WEBVTT NOTE duration:"00:41:53" NOTE recognizability:0.827 NOTE language:en-us NOTE Confidence: 0.7620795 777c4da5-4f21-43be-89a6-8f8699ad890f 00:00:05.060 --> 00:00:08.282 My name is Drew Decker with NOTE Confidence: 0.7620795 eb117f6d-85de-4acb-a9cd-b7a89583cd8b 00:00:08.282 --> 00:00:10.332 US Geological Survey. NOTE Confidence: 0.7620795 e01092d1-4982-4edd-9510-dd7534217999 00:00:10.332 --> 00:00:12.924 Alex Jonesi and I will be helping NOTE Confidence: 0.7620795 f7f85ab4-ce47-4e1b-b811-ba3f86667f7d 00:00:12.924 --> 00:00:16.005 with today's call and so this is NOTE Confidence: 0.7620795 6b51a4bc-a99b-4a48-9bd4-3fa81316ec1a 00:00:16.005 --> 00:00:18.125 the opening welcome for today's NOTE Confidence: 0.7620795 9c54ac35-ed51-4147-ab12-6913884644d2 00:00:18.125 --> 00:00:20.878 USGS Hydrography Community Call NOTE Confidence: 0.7620795 9141c784-a748-43ec-af77-6b6a1dc177a2 00:00:20.880 --> 00:00:26.630 for August 23rd, 2022. NOTE Confidence: 0.7620795 8132c532-506a-41c2-8434-6433bf498f3e 00:00:26.630 --> 00:00:29.252 These calls are held on behalf NOTE Confidence: 0.7620795 a9d3d062-3085-4be2-a7de-1722bf39bc0f 00:00:29.252 --> 00:00:31.730 of the USGS Hydrography Program. NOTE Confidence: 0.7620795 7469cb91-31fc-4509-93ab-e27574794314 00:00:31.730 --> 00:00:34.094 The Hydrography Program leads NOTE Confidence: 0.7620795 6441a063-80df-4aca-a6fe-0e724401b123 00:00:34.094 --> 00:00:37.640 or Steve Aichele, Sue Buto, and Silvia Terziotti. NOTE Confidence: 0.7620795 29fc1992-f52b-424b-9ed5-9aa71bd45c81 00:00:37.640 --> 00:00:40.454 Two of our leads, Sue and Steve, NOTE Confidence: 0.7620795 3d2f9678-f0f0-491c-918b-b0e8d26c95ca 00:00:40.460 --> 00:00:42.908 will be presenting on today's call. NOTE Confidence: 0.811213245357143 cdd642d8-f295-49c8-aa98-6ca7e1cba0c9 00:00:45.140 --> 00:00:47.908 One thing I want to let our presenter NOTE Confidence: 0.811213245357143 06519c2c-5cfd-4398-8233-7b730b6e1938 00:00:47.908 --> 00:00:50.638 know is that since we're going to NOTE Confidence: 0.811213245357143 8b578cb6-cb70-42aa-b8b8-2932dbc26428 00:00:50.638 --> 00:00:53.014 be recording this for the USGS NOTE Confidence: 0.811213245357143 e1a4a281-f904-4a86-94aa-d07c945b27c5 00:00:53.014 --> 00:00:55.366 site and we want to ensure NOTE Confidence: 0.811213245357143 c8f0d779-a2d9-4f6b-a813-1c285ec08373 00:00:55.370 --> 00:00:57.869 we complied with all of the requirements NOTE Confidence: 0.811213245357143 83e9ed5f-6fb6-40b1-b627-7df0d04526fe 00:00:57.869 --> 00:00:59.805 for that, that any description, NOTE Confidence: 0.811213245357143 0b65a0e5-a764-4651-acdd-6e5d935e6237 00:00:59.805 --> 00:01:02.235 additional description you may be able NOTE Confidence: 0.811213245357143 790acf0a-2519-4673-9937-f6fe57d9d63e 00:01:02.235 --> 00:01:04.828 to add to the visuals that are seen, NOTE Confidence: 0.811213245357143 f5c1579c-7308-4468-b5ec-d0c653deca0d 00:01:04.830 --> 00:01:07.203 it would be helpful as we compile NOTE Confidence: 0.811213245357143 9a5561da-af8f-4176-b693-c6ffa5e439da 00:01:07.203 --> 00:01:09.429 and put the video together. NOTE Confidence: 0.811213245357143 e2b05b4d-62af-4b94-bdc5-571c034c486f 00:01:09.430 --> 00:01:11.880 Just wanted to mention that. NOTE Confidence: 0.803388721666667 083993d4-c92b-4189-9f2b-4ac66923312a 00:01:13.990 --> 00:01:17.068 So we typically opened the call, NOTE Confidence: 0.803388721666667 ca911df7-0200-4b5e-9e6d-445040b06b75 00:01:17.070 --> 00:01:19.020 any announcements from the Hydrography Team NOTE Confidence: 0.803388721666667 251ee6a0-8612-47b7-b1e9-7074aad8fd83 00:01:19.020 --> 00:01:22.272 and the leads that we'll have the NOTE Confidence: 0.803388721666667 5a23ba87-79ba-4418-a538-f240a159cb7f 00:01:22.272 --> 00:01:24.744 presentation with its questions and answers. NOTE Confidence: 0.803388721666667 a3f5a638-5cd1-4854-aa3e-c9cc3f89f83e 00:01:24.750 --> 00:01:26.598 And then we close with any NOTE Confidence: 0.803388721666667 527399a8-7650-4b48-aac8-fd10e7912602 00:01:26.598 --> 00:01:27.830 announcement from our group, NOTE Confidence: 0.803388721666667 d8167003-22d9-4059-abd0-82cd92c1983a 00:01:27.830 --> 00:01:30.910 which could be anybody here on the call. NOTE Confidence: 0.803388721666667 e11e1eb0-d4a6-44e9-bc31-f177c32ab478 00:01:30.910 --> 00:01:33.248 We will ensure of course that the NOTE Confidence: 0.803388721666667 97dda9fe-6323-407c-8fec-2b67961aec24 00:01:33.250 --> 00:01:36.022 recording is posted later on and help NOTE Confidence: 0.803388721666667 7a1576cb-99a7-488b-979d-c25096ea3ef0 00:01:36.022 --> 00:01:38.908 with any questions that come up with that. NOTE Confidence: 0.803388721666667 186a0831-bca5-4611-91be-aa8c79a21c6c 00:01:38.910 --> 00:01:40.982 There may be a lot of interest in NOTE Confidence: 0.803388721666667 728e6bb4-fdc4-480e-a921-90c07134d4be 00:01:40.982 --> 00:01:42.779 today's topic or a lot of questions, NOTE Confidence: 0.803388721666667 132ebb2b-fb21-4856-8134-67567e592be4 00:01:42.780 --> 00:01:44.724 you never know how many questions we'll have, NOTE Confidence: 0.803388721666667 216572a9-64ad-4271-b99e-606960a5c232 00:01:44.730 --> 00:01:46.890 we may not have much time at the end for now, NOTE Confidence: 0.803388721666667 b3b7cd61-ac55-45d0-acb1-4e662a52487e 00:01:46.890 --> 00:01:49.770 but we will see how this NOTE Confidence: 0.803388721666667 4d284520-9619-4c1c-b36b-43d0450931e4 00:01:49.770 --> 00:01:52.239 comes together. NOTE Confidence: 0.803388721666667 f8c95096-5245-4f40-a2bb-af93895ee46f 00:01:52.239 --> 00:01:54.708 For questions, NOTE Confidence: 0.803388721666667 93fae029-bcab-4b09-9415-e96d3097d101 00:01:54.710 --> 00:01:57.646 I will defer to Sue and Steve as NOTE Confidence: 0.803388721666667 4eb8b4dc-4b23-4d9a-a305-bb036fc62096 00:01:57.646 --> 00:02:00.826 to how they want to handle them. NOTE Confidence: 0.803388721666667 28fbcb6e-d7aa-4849-bf78-8166071c84cb 00:02:00.830 --> 00:02:04.334 I believe the default would be to have NOTE Confidence: 0.803388721666667 f31d83de-9114-4ee8-a04b-6b03a64c8efa 00:02:04.334 --> 00:02:07.489 the presentation and folks can ask their NOTE Confidence: 0.803388721666667 c4abf1f3-2013-48b8-9c33-50d38ed50d74 00:02:07.489 --> 00:02:10.589 questions during the presentation NOTE Confidence: 0.803388721666667 4c3e4202-4067-40c8-854a-592f94f00e90 00:02:10.589 --> 00:02:12.368 in the chat. NOTE Confidence: 0.803388721666667 145581f3-e639-4f4e-ae28-eec99cfe7f84 00:02:12.370 --> 00:02:14.210 And we'll keep an eye on that too. NOTE Confidence: 0.803388721666667 16fa6316-b36d-4884-8929-a101cb7eb1ed 00:02:14.210 --> 00:02:16.724 So when it's question and answer NOTE Confidence: 0.803388721666667 e1a6ce6f-b916-4ede-ae3b-decad8120691 00:02:16.724 --> 00:02:20.285 time later on we can go down to chat NOTE Confidence: 0.803388721666667 3b3a835c-4a87-47bb-b1c5-dad318542915 00:02:20.285 --> 00:02:22.712 and discuss a bit depending on NOTE Confidence: 0.803388721666667 01901de4-65f3-412b-9fde-ad455a1ed6cb 00:02:22.712 --> 00:02:24.608 how many questions we have there. NOTE Confidence: 0.803388721666667 b77141b5-3054-4289-9716-4f3cc54ff9fd 00:02:24.610 --> 00:02:25.057 Folks, NOTE Confidence: 0.803388721666667 db0e248a-5d8c-477f-92a3-188ad4ca8de8 00:02:25.057 --> 00:02:28.186 after the call or the presentation can NOTE Confidence: 0.803388721666667 7b2fe685-8d06-433a-aeeb-6000058828f2 00:02:28.186 --> 00:02:32.480 also raise their hand or just chime in. NOTE Confidence: 0.803388721666667 578f59b6-7f13-4246-b1f2-1fb4d25aefd3 00:02:32.480 --> 00:02:34.867 Are there any questions from the group? NOTE Confidence: 0.716479553333333 cb78f701-65ab-42e4-a39c-71aeaf17702c 00:02:39.360 --> 00:02:45.015 OK. No questions. Sue and Steve, NOTE Confidence: 0.716479553333333 76d090f4-ab81-470f-96cc-d7dcdb3312e2 00:02:45.015 --> 00:02:48.345 are you here and ready to NOTE Confidence: 0.716479553333333 0120a4c2-80b8-4426-a412-8636989a34e6 00:02:48.345 --> 00:02:50.990 present here in a moment? NOTE Confidence: 0.8455291 1a307ef3-8e09-45a4-831c-73a799eac614 00:02:53.760 --> 00:02:57.852 Steve: Yes, we are.  