5fa-4f4b-9c29-036105eae3a4 00:53:44.078 --> 00:53:45.949 again or share it with others, NOTE Confidence: 0.88969485 44983137-eafc-419b-9066-fa3d0aa9e14c 00:53:45.950 --> 00:53:47.054 Justin's lecture will be NOTE Confidence: 0.88969485 a0ae3218-613c-42d9-ab66-c84d5da816c2 00:53:47.054 --> 00:53:49.044 available in about a week for on NOTE Confidence: 0.88969485 0d9c20cb-29d7-4e39-bd79-6118db0e2aa5 00:53:49.044 --> 00:53:50.449 demand viewing on our website, NOTE Confidence: 0.88969485 de9451b5-7d29-4bd2-9759-132e63e2a926 00:53:50.450 --> 00:53:52.650 which should be shown on the screen here. NOTE Confidence: 0.88969485 63987501-86f4-4d5a-9bde-74a6af493021 00:53:52.650 --> 00:53:53.478 The website is NOTE Confidence: 0.762753418333333 5a0703ce-01a9-4ce9-be8f-ef247d6ff7e8 00:53:56.510 --> 00:53:58.476 www.usgs.gov/pls NOTE Confidence: 0.762753418333333 62d1a9d5-4da1-459c-9026-8ffb37ca6ec8 00:53:58.476 --> 00:54:02.950 You'll also find over 180 archive NOTE Confidence: 0.762753418333333 f6eef248-2fea-4dfe-b578-434d7595b09e 00:54:02.950 --> 00:54:05.110 lectures on that site over the last 20 NOTE Confidence: 0.762753418333333 10ef91cc-ff3c-4225-8cb9-cfde25aa3aea 00:54:05.168 --> 00:54:07.436 years that we've been holding this series, NOTE Confidence: 0.762753418333333 9918d304-3b15-408e-b9e6-c11f9ce85458 00:54:07.440 --> 00:54:09.974 so make sure you check that out. NOTE Confidence: 0.762753418333333 19a30138-0d05-40f4-8354-32a20c597c44 00:54:09.980 --> 00:54:12.224 On the website you'll also find NOTE Confidence: 0.762753418333333 2cb3d4dc-3bda-44af-b318-98e25e427aa0 00:54:12.224 --> 00:54:14.184 mention of our lecture schedule NOTE Confidence: 0.762753418333333 9c793c1b-2cd7-4c70-81e3-3644dc3496ee 00:54:14.184 --> 00:54:16.554 for the remainder of this year. NOTE Confidence: 0.762753418333333 ae667afc-90e0-4ad9-9f9f-2e383711abb1 00:54:16.560 --> 00:54:19.416 We're fully booked and we have talks on NOTE Confidence: 0.762753418333333 12766c83-8dc2-4d33-b89a-5195586ab66a 00:54:19.416 --> 00:54:21.975 topics ranging from volcanoes in Alaska NOTE Confidence: 0.762753418333333 594b5baf-a052-4079-931a-b40c60f84a32 00:54:21.975 --> 00:54:24.190 to endangered endangered bumblebees to NOTE Confidence: 0.762753418333333 ac9db5a2-167f-445c-82d6-d46c9236225b 00:54:24.190 --> 00:54:26.759 our national geologic map database. NOTE Confidence: 0.762753418333333 74d6ff14-febe-4559-85aa-a628c04a3613 00:54:26.760 --> 00:54:29.518 So lots of good stuff coming up. NOTE Confidence: 0.762753418333333 b63fd5e9-6ec7-49e2-b818-bfa3ca09f141 00:54:29.520 --> 00:54:30.876 As I mentioned in the beginning, NOTE Confidence: 0.762753418333333 0e35a81c-c6ca-417a-85a8-485a5159cac8 00:54:30.880 --> 00:54:32.960 if you want to be added to our mailing list, NOTE Confidence: 0.762753418333333 1f18d187-fddd-45b4-8aee-6e07622b613f 00:54:32.960 --> 00:54:34.880 we only send 2 emails, NOTE Confidence: 0.762753418333333 c13bcaca-faec-48b1-99be-63adc4ef6655 00:54:34.880 --> 00:54:36.154 one in the beginning of the month, NOTE Confidence: 0.762753418333333 e274d9e5-e06a-4433-af35-f6368ee221f0 00:54:36.160 --> 00:54:38.827 one at the end to get notifications NOTE Confidence: 0.762753418333333 a4b2939c-dd63-40f7-a52e-2cb7e40153d9 00:54:38.827 --> 00:54:39.970 on our lectures. NOTE Confidence: 0.762753418333333 c49bd5b6-ea0e-4dfd-99cd-4a17e3a5a553 00:54:39.970 --> 00:54:42.490 Just send us an email at NOTE Confidence: 0.87077754125 ea24f391-636f-404a-b624-e3743214f898 00:54:46.420 --> 00:54:47.070 wmcesic@usgs.gov and NOTE Confidence: 0.87077754125 7b2fc351-98d0-424d-bb6d-2bc3b71a25f3 00:54:47.070 --> 00:54:49.020 we'll add you to our list. NOTE Confidence: 0.87077754125 6c33f67c-722a-4fba-b235-315182fe10eb 00:54:49.020 --> 00:54:50.745 And finally the flyer that NOTE Confidence: 0.87077754125 c0b552aa-d459-4ec5-b09f-a4d9ed5a9d0b 00:54:50.745 --> 00:54:52.125 was just showing there, NOTE Confidence: 0.87077754125 2b1f0f27-cfa3-46c2-a53b-01b31697599a 00:54:52.130 --> 00:54:53.790 that's the flyer for our NOTE Confidence: 0.87077754125 8b32fc8c-97fa-4e36-ab50-b4e8bb8aeab8 00:54:53.790 --> 00:54:55.118 lecture for next month, NOTE Confidence: 0.87077754125 51384025-4159-4ade-8a86-64e24084261c 00:54:55.120 --> 00:54:57.704 which again is May 26th at 6:00 PM NOTE Confidence: 0.87077754125 83f0792d-b0e0-4e24-bb95-a76865d4b66d 00:54:57.704 --> 00:54:59.965 Pacific Time and that will be Paul NOTE Confidence: 0.87077754125 18ae28f0-934e-4437-bd29-f8dfaea40c33 00:54:59.965 --> 00:55:02.564 Young's talk on the use of remote NOTE Confidence: 0.87077754125 0ff17047-a9ea-4759-9491-c11c02aad6f0 00:55:02.564 --> 00:55:05.019 sensing technologies to support science. NOTE Confidence: 0.87077754125 abbe818b-7212-45af-9f26-b8c7d68881ef 00:55:05.020 --> 00:55:06.133 So until then, NOTE Confidence: 0.87077754125 5e57c13b-e8f7-4791-9663-1e48fdb010f9 00:55:06.133 --> 00:55:07.988 thank you again everyone and NOTE Confidence: 0.87077754125 ed61be01-8553-4924-affa-ad8dd4b56f04 00:55:07.988 --> 00:55:10.588 Justin for joining us and have a NOTE Confidence: 0.87077754125 02cc8acf-f51c-462d-81ab-066cc2ab62c8 00:55:10.588 --> 00:55:12.373 wonderful evening bye for now. NOTE Confidence: 0.87077754125 32658573-ec63-4d29-86ea-2798cad6f888 00:55:12.380 --> 00:55:13.268 Thank you everyone.