NOTE Confidence: 0.8455291 ec86d205-2018-42f9-8cbc-6fdda11811be 00:02:57.852 --> 00:03:00.808 Drew: Great, great, great. OK, well, today's topic is going NOTE Confidence: 0.8455291 49296e6f-ae3b-443b-89ed-1a20de8900e4 00:03:00.808 --> 00:03:03.460 to be the 3D Hydrography Program, NOTE Confidence: 0.8455291 108b2597-44d6-4822-91ef-5e670784c6d8 00:03:03.460 --> 00:03:06.388 transition timelines and Steve and Sue NOTE Confidence: 0.8455291 f3d1206a-d04d-4b22-a2f0-20ef6103e1b5 00:03:06.388 --> 00:03:09.577 will be presenting and thank you, Steve. NOTE Confidence: 0.8455291 2e988b38-0d1d-4d16-b1d1-79273be7ea7e 00:03:09.577 --> 00:03:12.076 We see your screen share now. NOTE Confidence: 0.8455291 ad2a011a-b95d-43b1-8040-89ff2ff00860 00:03:12.076 --> 00:03:13.848 Steve: excellent, Sue is actually NOTE Confidence: 0.8455291 2cf78f8d-faf3-4157-a0fc-1b90d0d9cc8d 00:03:13.848 --> 00:03:15.816 going to lead us off here. NOTE Confidence: 0.8455291 cba59f63-303d-4126-bea0-daeff388b09c 00:03:15.820 --> 00:03:18.940 Drew: OK. Thank you.  NOTE Confidence: 0.8455291 e55c01c4-644a-4faf-bdcd-6cbed363e5ca 00:03:18.940 --> 00:03:20.724 Sue: Thanks, Steve. If you can just hit the next slide. NOTE Confidence: 0.890286508333333 f5ac848b-74df-48b1-9e8b-6bca0ca2589c 00:03:23.570 --> 00:03:26.150 So we like to kind of start or at least NOTE Confidence: 0.890286508333333 61178f23-7fe0-4f39-b865-776bddb12116 00:03:26.217 --> 00:03:28.593 I do with the a look back at where NOTE Confidence: 0.890286508333333 449ca331-ef66-429c-afc8-78c8113a2219 00:03:28.593 --> 00:03:31.229 we've been and where we're going with NOTE Confidence: 0.890286508333333 0f09faa7-c667-41f6-aca0-f85f872e2348 00:03:31.229 --> 00:03:33.950 the topographic mapping in the USGS. NOTE Confidence: 0.890286508333333 d1f39a9d-2ab9-4e8f-a165-1378507710f9 00:03:33.950 --> 00:03:37.723 So we began in 1884 with the NOTE Confidence: 0.890286508333333 fff56bca-ff6c-4a89-9a68-799fbe175fe5 00:03:37.723 --> 00:03:40.549 authority to map topography for the NOTE Confidence: 0.890286508333333 88cb34a6-fdbf-4511-8d20-b5c20756580a 00:03:40.549 --> 00:03:43.532 United States and in that era we NOTE Confidence: 0.890286508333333 6b1e4833-8f37-4beb-af7c-0a8db266729c 00:03:43.532 --> 00:03:45.990 collected data to make our maps, NOTE Confidence: 0.890286508333333 d3fd7533-f5e8-4305-b04a-a3a7dde755b4 00:03:45.990 --> 00:03:48.606 as you can see from the the image NOTE Confidence: 0.890286508333333 7531397b-f2a6-4ec4-9bd3-645106a868ee 00:03:48.606 --> 00:03:51.365 above in the top right of the slide NOTE Confidence: 0.890286508333333 d61a8cc1-1470-4803-b045-467ef3acbe89 00:03:51.370 --> 00:03:53.640 using plane tables and theodolites NOTE Confidence: 0.890286508333333 d300297c-5fa3-4465-aba6-d260e4f33801 00:03:53.640 --> 00:03:54.798 and field work. NOTE Confidence: 0.890286508333333 4d6b9060-c4e1-49d9-87af-5b3cde0c9c77 00:03:54.798 --> 00:03:58.092 So there was an era when we began NOTE Confidence: 0.890286508333333 2ca2c156-13b1-40b2-a7ed-4a5d0dd980c7 00:03:58.092 --> 00:04:00.602 to actually harvest data from NOTE Confidence: 0.890286508333333 64bf0524-0b88-43ef-8399-86ad64776fef 00:04:00.602 --> 00:04:03.674 those maps to create our initial NOTE Confidence: 0.890286508333333 a2ad959f-7db9-41c3-90c8-416c684e3a42 00:04:03.674 --> 00:04:06.543 and our ongoing and digital data NOTE Confidence: 0.890286508333333 ec3079a0-6cdc-4da2-9422-9312e53bd191 00:04:06.543 --> 00:04:09.369 collections and the advent of GIS NOTE Confidence: 0.890286508333333 e09c91c8-84ed-4a9d-b612-d1cbac790c14 00:04:09.369 --> 00:04:12.468 and other computer aided systems. NOTE Confidence: 0.890286508333333 d17bdc37-f90a-40fa-b6b8-d3e6cbda5faa 00:04:12.470 --> 00:04:14.742 And so we moved into a period where NOTE Confidence: 0.890286508333333 9d04cf87-6638-4a8e-9b0c-40d4f92f623b 00:04:14.742 --> 00:04:17.205 our maps were being used to make the NOTE Confidence: 0.890286508333333 89b19387-7ea4-45a9-b2f4-d1717a4d8320 00:04:17.205 --> 00:04:20.166 data in this period was a one in which NOTE Confidence: 0.890286508333333 1df12cd3-759c-4cc4-9cb2-55e2b0657e01 00:04:20.166 --> 00:04:22.366 our elevation and our hydrography data NOTE Confidence: 0.890286508333333 c9ce55a1-ef6e-4c49-9f55-fa448b1f9dcf 00:04:22.366 --> 00:04:24.946 became separated from each other. NOTE Confidence: 0.890286508333333 b806e664-939f-4465-937a-112d63541a5f 00:04:24.950 --> 00:04:27.218 And sort of went on their paths, NOTE Confidence: 0.890286508333333 abf3521b-1ef6-42a3-a6b4-f222143b7a1f 00:04:27.220 --> 00:04:28.820 whereas with the topographic NOTE Confidence: 0.890286508333333 859edf2a-0988-4e1d-832b-b3c452354d9c 00:04:28.820 --> 00:04:31.640 map and the old school 24K quad, NOTE Confidence: 0.890286508333333 11b8e182-0663-45ae-a4f1-999c7bb5e1c6 00:04:31.640 --> 00:04:33.690 those data are inherently aligned NOTE Confidence: 0.890286508333333 3d4326df-678a-4110-9f6b-41ec9d13d021 00:04:33.690 --> 00:04:34.920 with each other. NOTE Confidence: 0.890286508333333 870f1be9-eebe-463c-b6b8-0be5737b6122 00:04:34.920 --> 00:04:37.573 So now that we're able to collect NOTE Confidence: 0.890286508333333 babe7035-5342-4990-9a35-9dc205cf8d62 00:04:37.573 --> 00:04:40.039 and are actively collecting new high NOTE Confidence: 0.890286508333333 f8d4e5e6-0500-4013-af64-39254bb13c34 00:04:40.039 --> 00:04:42.958 accuracy 3DEP data for the nation, NOTE Confidence: 0.890286508333333 896301eb-1d35-45bd-9f80-1089552120b6 00:04:42.960 --> 00:04:45.368 we're now able to bring those two NOTE Confidence: 0.890286508333333 e8642bc5-4844-4f2a-97c3-757d5d1f9d7b 00:04:45.368 --> 00:04:47.888 data streams back together and derive NOTE Confidence: 0.890286508333333 670e7ffd-30f1-448f-b74a-f45c8280cac1 00:04:47.888 --> 00:04:50.248 aligned hydrography data from that NOTE Confidence: 0.890286508333333 1cfbabe6-0116-415f-92a9-9334be0fe2bd 00:04:50.248 --> 00:04:52.279 high resolution elevation data. NOTE Confidence: 0.890286508333333 82474b4f-ad4c-4a52-95e4-e0c3cd6da0ac 00:04:52.280 --> 00:04:54.527 So we're moving back into an era NOTE Confidence: 0.890286508333333 56208597-dbe9-44f1-a749-0f5a02e4c79b 00:04:54.527 --> 00:04:55.840 where we're collecting data NOTE Confidence: 0.890286508333333 1716772d-def4-4317-b662-1b9c85e08e09 00:04:55.840 --> 00:04:57.632 to make maps and it's kind of NOTE Confidence: 0.890286508333333 ba664c6c-68f2-4a05-9065-f807622213d1 00:04:57.632 --> 00:04:58.400 an exciting era, NOTE Confidence: 0.890286508333333 f91da396-4056-4f9b-8238-7211bbc9b542 00:04:58.400 --> 00:05:00.758 but lots of change ahead. Next. NOTE Confidence: 0.883129382608696 b18d6f5a-9cf0-400b-8bae-1b873a81ba83 00:05:03.720 --> 00:05:06.338 So take a minute to introduce the NOTE Confidence: 0.883129382608696 44a7497a-95c6-49f0-9a5f-3bff59b060c2 00:05:06.338 --> 00:05:08.271 the big overarching concept that NOTE Confidence: 0.883129382608696 6700719f-6e69-409b-b984-ed7deb7a96fb 00:05:08.271 --> 00:05:10.473 we're working with which is NOTE Confidence: 0.883129382608696 2fa24c7d-d2bc-4be8-82db-d8d7d5c16ee4 00:05:10.473 --> 00:05:13.118 the 3D National Topography Model, NOTE Confidence: 0.883129382608696 aa8bdfac-ecfd-41b6-8e63-29f483bd840d 00:05:13.120 --> 00:05:16.176 and this is a vision that's tied NOTE Confidence: 0.883129382608696 795ca932-8f1d-4767-bfd3-714c931ed1e7 00:05:16.176 --> 00:05:19.614 to our long term vision of a 3D Nation NOTE Confidence: 0.883129382608696 28b15385-280b-40fc-8207-13bf7af51e14 00:05:19.614 --> 00:05:22.359 that we've had with NOAA, NOTE Confidence: 0.883129382608696 3aa24e1c-454f-4af4-aecf-10476efdb02e 00:05:22.360 --> 00:05:25.204 which has a goal to create a  NOTE Confidence: 0.883129382608696 ad7c166d-2387-4923-b706-a4a070ae7f80 00:05:25.204 --> 00:05:27.194 continuous elevation surface from the peaks of our mountains, NOTE Confidence: 0.883129382608696 dde38cd9-3a29-4c05-935a-e5bf820ef89a 00:05:27.194 --> 00:05:29.720 to the depths of our waters. NOTE Confidence: 0.883129382608696 85ebbe67-8992-403b-a3c9-46f0e05c2317 00:05:29.720 --> 00:05:33.068 With NOAA being responsible for the NOTE Confidence: 0.883129382608696 76dfb834-ee51-440b-a5e2-ee7639317481 00:05:33.070 --> 00:05:36.101 ocean water portion of that and USGS NOTE Confidence: 0.883129382608696 1f571b03-9919-47b6-bfad-453b3c5e0a4f 00:05:36.101 --> 00:05:39.030 responsible for the terrestrial portion. NOTE Confidence: 0.883129382608696 d93827c1-96f4-4233-b8fe-a05e45a7fdfc 00:05:39.030 --> 00:05:41.370 So we're moving towards development NOTE Confidence: 0.883129382608696 e1ff5d81-d95c-4eb2-a624-e987ce7d012f 00:05:41.370 --> 00:05:44.136 of a 3D National Topography Model NOTE Confidence: 0.883129382608696 db35ef11-f6af-4e68-a49a-4742d8cc32bb 00:05:44.136 --> 00:05:46.552 first by creating and completing NOTE Confidence: 0.883129382608696 96f646b0-9104-4113-b550-360beb9112d5 00:05:46.552 --> 00:05:48.848 our national baseline datasets. NOTE Confidence: 0.883129382608696 08baf10e-ac70-4e7a-a27b-9bc55893237c 00:05:48.850 --> 00:05:50.940 And I'll highlight particularly the NOTE Confidence: 0.883129382608696 287021f3-6636-46e8-abbe-3ceb28c236b0 00:05:50.940 --> 00:05:53.424 progress that we've made with  NOTE Confidence: 0.883129382608696 725b812b-56d0-4817-a9e2-dba35726df4b 00:05:53.424 --> 00:05:55.788 3DEP with the 3D Elevation Program, NOTE Confidence: 0.883129382608696 57ae3751-b4cd-46cc-b477-cc004a13cf4c 00:05:55.790 --> 00:06:00.390 which at the end of FY21 had 84% of the NOTE Confidence: 0.883129382608696 c561e5aa-3b88-40ec-ba18-79da5dc1a33f 00:06:00.390 --> 00:06:03.850 nation either complete or in progress, NOTE Confidence: 0.883129382608696 834c7c6a-8f47-478f-a9d9-b85c4ea63ad6 00:06:03.850 --> 00:06:05.855 with high resolution elevation data NOTE Confidence: 0.883129382608696 8f44b1d0-4e53-427c-967e-e23548d9758a 00:06:05.855 --> 00:06:08.714 and we believe we're on track to NOTE Confidence: 0.883129382608696 73af6114-dad4-4719-9009-1265c8ca4b38 00:06:08.714 --> 00:06:10.659 complete acquisition by FY26, NOTE Confidence: 0.883129382608696 f3ccc85c-b21c-4093-894c-0345826264dd 00:06:10.660 --> 00:06:13.956 we're coming to the end of the federal NOTE Confidence: 0.883129382608696 0f7fc330-7ddf-4e11-8dc9-ddd9dcafd98b 00:06:13.956 --> 00:06:16.676 fiscal year and we should have our NOTE Confidence: 0.883129382608696 550be11c-7b4d-4055-a88b-4a9d667c03e6 00:06:16.680 --> 00:06:19.435 FY22 completion numbers sometime after NOTE Confidence: 0.883129382608696 85b74541-1e1e-40cd-8d85-ab38ef6f6a9f 00:06:19.435 --> 00:06:23.309 the beginning of the next fiscal year. NOTE Confidence: 0.883129382608696 dda98feb-bcf3-4c32-86fd-f682fa3e7537 00:06:23.310 --> 00:06:24.829 And the next thing that we're doing, NOTE Confidence: 0.883129382608696 3d5b4430-b99b-44c1-956e-4775f3039176 00:06:24.830 --> 00:06:27.044 we're actively working on is development NOTE Confidence: 0.883129382608696 c11dab0d-7fbc-4e7a-af56-d18e7950ad03 00:06:27.044 --> 00:06:29.110 of our next generation programs. NOTE Confidence: 0.883129382608696 879fd226-78a2-416a-bf5b-cb34c5a57fdb 00:06:29.110 --> 00:06:33.324 And those are the 3D Hydrography Program, NOTE Confidence: 0.883129382608696 18778bcf-ba8c-4308-99cd-63842baa639e 00:06:33.330 --> 00:06:35.748 which we're going to discuss today NOTE Confidence: 0.883129382608696 66cdef33-b861-4818-a011-e0cf843fff4a 00:06:35.748 --> 00:06:38.519 and also a move towards developing NOTE Confidence: 0.883129382608696 6e58c1a2-c8d9-49c0-94c6-715c49db47ad 00:06:38.519 --> 00:06:41.729 or planning what's next for 3DEP, NOTE Confidence: 0.883129382608696 6a9c0954-81a2-4c47-9b97-64200b5740ab 00:06:41.730 --> 00:06:43.932 what's the next generation of 3DEP NOTE Confidence: 0.883129382608696 487f51a9-b5da-464b-ada1-d0e0c79f7d0d 00:06:43.932 --> 00:06:45.776 and that's actively being NOTE Confidence: 0.883129382608696 aff8b65c-3740-484b-8fba-7deeba1a8ac0 00:06:45.776 --> 00:06:47.306 worked on at the moment. NOTE Confidence: 0.883129382608696 a13d3843-0a1f-4af3-983c-b9b36109fa0a 00:06:47.310 --> 00:06:49.550 And then our longer term goal is, NOTE Confidence: 0.883129382608696 5f0f1c04-b98e-414d-a663-ee4257c28eeb 00:06:49.550 --> 00:06:50.642 as I mentioned, NOTE Confidence: 0.883129382608696 3dabf4ad-6bcd-4245-a166-4510e869e156 00:06:50.642 --> 00:06:52.826 to develop the  NOTE Confidence: 0.883129382608696 938d3352-0b50-4a96-b931-20d1490730db 00:06:52.830 --> 00:06:53.219 3D National Topography Model, NOTE Confidence: 0.883129382608696 4efa38c7-eef7-4573-8023-6eb936f6fcc1 00:06:53.219 --> 00:06:56.331 which would be a 3D data model to NOTE Confidence: 0.883129382608696 d32d959b-eb51-4114-9571-b1301b8b1bc7 00:06:56.331 --> 00:06:59.448 fully integrate 3DHP and the next NOTE Confidence: 0.883129382608696 a1f93558-a116-4f28-9b52-9940be9e44bd 00:06:59.448 --> 00:07:02.140 generation of 3DEP and plans, NOTE Confidence: 0.883129382608696 f12f025f-095a-49f5-8e8b-46a1b0bf3a85 00:07:02.140 --> 00:07:04.160 or potentially to integrate other NOTE Confidence: 0.883129382608696 73fa1500-4758-4aaf-bde8-b9529e1c2139 00:07:04.160 --> 00:07:06.180 data from The National Map. NOTE Confidence: 0.883129382608696 78b19ae5-a3c5-4723-bf84-b7c5186c6952 00:07:06.180 --> 00:07:06.840 Next slide. NOTE Confidence: 0.815606471 eab44f85-0ec1-46c9-afe6-4620304cd161 00:07:09.440 --> 00:07:11.360 So stepping back a second NOTE Confidence: 0.815606471 310e023f-ce6c-429a-abae-55efc3bbc2a9 00:07:11.360 --> 00:07:13.280 just to focus on hydrography, NOTE Confidence: 0.815606471 0becaf46-305e-4cf2-88f2-810ba54d36eb 00:07:13.280 --> 00:07:15.190 our current approach to National NOTE Confidence: 0.815606471 fe5bfe5d-d109-469d-8ad9-5d308345dc74 00:07:15.190 --> 00:07:17.078 Hydrography Datasets, which I'm sure NOTE Confidence: 0.815606471 59dd843c-0aaa-4174-8518-93061831ca59 00:07:17.078 --> 00:07:19.020 all of you are very well aware of, NOTE Confidence: 0.815606471 c8a6f3d3-0b07-43c2-b035-2f9849d5e3f1 00:07:19.020 --> 00:07:21.120 the National Hydrography Dataset, NOTE Confidence: 0.815606471 af31968d-2d85-44b5-9d83-e164870c1098 00:07:21.120 --> 00:07:23.020 the Watershed Boundary Dataset, NOTE Confidence: 0.815606471 7a55d5fe-2f0c-47d0-a6cb-67013d07fc37 00:07:23.020 --> 00:07:25.780 and the NHD Plus High Resolution. NOTE Confidence: 0.815606471 f6a9cfee-36e7-426b-b26a-00dd01d20e19 00:07:25.780 --> 00:07:28.228 The current approach is to leverage NOTE Confidence: 0.815606471 58d833c9-06f6-41b7-957e-3fcc83a73525 00:07:28.228 --> 00:07:29.860 local knowledge and updates NOTE Confidence: 0.815606471 25ac79c9-1027-4760-a192-2646574da327 00:07:29.927 --> 00:07:31.999 through our stewardship program, NOTE Confidence: 0.815606471 11fa84a6-eae2-4a93-a862-857ec8892fe5 00:07:32.000 --> 00:07:34.630 which has participants from 41 NOTE Confidence: 0.815606471 443bb245-ceba-4954-8253-d3e6b55c022c 00:07:34.630 --> 00:07:37.922 States and Washington, D.C. and that NOTE Confidence: 0.815606471 32a860ab-0902-41fc-ac3a-cfc89cc178c6 00:07:37.922 --> 00:07:40.747 leveraging of information has NOTE Confidence: 0.815606471 d7dc74ab-9a42-46fe-baaf-593f15cca09e 00:07:40.750 --> 00:07:42.525 created a portfolio of data NOTE Confidence: 0.815606471 36dc9c69-457f-42d6-a899-55e3c0a6f413 00:07:42.525 --> 00:07:44.836 sets that is arguably the most NOTE Confidence: 0.815606471 f309254f-7138-4dde-b8e7-5f075404893b 00:07:44.836 --> 00:07:47.151 comprehensive and current data that NOTE Confidence: 0.815606471 aff4fae3-12c9-4734-b46b-28d5d035e5ef 00:07:47.151 --> 00:07:49.540 depicts the nation's surface waters. NOTE Confidence: 0.815606471 1deaa5f8-f92c-45ed-96b8-98c9416c4621 00:07:49.540 --> 00:07:52.324 But we notice as we think about NOTE Confidence: 0.815606471 906bd56e-de7b-463b-baac-2db4576030de 00:07:52.324 --> 00:07:55.000 what's next for the program that NOTE Confidence: 0.815606471 7a679c10-70d5-470b-94b0-2873f5220c39 00:07:55.000 --> 00:07:58.219 updates to the data set are not uniform. NOTE Confidence: 0.815606471 5ea2095d-056c-4eb0-b511-7169aaac2085 00:07:58.220 --> 00:08:01.153 Some areas have been updated over the NOTE Confidence: 0.815606471 778e8030-a3ff-4e85-93fc-52512b990b40 00:08:01.153 --> 00:08:03.360 years through active stewardship, NOTE Confidence: 0.815606471 7bfb5a4d-1f7b-4634-9f59-301a0734a10b 00:08:03.360 --> 00:08:04.810 and other areas have not, NOTE Confidence: 0.815606471 3b88c886-6335-464b-ac2b-ea90370db05f 00:08:04.810 --> 00:08:06.985 where there's not resources for NOTE Confidence: 0.815606471 0abaf58c-27f8-4b28-9614-bb94515c3480 00:08:06.985 --> 00:08:09.160 our steward community to actively NOTE Confidence: 0.815606471 775c9fb2-7a81-4e81-9a72-76e086cc65ac 00:08:09.233 --> 00:08:10.638 work on the data set. NOTE Confidence: 0.815606471 5edcc329-de43-42ad-912e-42cc024323ee 00:08:10.640 --> 00:08:13.760 And so what we see is that the NOTE Confidence: 0.815606471 3f4f7d38-7af2-4617-9b7e-d7336f18101e 00:08:13.760 --> 00:08:15.469 national consistency of the NOTE Confidence: 0.815606471 bf636771-49e3-4e88-a683-7748a1d34c78 00:08:15.469 --> 00:08:17.599 data set has decreased overtime. NOTE Confidence: 0.815606471 296b8d61-5212-4e55-b2a2-d33ce7a62263 00:08:17.600 --> 00:08:20.360 But most importantly as we move NOTE Confidence: 0.815606471 a80c0b68-1213-4a73-adce-223944d134e2 00:08:20.360 --> 00:08:23.650 to complete our collection of NOTE Confidence: 0.815606471 d03b32b9-1e45-4d80-a2dc-108ea114569d 00:08:23.650 --> 00:08:26.358 high resolution elevation data, NOTE Confidence: 0.815606471 b84afeef-d3f4-4b55-be25-0f9ee7d8c1eb 00:08:26.360 --> 00:08:29.340 the NHD surface water features NOTE Confidence: 0.815606471 9ab0158f-b614-47d5-8398-f3d174cb0604 00:08:29.340 --> 00:08:32.476 in most places don't align well with NOTE Confidence: 0.815606471 8fc96f12-12e5-41ab-baae-4dac70936f71 00:08:32.476 --> 00:08:34.940 the highly accurate 3D elevation NOTE Confidence: 0.815606471 6971448d-9229-45e5-9c20-d9c3aadf3a85 00:08:34.940 --> 00:08:38.500 program data. Next slide. NOTE Confidence: 0.815606471 f3c5ed67-70d4-48de-af6f-1cbcc11e5ae2 00:08:38.500 --> 00:08:40.932 And so moving forward, NOTE Confidence: 0.815606471 46c8fb33-2faf-4690-9b41-d33eb3f98934 00:08:40.932 --> 00:08:43.364 deriving hydrography from elevation NOTE Confidence: 0.815606471 96c27c0c-e43c-4154-8d5f-cb74ff9be3e5 00:08:43.364 --> 00:08:46.918 offers a solution to really both NOTE Confidence: 0.815606471 b3b3209e-b531-4155-b7fb-95da386784a2 00:08:46.918 --> 00:08:48.038 those issues. NOTE Confidence: 0.815606471 3516a322-8581-4c49-83e4-f5567efadbd0 00:08:48.040 --> 00:08:50.644 So we've developed the 3D Hydrography Program NOTE Confidence: 0.815606471 a6f1383a-c7e2-4fa4-8af2-4f60f476094f 00:08:50.644 --> 00:08:54.051 as a means that will provide NOTE Confidence: 0.815606471 93db0bc2-6c58-44d7-9c7e-f5af41787490 00:08:54.051 --> 00:08:56.163 national consistency while meeting NOTE Confidence: 0.815606471 6bbf75b6-f3c8-4195-93b2-1fdb72aaa5a1 00:08:56.163 --> 00:08:59.666 local needs for hydrography and will NOTE Confidence: 0.815606471 dff09632-bfd3-451d-9dfb-6d620f383a60 00:08:59.666 --> 00:09:02.131 be hydrography data that's standardized NOTE Confidence: 0.815606471 855f5de4-72c6-4c6b-9ade-f48648dc50d7 00:09:02.131 --> 00:09:05.507 to align with our 3DEP data NOTE Confidence: 0.815606471 743df9c8-b43a-4600-809f-d073d2c81919 00:09:05.507 --> 00:09:08.752 and provide and support national,  NOTE Confidence: 0.815606471 d25b2913-c49b-4af2-bf43-ce29a5a524a9 00:09:08.752 --> 00:09:11.616 regional issues and applications, NOTE Confidence: 0.815606471 38d70e44-ead0-4b31-9151-d54c61afb9dc 00:09:11.620 --> 00:09:15.446 as well as local applications. And the NOTE Confidence: 0.815606471 a13e813e-ef6d-44c2-9289-e067f2ac5489 00:09:15.446 --> 00:09:17.567 idea here is that we would support NOTE Confidence: 0.815606471 c1938054-3fc8-443e-985c-4ac268c22b23 00:09:17.567 --> 00:09:20.256 with these data more accurate and NOTE Confidence: 0.815606471 8e30e8ee-f3d5-4fb4-81be-a60da855f197 00:09:20.256 --> 00:09:22.576 updated modeling and analysis capabilities. NOTE Confidence: 0.815606471 014f1fb1-ccc1-4488-9718-a3cae909c2ad 00:09:22.580 --> 00:09:23.142 And briefly, NOTE Confidence: 0.815606471 87099d60-fbe6-4931-aeb7-8285d5580731 00:09:23.142 --> 00:09:25.109 I'll talk about this a little more NOTE Confidence: 0.815606471 6632879a-6881-4d5e-a801-69523dc6b9c2 00:09:25.109 --> 00:09:26.120 in depth later, NOTE Confidence: 0.815606471 c10cb9de-d43a-44bd-bd36-028ec83366e6 00:09:26.120 --> 00:09:27.840 but our data acquisition processes NOTE Confidence: 0.815606471 0e6d65b8-ef56-4262-9777-c7e7f809c670 00:09:27.840 --> 00:09:29.945 for 3DEP will be different NOTE Confidence: 0.815606471 e4e672ef-f503-4a4a-ba49-70b81a3eb6c7 00:09:29.945 --> 00:09:32.185 from our current program, or I'm sorry, NOTE Confidence: 0.815606471 a8eb0d4a-6e4a-4c47-a5a8-1c20567d9cc8 00:09:32.185 --> 00:09:34.492 for 3DHP will be different from NOTE Confidence: 0.815606471 4f798cc1-420b-4e5e-af67-15fa4cb0456c 00:09:34.492 --> 00:09:36.618 our current program and then we'll NOTE Confidence: 0.815606471 06a7ce6c-dd23-4adc-8cb4-aec1d2a98ca6 00:09:36.618 --> 00:09:39.726 follow 3DEP best practices for NOTE Confidence: 0.815606471 94ebeb8d-2726-4cee-b5fa-eee561d2d0f8 00:09:39.730 --> 00:09:42.562 both coordinated governance and NOTE Confidence: 0.815606471 2b0b61cc-a6ab-40f5-b200-b8dc27dfc98e 00:09:42.562 --> 00:09:43.978 data acquisition. NOTE Confidence: 0.815606471 f82a4e3f-8d84-4b5b-8f59-177a5ef16962 00:09:43.980 --> 00:09:45.688 But we also want to build on NOTE Confidence: 0.815606471 b1b2bca5-d351-468e-9749-46f32a1aa175 00:09:45.688 --> 00:09:46.760 the decades of work, NOTE Confidence: 0.815606471 8c061262-7ff5-463a-a316-130ecc5ace36 00:09:46.760 --> 00:09:49.070 the decades of really good work, NOTE Confidence: 0.815606471 e817791d-abba-4d8e-94ba-1d6babfb31c3 00:09:49.070 --> 00:09:51.430 that has occurred from our NOTE Confidence: 0.815606471 1204eae8-e871-4853-b773-008756fd89f7 00:09:51.430 --> 00:09:53.020 current hydrography products. NOTE Confidence: 0.815606471 2c8f7ac6-433b-4e65-ab9d-879f0943d7f1 00:09:53.020 --> 00:09:53.670 Next slide. NOTE Confidence: 0.816270941111111 2e58b0d2-67a4-4ffe-9622-76b2d7b6a85f 00:09:56.240 --> 00:09:58.838 So we're not, we haven't developed NOTE Confidence: 0.816270941111111 c9491adf-18fb-497d-9fcc-85c2377e7550 00:09:58.838 --> 00:10:01.436 this concept for the 3D Hydrography NOTE Confidence: 0.816270941111111 3d3d4dfa-b218-4c52-befa-f43f7855cd9b 00:10:01.436 --> 00:10:03.794 Program in a vacuum. NOTE Confidence: 0.816270941111111 5dcab7ac-358d-4a75-8607-1ecd8b47fd56 00:10:03.800 --> 00:10:07.436 In 2016, we conducted a study, NOTE Confidence: 0.816270941111111 5e6bc182-efa7-41eb-a871-f5f644aa3c8e 00:10:07.440 --> 00:10:10.050 the Hydrography Requirements and Benefit Study, or HRBS, NOTE Confidence: 0.816270941111111 4c3ea62c-6af6-4379-ac74-4589ed979fae 00:10:10.050 --> 00:10:13.201 that documented numerous NOTE Confidence: 0.816270941111111 0109975e-89d7-4307-91c4-58e48355d879 00:10:13.201 --> 00:10:15.836 mission critical business uses across NOTE Confidence: 0.816270941111111 bc9a255a-b035-460a-bf65-3d15bb752174 00:10:15.836 --> 00:10:18.898 the user community for hydrography. NOTE Confidence: 0.816270941111111 3d2f0b2c-3c7a-473e-8946-3219224a6d3e 00:10:18.900 --> 00:10:21.012 And we found that hydrography data NOTE Confidence: 0.816270941111111 d6ea5140-bd35-4c2e-ae07-88ee22d59ebf 00:10:21.012 --> 00:10:24.317 as it sits is essential to a broad NOTE Confidence: 0.816270941111111 403cbd3c-8738-4cbc-abba-1e84583784d5 00:10:24.317 --> 00:10:26.137 range of critical applications NOTE Confidence: 0.816270941111111 6391d482-64db-4114-9569-e6c7b3db0a58 00:10:26.137 --> 00:10:28.370 across our user and partner groups. NOTE Confidence: 0.816270941111111 efc03e78-a76e-40fe-be6a-fb44fce3aa04 00:10:28.370 --> 00:10:32.005 And the current program NOTE Confidence: 0.816270941111111 f1987fcb-8829-422c-aa3a-59be510f0f49 00:10:32.005 --> 00:10:35.005 provides about 538 million in NOTE Confidence: 0.816270941111111 3b125ffd-b10c-4216-9c2f-0508e150539f 00:10:35.005 --> 00:10:37.580 annual benefits to its users. NOTE Confidence: 0.816270941111111 1e866542-08e3-45d2-bfe9-0f10bb5d4bb7 00:10:37.580 --> 00:10:40.639 But we also found that a modernized NOTE Confidence: 0.816270941111111 69598017-cd6d-4ec5-a694-c1a43460b523 00:10:40.639 --> 00:10:43.294 3D enabled Hydrography Program has a NOTE Confidence: 0.816270941111111 05c83d32-933f-4b89-ac27-85ba26ba4c42 00:10:43.294 --> 00:10:45.826 potential to provide over a billion NOTE Confidence: 0.816270941111111 8e862ffa-b669-4e46-9aa1-833b90169384 00:10:45.826 --> 00:10:48.586 dollars annually in NOTE Confidence: 0.816270941111111 7bf35abf-f739-402c-93c8-52f6621b292a 00:10:48.586 --> 00:10:51.542 benefits if all user requirements are met, NOTE Confidence: 0.816270941111111 b43e5cf4-3ceb-4bbb-93ed-8147e0a3f7ef 00:10:51.542 --> 00:10:53.964 as identified in the HRBS. Next Slide. NOTE Confidence: 0.933251733 7e842dd2-eb6d-4aa7-a0db-dc301f05f0b4 00:10:56.520 --> 00:10:59.796 And so we took a look at three scenarios NOTE Confidence: 0.933251733 95428720-9325-4da5-a223-b0fe76451894 00:10:59.796 --> 00:11:02.162 from the study to determine what we think NOTE Confidence: 0.933251733 d65caca9-21c1-4e06-992e-043e2a767b8c 00:11:02.162 --> 00:11:04.817 is the best path forward for the program. NOTE Confidence: 0.933251733 b968dad7-cf4c-4740-8af5-efb772627b5b 00:11:04.820 --> 00:11:08.096 And I'll take a minute to note that when NOTE Confidence: 0.933251733 f56e1f01-26a4-4f68-9937-4215cb85d85c 00:11:08.096 --> 00:11:11.755 I'm talking about half meter and 1 meter DEMs, NOTE Confidence: 0.933251733 8178b630-4a11-4fb2-b21b-8d0892df98ce 00:11:11.755 --> 00:11:14.530 I'm talking about the continental NOTE Confidence: 0.933251733 1380b4e7-186e-4c65-bdfd-708f9293bd4f 00:11:14.530 --> 00:11:17.870 United States, islands and territories. NOTE Confidence: 0.933251733 a9ab1144-37e9-44ae-89e2-6b9d0abe4b83 00:11:17.870 --> 00:11:21.482 3DEP data for Alaska is currently NOTE Confidence: 0.933251733 193e31d0-839c-49e5-afc6-a9e5eb9c7e05 00:11:21.482 --> 00:11:25.528 IfSAR data and provides us a  NOTE Confidence: 0.933251733 29e0a599-992f-4225-b94a-6cb78b5475ab 00:11:25.528 --> 00:11:30.600 5 meter digital terrain model, or DSM. NOTE Confidence: 0.933251733 d7132f42-39f1-434a-b06c-f460381bd1d5 00:11:30.600 --> 00:11:32.520 That were driving hydrography from. NOTE Confidence: 0.933251733 8c9ac381-6a05-40d6-8f53-0b7abd378eca 00:11:32.520 --> 00:11:35.624 So when I mentioned DEMs here it's for NOTE Confidence: 0.933251733 461460c3-59a4-4ca3-9d7f-4585f7c37928 00:11:35.624 --> 00:11:38.309 CONUS and islands and territories. NOTE Confidence: 0.933251733 4e349ea7-7dd7-4e5f-b2e0-27c56f378f20 00:11:38.310 --> 00:11:40.740 So I'll briefly say that the third NOTE Confidence: 0.933251733 b0522ae0-4ffa-4d9a-b2fb-4e18a94c795c 00:11:40.740 --> 00:11:43.431 scenario that we looked at is to NOTE Confidence: 0.933251733 60c33659-2a5b-4430-ad67-eeb3f7f67eba 00:11:43.431 --> 00:11:45.940 derive new data from half meter DEMs, NOTE Confidence: 0.933251733 72c11a28-6cb5-4cce-a3d3-528a42fab108 00:11:45.940 --> 00:11:49.580 but we don't currently in CONUS with NOTE Confidence: 0.933251733 fe19ba60-d98b-40aa-beb5-e2f473f1b18b 00:11:49.580 --> 00:11:52.727 LIDAR collections have consistent 3DEP NOTE Confidence: 0.933251733 909219b6-0eb5-4f51-bb8e-70b63c597461 00:11:52.727 --> 00:11:56.270 data that would support half meter DEMs NOTE Confidence: 0.933251733 c1f9584a-f771-4c56-8993-c5c88ee23c7e 00:11:56.270 --> 00:12:00.342 While we do have a lot of QL1 3DEP data, NOTE Confidence: 0.933251733 5408643a-bf84-41bd-9d1a-dbc5eaf9030d 00:12:00.342 --> 00:12:03.770 it's not coverage across the entire US. NOTE Confidence: 0.933251733 d51ed1c7-95de-42f1-a5af-151ce0bbd688 00:12:03.770 --> 00:12:06.255 So the the third scenario that you're NOTE Confidence: 0.933251733 063fad8b-cffc-4677-a727-279b126d9aec 00:12:06.255 --> 00:12:08.470 looking at here may be possible NOTE Confidence: 0.933251733 69870d72-b7b3-4845-8ccd-82f8ea4c1b2d 00:12:08.470 --> 00:12:10.178 in a future iteration of 3DEP, NOTE Confidence: 0.933251733 d54ff584-ad42-4797-8232-3c2bc6e67b7a 00:12:10.180 --> 00:12:13.396 but it's not really possible now. NOTE Confidence: 0.933251733 a4dcc461-8c30-4bdc-8bb6-4834029c5dab 00:12:13.400 --> 00:12:15.448 So our first scenario that we looked at NOTE Confidence: 0.933251733 5fb983d5-6f08-49bc-bc0a-df224c357a53 00:12:15.448 --> 00:12:18.019 is to just really look at the status quo, NOTE Confidence: 0.933251733 ce500d6d-aef4-47d3-a4a7-76313a76ec33 00:12:18.020 --> 00:12:22.011 just continue with the NHD and WBD and NOTE Confidence: 0.933251733 c2cb2b8b-4e08-4c4d-a481-52f29a03968a 00:12:22.011 --> 00:12:26.078 NHD plus high res as we currently are. NOTE Confidence: 0.933251733 92682280-aefc-4ca8-b484-806f790f266d 00:12:26.080 --> 00:12:28.704 And in this case, the data would NOTE Confidence: 0.933251733 867b5a78-2d2c-4356-9edd-b73da9c7e37d 00:12:28.704 --> 00:12:31.248 continue to vary by steward and by NOTE Confidence: 0.933251733 0ee87e5b-0e12-4a6e-ba03-315f80ce5785 00:12:31.248 --> 00:12:33.458 the resources the stewards are able NOTE Confidence: 0.933251733 b30dd6ab-7437-42a7-827e-c62ba1686d6e 00:12:33.458 --> 00:12:35.719 to bring to bear to the program. NOTE Confidence: 0.933251733 39b39523-4b47-4876-97dc-9a87219b455f 00:12:35.720 --> 00:12:39.192 And it does have the advantage and NOTE Confidence: 0.933251733 8e0b21d7-18d8-419d-9db1-8dfb57d6e6a8 00:12:39.192 --> 00:12:41.730 it's arguably has the lowest cost NOTE Confidence: 0.933251733 157301f9-d1f3-45db-ac1e-cca1ee7e07c5 00:12:41.730 --> 00:12:43.830 associated with it and probably NOTE Confidence: 0.933251733 39701050-42e7-4e13-a213-0f8cc08c9bee 00:12:43.830 --> 00:12:46.216 the lowest risk associated with it. NOTE Confidence: 0.933251733 af278df1-4ec1-4918-b203-148523be285b 00:12:46.220 --> 00:12:47.700 But based on the study, NOTE Confidence: 0.933251733 ce36befc-6df8-4a7e-b7c5-b48eb52ef75a 00:12:47.700 --> 00:12:50.374 it would leave major needs unmet and NOTE Confidence: 0.933251733 fef5d691-7d53-4ca0-8af8-20da45ae0253 00:12:50.374 --> 00:12:53.675 we would have growing inconsistency NOTE Confidence: 0.933251733 4ad27f4c-df75-481c-9b96-eaad0fe5a9a1 00:12:53.675 --> 00:12:55.745 and continued disconnect NOTE Confidence: 0.933251733 258ca7a6-e23b-4800-8dd8-a33accd2234e 00:12:55.750 --> 00:12:58.420 between our main topographic data, NOTE Confidence: 0.933251733 147e9a96-a5fd-4b14-b5da-9b12175a10fc 00:12:58.420 --> 00:13:01.240 which is the elevation and hydrography. NOTE Confidence: 0.933251733 4cbb5ace-61bd-4211-a3d8-8778ba93efd6 00:13:01.240 --> 00:13:04.090 So when evaluating these scenarios NOTE Confidence: 0.933251733 953f27ed-5779-48ef-936e-50c78e4c331e 00:13:04.090 --> 00:13:07.404 we landed on scenario 2 which is to NOTE Confidence: 0.933251733 404552ff-cb7e-4167-9aef-b6cd1fabdca5 00:13:07.404 --> 00:13:10.300 derive new data from 1 meter DEMs, NOTE Confidence: 0.933251733 b510b7a9-cf56-451a-8675-b378c2dd844a 00:13:10.300 --> 00:13:12.540 again, 5 meter in Alaska, NOTE Confidence: 0.933251733 cb332f1c-279c-4dc4-8be1-78ca5d6bfe72 00:13:12.540 --> 00:13:15.430 to provide that consistent NOTE Confidence: 0.933251733 b9ca31c2-4802-4505-97a7-ba6093a002ed 00:13:15.430 --> 00:13:16.586 nationwide coverage. NOTE Confidence: 0.933251733 614b47e9-66a2-43c8-af1c-02f673025a6e 00:13:16.590 --> 00:13:17.318 And we, NOTE Confidence: 0.933251733 9cf76c9e-3686-4fba-979b-2c0ffecc55d5 00:13:17.318 --> 00:13:19.502 we found that this scenario would NOTE Confidence: 0.933251733 498e28bc-59f7-44b4-9d73-88777d48f10b 00:13:19.502 --> 00:13:22.051 meet most of the needs of the NOTE Confidence: 0.933251733 e53cc9de-7268-4a5a-b19e-1735c55e346a 00:13:22.051 --> 00:13:23.447 respondents to the HRBS, NOTE Confidence: 0.933251733 ade654df-ade7-4274-99c5-22b1feafbe16 00:13:23.450 --> 00:13:27.146 but it is a scenario that will NOTE Confidence: 0.933251733 6e655be5-ebb3-464d-b644-3b2ef801e0bd 00:13:27.146 --> 00:13:28.690 require significant increased NOTE Confidence: 0.933251733 a021dd14-a098-4a50-8625-96ffba5795fb 00:13:28.690 --> 00:13:31.834 investment both from USGS and from NOTE Confidence: 0.933251733 643a417f-6e31-47b5-9dc9-645be4aad72a 00:13:31.834 --> 00:13:34.280 our partners to complete, NOTE Confidence: 0.933251733 bbe26400-5162-4e6c-9396-de9a58edfaf2 00:13:34.280 --> 00:13:36.855 and we estimate that completion NOTE Confidence: 0.933251733 fd3f7177-9857-4022-a26c-687130bab08e 00:13:36.855 --> 00:13:39.969 could happen in nine years if we NOTE Confidence: 0.933251733 cf99d6a8-a8a4-40da-bfe4-2249eb59e23d 00:13:39.970 --> 00:13:42.818 all get together behind this and NOTE Confidence: 0.933251733 a7565b8a-6aaa-415b-b6b3-ef19f0d8e0a1 00:13:42.818 --> 00:13:44.786 this effort and work towards  NOTE Confidence: 0.933251733 f7fcfc00-f956-4be4-8661-1f522abddeda 00:13:44.786 --> 00:13:46.800 the goal of completing it. NOTE Confidence: 0.933251733 6d30b00b-f9f1-4780-931c-90f515036683 00:13:46.800 --> 00:13:47.780 Next slide. NOTE Confidence: 0.802803411818182 1fc191ae-8fb2-4fd5-90a6-81ba048f9163 00:13:50.190 --> 00:13:52.332 Also quickly want to mention that you NOTE Confidence: 0.802803411818182 a5755046-5d6b-4eff-96d9-e14e7b4448c3 00:13:52.332 --> 00:13:55.189 know one of the key things to 3DHP NOTE Confidence: 0.802803411818182 a0081446-7837-40ac-96e6-490dfb4f0c69 00:13:55.189 --> 00:13:57.069 is supporting the Internet of Water. NOTE Confidence: 0.802803411818182 45afc680-8dce-459a-b21a-e9f0410a672f 00:13:57.070 --> 00:13:59.163 So the the basic premise behind the NOTE Confidence: 0.802803411818182 aa8c5487-e2c3-4ab9-9576-bd6f8753e2fc 00:13:59.163 --> 00:14:01.090 Internet of Water is that there's NOTE Confidence: 0.802803411818182 aca9eb7c-e29a-4535-b701-148e0600ce39 00:14:01.090 --> 00:14:03.022 an abundance of water related data NOTE Confidence: 0.802803411818182 e6da52e5-ad78-44ae-92f1-fe22478ac550 00:14:03.022 --> 00:14:04.983 that's collected across the nation by NOTE Confidence: 0.802803411818182 431d150d-ea5c-4610-980d-1b16e677fdd7 00:14:04.983 --> 00:14:07.107 a variety of agencies and entities. NOTE Confidence: 0.802803411818182 8641ea67-a548-465b-b880-ae3585616711 00:14:07.107 --> 00:14:11.403 But we lack a systematic way to organize, NOTE Confidence: 0.802803411818182 c0b5dfa1-3b8f-4432-ba55-bf9934b68955 00:14:11.410 --> 00:14:14.270 search for, and discover those NOTE Confidence: 0.802803411818182 cb7577ee-9152-43e1-a938-e70c5b6c8956 00:14:14.270 --> 00:14:17.130 data across entities and agencies. NOTE Confidence: 0.802803411818182 3b6014d0-5ac4-49e0-bb14-aa3d63321036 00:14:17.130 --> 00:14:19.740 So USGS and our federal partners NOTE Confidence: 0.802803411818182 b431447f-bbb5-41ae-9d2a-697dbfb53b53 00:14:19.740 --> 00:14:22.818 are developing a geospatial information NOTE Confidence: 0.802803411818182 4b129db2-baa3-47b8-918d-09544f63881a 00:14:22.818 --> 00:14:25.400 infrastructure that will allow for NOTE Confidence: 0.802803411818182 78b2c9c1-cafd-4f8a-88f1-4c1bcd30e691 00:14:25.400 --> 00:14:27.685 Federated sharing and discovering of NOTE Confidence: 0.802803411818182 59d07439-ccc4-42d8-a908-313ffce08b01 00:14:27.685 --> 00:14:30.355 water information in the context of NOTE Confidence: 0.802803411818182 e56c4664-4a98-4f1b-ba46-d744062f17a5 00:14:30.355 --> 00:14:33.057 the stream network. And 3DHP is NOTE Confidence: 0.802803411818182 d2280e90-427e-4631-8710-d986d6c92ae9 00:14:33.057 --> 00:14:36.096 intended to be that stream network to NOTE Confidence: 0.802803411818182 8bd71978-2051-4b2a-9d96-3441e0fc4263 00:14:36.096 --> 00:14:37.860 provide the geospatial underpinning NOTE Confidence: 0.802803411818182 213a3ce8-4705-4e7d-b809-a4fbf62a1b4d 00:14:37.935 --> 00:14:42.330 for the Internet of Water. Next slide. NOTE Confidence: 0.802803411818182 82b8af3d-9356-46a4-9226-caaaddd5ffeb 00:14:42.330 --> 00:14:44.110 So I mentioned briefly earlier, NOTE Confidence: 0.802803411818182 ecf241ab-6261-4840-b0d2-a78acbd91b97 00:14:44.110 --> 00:14:46.974 but I'll hit on it a little harder NOTE Confidence: 0.802803411818182 9d3608b8-1564-4ac3-b6b0-b5f1920b9008 00:14:46.974 --> 00:14:49.896 here that the idea is that 3DHP NOTE Confidence: 0.802803411818182 b1ec5af0-8f65-4873-8ab1-2e14024f9837 00:14:49.896 --> 00:14:53.300 will follow 3DEP in best practices NOTE Confidence: 0.802803411818182 71c3a5ce-9dd9-46a7-8e5a-d8c04e5ab243 00:14:53.300 --> 00:14:56.250 for data governance and acquisition. NOTE Confidence: 0.802803411818182 0e2049bd-6599-4755-a924-cdd032e9b8b7 00:14:56.250 --> 00:14:59.178 So we have plans (pending funding) to add NOTE Confidence: 0.802803411818182 4a8ec33b-0f59-4f8e-a976-0dba5c4b5b9e 00:14:59.178 --> 00:15:03.275 3DHP to the 3DEP Broad Agency Announcement  NOTE Confidence: 0.802803411818182 57266c96-0a0b-4878-839d-30fdf8532399 00:15:03.275 --> 00:15:06.083 to solicit partnerships for NOTE Confidence: 0.802803411818182 66c8cef9-4984-41d3-8468-5d1e71b813d4 00:15:06.083 --> 00:15:08.518 data acquisition to the broad community. NOTE Confidence: 0.802803411818182 93db91e2-e375-432b-95e6-ba316f4008ad 00:15:08.518 --> 00:15:10.203 And when we say partnerships, NOTE Confidence: 0.802803411818182 349c1555-09d3-4e0d-bffb-61000e9369e6 00:15:10.210 --> 00:15:13.330 we are talking about financial partnerships NOTE Confidence: 0.802803411818182 24d340b6-5ba8-4b30-826d-1bf93f3c1e43 00:15:13.330 --> 00:15:16.039 to share the burden of data NOTE Confidence: 0.802803411818182 b4f38f49-ee6e-4610-a9f7-0763c6876487 00:15:16.039 --> 00:15:17.707 collection and updating these NOTE Confidence: 0.802803411818182 19ccae31-971d-4444-a7a0-394be84e4d41 00:15:17.707 --> 00:15:19.857 data across our community. NOTE Confidence: 0.802803411818182 61ceeff6-3a59-4bcb-938e-76e1e7d90e49 00:15:19.860 --> 00:15:22.128 And the goal is to contract acquisition NOTE Confidence: 0.802803411818182 8ffa2179-039c-47f4-88d3-a5b57fc26b46 00:15:22.128 --> 00:15:25.271 of 3DHP primarily through the USGS NOTE Confidence: 0.802803411818182 97cb4322-9e71-44f3-80e5-c8765624a0b5 00:15:25.271 --> 00:15:27.896 Geospatial Products and Services Contracts, NOTE Confidence: 0.802803411818182 14e7b7bb-270e-43da-bfca-72188cceb50e 00:15:27.900 --> 00:15:29.930 which is the same vehicle or mechanism NOTE Confidence: 0.802803411818182 293bfc9b-da5a-4a37-88b2-6c6bb80ca8f9 00:15:29.930 --> 00:15:32.172 that we use for the lion share NOTE Confidence: 0.802803411818182 cfa223bd-a81a-4041-828c-25a8ea9f32bd 00:15:32.172 --> 00:15:33.812 of 3DEP data acquisition. NOTE Confidence: 0.802803411818182 ff67ba74-4172-4917-938c-7ec6304ccf27 00:15:33.820 --> 00:15:36.526 And we're already doing this effort NOTE Confidence: 0.802803411818182 b5ee8bb1-9b5d-4351-8693-38d6644009da 00:15:36.526 --> 00:15:39.775 or working on this effort in Alaska NOTE Confidence: 0.802803411818182 2700991a-c8c0-4473-9031-455a46dd79ef 00:15:39.775 --> 00:15:42.932 with the IfSAR data and supported by NOTE Confidence: 0.802803411818182 fc72c589-e877-43e7-961d-de18dfe43075 00:15:42.940 --> 00:15:47.388 AMEC and the Alaska Mapping funds that NOTE Confidence: 0.802803411818182 01208c31-e30a-4c6a-8059-0fbc4ab32090 00:15:47.390 --> 00:15:49.970 USGS benefits from. NOTE Confidence: 0.802803411818182 80181dd2-57c7-4a5b-94e7-bda61ee47040 00:15:49.970 --> 00:15:52.866 And so the other key to this is NOTE Confidence: 0.802803411818182 4974f8d9-3d55-4362-9963-3d35c731e31f 00:15:52.866 --> 00:15:55.310 providing specifications for the data. NOTE Confidence: 0.802803411818182 4f9573af-fe88-4f3f-acbd-4cd15a11e1e9 00:15:55.310 --> 00:15:57.390 So not directing contractors NOTE Confidence: 0.802803411818182 0e0a0887-eee3-45d0-9c11-abb8b6da014f 00:15:57.390 --> 00:15:59.908 specifically how to collect the data, NOTE Confidence: 0.802803411818182 139d9213-df15-4c61-ba08-671cec1e8818 00:15:59.910 --> 00:16:02.200 but providing a specification that NOTE Confidence: 0.802803411818182 d3f9b3b5-156f-470a-bf9b-fa2f816b59a6 00:16:02.200 --> 00:16:05.505 indicates what the bar is that has to NOTE Confidence: 0.802803411818182 64010182-982f-4de5-8f5f-1b741c537642 00:16:05.505 --> 00:16:08.230 be met to bring data into the 3DHP. NOTE Confidence: 0.802803411818182 4220b000-565e-4cdb-8dc1-9289d78b5b3e 00:16:08.230 --> 00:16:11.716 And those are in our current specifications NOTE Confidence: 0.802803411818182 1d371002-7d70-453e-8197-5961187cd662 00:16:11.716 --> 00:16:14.729 which are being updated actively, NOTE Confidence: 0.802803411818182 148749ef-425d-46a5-8e0e-665a2e305614 00:16:14.730 --> 00:16:16.386 kind of almost as we speak. NOTE Confidence: 0.802803411818182 09dd2739-c9fc-449a-8208-954f6f6c19b6 00:16:16.390 --> 00:16:19.040 Next slide. NOTE Confidence: 0.802803411818182 ab7cb37e-5337-4d45-924f-aecb8f4ecdbe 00:16:19.040 --> 00:16:23.004 So just wanna hit quickly on the idea NOTE Confidence: 0.802803411818182 79b1d869-c39a-41f3-8c2b-96c834fdb3bc 00:16:23.004 --> 00:16:25.740 that all our partners have a role to NOTE Confidence: 0.802803411818182 cd587728-d672-4c56-bf2d-16b7beb27cf1 00:16:25.825 --> 00:16:28.153 play in our Hydrography Program and NOTE Confidence: 0.802803411818182 0ad39f47-1fd2-4303-986b-af69c81ba540 00:16:28.153 --> 00:16:31.915 this is true of the NHD and the WBD as well. NOTE Confidence: 0.802803411818182 78287a23-0503-4cbf-a1bf-cbbcf09f5303 00:16:31.920 --> 00:16:35.520 USGS manages these data on behalf NOTE Confidence: 0.802803411818182 94819b3f-cbac-4052-a0cc-7c1f03c21126 00:16:35.520 --> 00:16:37.920 of the hydrography community, NOTE Confidence: 0.802803411818182 2ef9b63f-c3fb-476f-befe-8fab4794f4b3 00:16:37.920 --> 00:16:40.978 but we need our federal, state, NOTE Confidence: 0.802803411818182 477a4913-638d-4244-8165-62ddda635725 00:16:40.978 --> 00:16:42.414 local, academic, NOTE Confidence: 0.802803411818182 9da4197f-5e59-4a1b-a772-6517cb6baa5c 00:16:42.414 --> 00:16:46.004 tribal and private partners to NOTE Confidence: 0.802803411818182 8bbfeaf6-6512-4ce3-a729-30ab57e72b7c 00:16:46.004 --> 00:16:48.830 help us to collect NOTE Confidence: 0.802803411818182 c71b9dbd-23af-4b8f-80b1-4935123d8aea 00:16:48.830 --> 00:16:53.406 and to manage these data and to develop NOTE Confidence: 0.802803411818182 c61102a8-3957-44ec-bec0-e7a68aa5b072 00:16:53.410 --> 00:16:55.142 new applications and innovations NOTE Confidence: 0.802803411818182 e51aa669-1df2-427a-9251-0841dd58e74e 00:16:55.142 --> 00:16:58.698 on the data that we hope that 3DHP NOTE Confidence: 0.802803411818182 22eb9e74-461d-429f-9661-4f594cf75455 00:16:58.698 --> 00:17:01.778 will allow us to expand those NOTE Confidence: 0.802803411818182 de0cf0d0-661c-4228-b737-39782c3fc3b8 00:17:01.778 --> 00:17:03.643 applications and innovations as NOTE Confidence: 0.802803411818182 3e1599f1-7d44-43e6-ad0c-2d12739c7e58 00:17:03.643 --> 00:17:06.325 we move forward across the nation. NOTE Confidence: 0.802803411818182 08954c7a-0cb2-466e-b2dc-bed22b3daf05 00:17:06.330 --> 00:17:06.726 Next slide. NOTE Confidence: 0.802803411818182 e629aac8-e7c8-46ba-a536-2d43d3912ecf 00:17:06.726 --> 00:17:08.310 And I think I'll pass it on to NOTE Confidence: 0.802803411818182 b691ece4-31c0-43cb-9f98-7be23f0e3b5c 00:17:08.364 --> 00:17:09.308 Steve at this point. NOTE Confidence: 0.695342544 0b470619-730e-48d4-83e4-18d2dce7f242 00:17:11.720 --> 00:17:14.216 Steve: All right. Thanks, Sue. NOTE Confidence: 0.695342544 17a82042-be96-49b6-9dd6-8822543f5ef8 00:17:14.216 --> 00:17:16.324 So tying up a few of the  NOTE Confidence: 0.695342544 ff2c5cc5-e767-47f5-9a10-53eb4193174e 00:17:16.330 --> 00:17:18.794 last few slides that Sue mentioned, NOTE Confidence: 0.695342544 2f51b906-84a0-4270-9533-4aad98199138 00:17:18.800 --> 00:17:21.978 it really our goals for the 3D NOTE Confidence: 0.695342544 3905e62e-e46b-4534-8e3b-a05993a6453a 00:17:21.978 --> 00:17:24.622 Hydrography Program are to first NOTE Confidence: 0.695342544 d181296e-3b77-4b10-9597-1fe066515ece 00:17:24.622 --> 00:17:27.827 and foremost to vertically align, NOTE Confidence: 0.695342544 802f444b-7eac-46c9-a52a-daa06fb8384a 00:17:27.830 --> 00:17:28.961 align vertically, NOTE Confidence: 0.695342544 5a0fd465-b56e-4c66-9027-dec4b434e61a 00:17:28.961 --> 00:17:30.092 horizontally and temporally NOTE Confidence: 0.695342544 7616756b-79fe-43c4-8fb0-1b4732d3e4da 00:17:30.092 --> 00:17:31.930 with the 3DEP data. NOTE Confidence: 0.695342544 90160cc9-d97d-4665-bc2c-03834ea51a09 00:17:31.930 --> 00:17:34.722 This is by far the number one concern NOTE Confidence: 0.695342544 1a70a5c5-4245-4ab4-8429-12ce1d0621dc 00:17:34.722 --> 00:17:37.545 that has come out of the HRBS study. NOTE Confidence: 0.695342544 ed36b126-27da-48b4-a2f3-5275dfb56147 00:17:37.550 --> 00:17:38.720 It's something that, NOTE Confidence: 0.695342544 3e41cb73-ebd0-4728-80f0-0a09b1869656 00:17:38.720 --> 00:17:41.190 we encounter NOTE Confidence: 0.695342544 21658057-11d2-4064-9fca-96ea17a00d04 00:17:41.190 --> 00:17:44.830 really every day trying to use the data, NOTE Confidence: 0.695342544 7f20f29c-0824-455f-8a43-be4341d65876 00:17:44.830 --> 00:17:46.580 bringing that data into alignment NOTE Confidence: 0.695342544 807045e8-8155-42b2-8206-22de60cb666e 00:17:46.580 --> 00:17:48.746 with the elevation data is NOTE Confidence: 0.695342544 1e1b27fa-22e4-4e6d-8faa-51407559deb5 00:17:48.746 --> 00:17:50.496 first and foremost a requirement. NOTE Confidence: 0.695342544 3fb94a10-d8bf-4887-9721-94b59595d6a5 00:17:50.500 --> 00:17:52.866 But we've had many years NOTE Confidence: 0.695342544 682ce226-9fbf-42dc-9aa3-21bb8f4bb925 00:17:52.866 --> 00:17:54.926 now of experience with the  NOTE Confidence: 0.695342544 1c69f5e7-d6bc-4b80-a02b-e6d4ad752e16 00:17:54.926 --> 00:17:56.876 3D Elevation Program and that gives NOTE Confidence: 0.695342544 4e5f70c7-00a2-461d-bfaa-96a773c3b412 00:17:56.876 --> 00:17:59.157 us an opportunity to learn from NOTE Confidence: 0.695342544 8bd36d00-bb39-4918-a6e8-ed07d9590423 00:17:59.160 --> 00:18:01.855 what's been successful there in terms of NOTE Confidence: 0.695342544 d9a7ffb7-5df6-44fe-899c-1bdfffac684e 00:18:01.855 --> 00:18:03.980 adopting best practices for governance, NOTE Confidence: 0.695342544 2cbc41dd-71a6-4498-8f1e-da86685f313c 00:18:03.980 --> 00:18:06.170 best practices NOTE Confidence: 0.695342544 034f4bca-39e4-44ab-a3f2-a07467f423dd 00:18:06.170 --> 00:18:10.030 for acquisitions and models for NOTE Confidence: 0.695342544 f4b7b528-f353-4c5d-871f-7c35794d3c52 00:18:10.030 --> 00:18:13.370 specification data validation processes. NOTE Confidence: 0.695342544 db8b8eac-198a-4b1d-8468-7d0aa71216a0 00:18:13.370 --> 00:18:15.404 The other thing that we're really NOTE Confidence: 0.695342544 be76f742-cd2e-4b32-b943-b3ef32d29c59 00:18:15.404 --> 00:18:17.867 looking to do here is to move from NOTE Confidence: 0.695342544 3b91fb1f-00a8-4d99-822a-247737d64bbd 00:18:17.870 --> 00:18:20.468 the NHD model, NOTE Confidence: 0.695342544 a550bddb-40e0-4bf3-b204-3fded444b1af 00:18:20.470 --> 00:18:23.278 which is really a surface water NOTE Confidence: 0.695342544 94db99d1-93e9-485a-a0ac-73cf8b3167f3 00:18:23.278 --> 00:18:25.882 model, to something that has  NOTE Confidence: 0.695342544 89915d59-7f51-4703-bece-a88f03734ccb 00:18:25.882 --> 00:18:28.707 the ability to better account NOTE Confidence: 0.695342544 e0c8282b-3e2a-4c01-a5c1-001cccda0796 00:18:28.707 --> 00:18:31.509 for the full cycle of hydrology, NOTE Confidence: 0.695342544 a1053964-8d9f-4c10-8b3f-69d010132b03 00:18:31.510 --> 00:18:34.408 the full process of how water NOTE Confidence: 0.695342544 a5d7cd73-3f97-478c-b28b-c6cc59efb07d 00:18:34.408 --> 00:18:36.670 flows through the environment. NOTE Confidence: 0.695342544 944e8347-24eb-458a-857a-09970d84a464 00:18:36.670 --> 00:18:38.110 Whether that's in groundwater, NOTE Confidence: 0.695342544 b8b83188-40ed-4326-a00b-467aa34f9085 00:18:38.110 --> 00:18:39.798 whether that's in wetlands, NOTE Confidence: 0.695342544 85191eec-20e2-40d6-99dc-808be9f62c29 00:18:39.798 --> 00:18:41.908 whether that's in storm drains, NOTE Confidence: 0.695342544 c1d07ee2-5c64-4376-b950-d6381459fed9 00:18:41.910 --> 00:18:43.680 but provide that sort of NOTE Confidence: 0.695342544 68ed59f1-8ea5-44d9-91fe-b4dd1dedf663 00:18:43.680 --> 00:18:49.000 that routing ability for  NOTE Confidence: 0.695342544 b2e9cd88-ad45-4f23-97a5-3571013e7f4e 00:18:49.000 --> 00:18:51.520 applications like the National NOTE Confidence: 0.695342544 fce1ef70-f84c-4aef-9df1-981e615b9f63 00:18:51.520 --> 00:18:54.364 Water Census. And then finally  NOTE Confidence: 0.695342544 4c48aae9-17be-4ec8-b3fa-c88a746abbb2 00:18:54.364 --> 00:18:56.740 being able to interact NOTE Confidence: 0.695342544 435f4f1e-1a44-4b8f-aec2-ceb8dce4b50c 00:18:56.820 --> 00:18:59.137 with other data sets in a more, NOTE Confidence: 0.695342544 d19990f8-f3f8-4b04-9b54-c1112625f1ae 00:18:59.140 --> 00:19:00.036 more logical, NOTE Confidence: 0.695342544 0e9c41a7-1a38-4a80-9efe-13f041f659ca 00:19:00.036 --> 00:19:01.828 more meaningful way, datasets NOTE Confidence: 0.695342544 29afec37-0127-4df5-a1cd-d087cd6919dc 00:19:01.828 --> 00:19:04.398 that either affect water flow NOTE Confidence: 0.695342544 9c6b7dce-9822-4028-98dd-af38d1c1759c 00:19:04.398 --> 00:19:06.516 or are affected by water flow, NOTE Confidence: 0.695342544 452e982a-7ab3-447d-b133-23cd24a03a80 00:19:06.520 --> 00:19:08.748 things like surficial geology NOTE Confidence: 0.695342544 1d1d0b34-9920-4175-ab52-7fe506caf0a1 00:19:08.748 --> 00:19:10.976 and land cover transportation NOTE Confidence: 0.695342544 383b4e04-cefa-42db-87a3-47f94242d744 00:19:10.976 --> 00:19:13.600 networks doing a flooding context. NOTE Confidence: 0.695342544 6b5e2d40-8232-41fe-bd4b-22105c1c39e9 00:19:13.600 --> 00:19:17.265 Providing that a more modern NOTE Confidence: 0.695342544 fde9e27b-136c-46d6-a9e2-e48f445fc1e5 00:19:17.265 --> 00:19:19.632 interoperability form is a NOTE Confidence: 0.695342544 7672855d-eb7c-4e93-bc97-f958faba8e9a 00:19:19.632 --> 00:19:22.896 real priority for the data set. NOTE Confidence: 0.695342544 10c5321c-a4e2-4742-bef3-fc48b7e0d065 00:19:22.900 --> 00:19:25.780 So. NOTE Confidence: 0.695342544 422ec763-652f-49ad-80f2-d274f9dd4d41 00:19:25.780 --> 00:19:27.748 Walk through that maybe we've seen NOTE Confidence: 0.695342544 8b022d6a-80e6-4e57-84d4-ab2f5ff5bfe3 00:19:27.748 --> 00:19:29.940 this slide before one of iterations, NOTE Confidence: 0.695342544 615154d3-eab2-4bf9-aae4-b35f35429c45 00:19:29.940 --> 00:19:33.124 but you know one of the NOTE Confidence: 0.695342544 9190f5b3-7dbe-4e43-aaab-019c8bb7a867 00:19:33.124 --> 00:19:36.167 challenges that we have in this NOTE Confidence: 0.695342544 b9b6cd0e-6911-42a9-a70a-8fa8301bfb90 00:19:36.167 --> 00:19:39.148 in hydrography for many years is to be NOTE Confidence: 0.695342544 d149756b-c405-4706-9c30-703e95d15db9 00:19:39.148 --> 00:19:41.988 able to provide both detail so that NOTE Confidence: 0.695342544 eef9707a-ba81-42f2-9506-c1bd7cfde958 00:19:41.988 --> 00:19:45.447 you can go out and find the stream NOTE Confidence: 0.695342544 ebbed681-3cd6-456a-b5a0-37c42dc6cfcb 00:19:45.447 --> 00:19:47.400 where where you've sampled NOTE Confidence: 0.695342544 932f15ae-6a36-47d1-a3bf-e983538cfae4 00:19:47.400 --> 00:19:50.038 or where you took a measurement and NOTE Confidence: 0.695342544 0d8bbfbf-02db-4548-8f46-5205a73a956b 00:19:50.038 --> 00:19:53.244 also be able to provide support for NOTE Confidence: 0.695342544 cc07e0fa-cb9e-4a3b-b2d8-1fedc65b1bb8 00:19:53.244 --> 00:19:55.945 national level modeling and prediction NOTE Confidence: 0.695342544 258c46f1-bf08-43fa-8aa8-db2e396a832d 00:19:55.945 --> 00:19:58.325 applications. And so that NOTE Confidence: 0.695342544 24b1b49d-ff8f-4dd5-8b30-148fb7997684 00:19:58.325 --> 00:20:00.965 generalization is a key component NOTE Confidence: 0.695342544 955c50f2-c4e1-4478-9aeb-0059fc26b077 00:20:00.965 --> 00:20:04.350 of where we need to go with 3DHP. NOTE Confidence: 0.695342544 17494787-0b4c-4c9b-a8b2-e2a3918fc685 00:20:04.350 --> 00:20:06.142 Similarly, spatial accuracy, NOTE Confidence: 0.695342544 af70107f-7624-452c-a7fb-8e912fd944fb 00:20:06.142 --> 00:20:09.845 that brings it to basically NOTE Confidence: 0.695342544 dda2e968-0456-4321-9fdb-43db61d960e0 00:20:09.845 --> 00:20:13.710 the same accuracy as 3DEP. NOTE Confidence: 0.695342544 1165e322-8204-4d0c-86ff-9be6d7012b1d 00:20:13.710 --> 00:20:17.250 And moving to better integrate those NOTE Confidence: 0.695342544 4b65b35d-d0e9-4925-b1aa-06906e3c7274 00:20:17.250 --> 00:20:21.245 data sets so that they are well, NOTE Confidence: 0.695342544 758a9472-e4da-408a-87d3-827b0c39cd58 00:20:21.245 --> 00:20:23.020 so that they function together. NOTE Confidence: 0.695342544 bb894424-eb57-4529-8071-df15e7840976 00:20:23.020 --> 00:20:26.670 The possibility that the... NOTE Confidence: 0.876983425 a5bf6409-bde7-4324-91bb-4813c9e01a39 00:20:28.870 --> 00:20:32.530 Well, actually so this metric NOTE Confidence: 0.876983425 f37915d9-fe91-472a-8c16-560f1a5a8e76 00:20:32.530 --> 00:20:35.098 reported here talks about the percent NOTE Confidence: 0.876983425 053bfaeb-fc8a-4117-9f4d-7108b772b9f5 00:20:35.098 --> 00:20:37.316 of mission critical activities. When we NOTE Confidence: 0.876983425 d5e4af33-d795-4f10-83ae-83dccca37964 00:20:37.316 --> 00:20:38.834 actually crunched these numbers a little NOTE Confidence: 0.876983425 9656d181-4604-4f57-8c9e-8b5aca4e3c92 00:20:38.834 --> 00:20:40.529 bit differently to look at the value NOTE Confidence: 0.876983425 bd33a653-d5bf-40b4-8df7-caef6897a4ea 00:20:40.529 --> 00:20:41.674 of those mission critical activities, NOTE Confidence: 0.876983425 f4d7cd1f-32f4-434d-8c8a-df6866a233ea 00:20:41.680 --> 00:20:43.584 this elevation and hydrography NOTE Confidence: 0.876983425 87af6d0f-a3c4-4701-a210-570b08bc26a2 00:20:43.584 --> 00:20:45.488 integration scored even higher. NOTE Confidence: 0.927835971818182 abdbb976-c8a8-4bef-ba14-5ff3e5d272ff 00:20:47.550 --> 00:20:49.350 We also want to be able NOTE Confidence: 0.927835971818182 d9046999-97be-4d27-836c-52d7c131ec04 00:20:49.350 --> 00:20:51.210 to do things like predict, NOTE Confidence: 0.927835971818182 dd1dcb00-469e-4be2-857a-020436f706bb 00:20:51.210 --> 00:20:53.928 actively update features on a NOTE Confidence: 0.927835971818182 d240c1a4-7f34-4157-aa00-c5e52df23f60 00:20:53.928 --> 00:20:57.619 regular basis on a predictable schedule, NOTE Confidence: 0.927835971818182 9f7caa48-076b-408d-90a7-3b9bb06f96cd 00:20:57.620 --> 00:21:00.588 and also be able to fix known errors NOTE Confidence: 0.927835971818182 fd594770-2863-4f83-9bc0-c5c50ab2a117 00:21:00.588 --> 00:21:03.676 on a routine and ongoing basis. NOTE Confidence: 0.860199993333333 abfacaf0-7f94-4fbe-9365-26068344cec5 00:21:06.800 --> 00:21:09.098 Really, the whole point of this NOTE Confidence: 0.860199993333333 5150138c-aafc-4b7c-8c3f-19a4949682a1 00:21:09.100 --> 00:21:10.480 making a great data set  NOTE Confidence: 0.860199993333333 ffc5865a-11d6-4e6e-814b-5adc3a70737c 00:21:10.480 --> 00:21:12.237 is all fine and dandy, NOTE Confidence: 0.860199993333333 54fb8fec-4503-49b7-8e9e-00d106ec0984 00:21:12.240 --> 00:21:14.504 but the point of this is to improve NOTE Confidence: 0.860199993333333 29e60c58-1c24-4807-8d08-c4c298e13d28 00:21:14.504 --> 00:21:17.178 what we can do in terms of applications NOTE Confidence: 0.860199993333333 d76f619d-3f09-4ac3-a697-1cd36e80c279 00:21:17.180 --> 00:21:18.924 and what we can learn from the data, NOTE Confidence: 0.860199993333333 767c104e-f1bc-484e-aa81-e9f3cc883a4e 00:21:18.930 --> 00:21:21.636 what we can learn from analysis. NOTE Confidence: 0.860199993333333 ee1dcb23-78e9-4b91-9f68-4f4772eeec46 00:21:21.640 --> 00:21:23.674 And we're all probably NOTE Confidence: 0.860199993333333 e733f7f0-fcc4-4078-b4da-bd9c733d61e7 00:21:23.674 --> 00:21:26.044 fairly familiar with the NHD Plus High Res NOTE Confidence: 0.860199993333333 70b64d38-8944-418f-aedb-5b795137d518 00:21:26.044 --> 00:21:27.946 and NHD Plus Medium Resolution. NOTE Confidence: 0.860199993333333 f94cfc0e-d13d-455c-841d-3fb88379ca51 00:21:27.950 --> 00:21:30.814 What we've been able to do with NOTE Confidence: 0.860199993333333 91e1841f-171a-4b78-aa5e-c69c85e53684 00:21:30.814 --> 00:21:33.504 that as those integrated both of NOTE Confidence: 0.860199993333333 0571a8c2-cf0d-4631-b454-1eb7ae4f7c23 00:21:33.504 --> 00:21:34.964 the positional accuracies NOTE Confidence: 0.860199993333333 6ece7363-516f-4f2c-ae54-733ed9ca9049 00:21:34.964 --> 00:21:36.500 of the 100K and the 24k NOTE Confidence: 0.860199993333333 f8e54828-8c1f-47bd-b174-d7573ea55123 00:21:36.500 --> 00:21:41.820 hydrography with the respective DEMs. NOTE Confidence: 0.860199993333333 a959df29-be8f-48de-9ef0-205795210b72 00:21:41.820 --> 00:21:47.020 Moving into a LIDAR based environment NOTE Confidence: 0.860199993333333 7a148674-cd2e-49f3-8c60-524d7ff9e918 00:21:47.020 --> 00:21:51.540 really changes the level of specificity NOTE Confidence: 0.860199993333333 f0446553-fb74-4822-929c-aeebefe03f0b 00:21:51.540 --> 00:21:54.340 little detail that is available, NOTE Confidence: 0.860199993333333 3e069333-8ed8-48c5-961d-99462828bf91 00:21:54.340 --> 00:21:57.588 and if you look at the bottom graphic NOTE Confidence: 0.860199993333333 967ad160-c6b0-4b96-a7bc-d61ef0bfbec4 00:21:57.588 --> 00:21:59.794 here you can see individual NOTE Confidence: 0.860199993333333 0767affb-9906-46a5-b699-cf719d22050b 00:21:59.794 --> 00:22:02.259 trees, could be individual buildings, NOTE Confidence: 0.860199993333333 761c2455-fb00-40fa-9fde-8351db0728aa 00:22:02.260 --> 00:22:06.084 power lines up in the distance. NOTE Confidence: 0.860199993333333 75d2f9a5-8ad8-4957-bdf4-cf28ceee1c89 00:22:06.090 --> 00:22:08.454 Being able to forecast with a NOTE Confidence: 0.860199993333333 683fa378-1426-475b-be85-2cbc021cc26d 00:22:08.454 --> 00:22:10.890 fairly high degree of certainty, NOTE Confidence: 0.860199993333333 743fc4e8-6666-4fef-825c-54c8f059c536 00:22:10.890 --> 00:22:12.465 which buildings will NOTE Confidence: 0.860199993333333 7f970d84-849a-4d51-99b7-98d659669609 00:22:12.465 --> 00:22:14.290 be flooded in an event, or NOTE Confidence: 0.860199993333333 53bf7d44-cb5a-4ced-8c01-63d2c3a5f5a2 00:22:14.290 --> 00:22:16.190 which infrastructure will be NOTE Confidence: 0.860199993333333 f1f808ed-6c49-4944-892d-efbd86f0dae4 00:22:16.190 --> 00:22:20.384 disrupted in an event really is a NOTE Confidence: 0.860199993333333 9fe0fb87-12cc-4fd8-a144-4f07b0567375 00:22:20.384 --> 00:22:24.707 massive value of having this integrated data. NOTE Confidence: 0.860199993333333 d0719fbb-c73a-4f66-bd95-cfe319d9380c 00:22:24.710 --> 00:22:27.390 But similarly applications like the NOTE Confidence: 0.860199993333333 3e736259-a854-454c-a787-71722ff82a77 00:22:27.390 --> 00:22:30.480 national water model running up in NOTE Confidence: 0.860199993333333 6a07d4b4-6776-44b9-b325-cd8a118477a1 00:22:30.480 --> 00:22:33.328 the upper frame rely on being NOTE Confidence: 0.860199993333333 c73906a7-3854-4daa-bf79-00a935d76759 00:22:33.328 --> 00:22:36.018 able to aggregate and interpret NOTE Confidence: 0.860199993333333 30aa2bc7-dc18-4d4f-a8a5-290702c7cce8 00:22:36.020 --> 00:22:39.972 that data at a continental scale. NOTE Confidence: 0.860199993333333 d9249fa2-f9e3-49ca-ad54-3351b85bc700 00:22:39.972 --> 00:22:42.502 This is really sort of one of the NOTE Confidence: 0.860199993333333 c44bfae7-fba0-4f0d-b079-4ca00105d12e 00:22:42.502 --> 00:22:45.170 fundamental challenges of where we're going. NOTE Confidence: 0.890675048571429 a0f9125f-699c-4b9f-916a-c5db853e0c5e 00:22:47.550 --> 00:22:49.962 Talked a little bit earlier about NOTE Confidence: 0.890675048571429 8c50ecf9-b931-4196-ae98-7ae77a373009 00:22:49.962 --> 00:22:52.090 interoperability and really being able NOTE Confidence: 0.890675048571429 9f11c6e2-839d-4055-a1f0-ab13f08719ce 00:22:52.090 --> 00:22:55.351 to link other pieces of the hydrologic NOTE Confidence: 0.890675048571429 266891ce-a468-496b-b46a-fdf24c4ff332 00:22:55.351 --> 00:22:58.885 cycle into the hydrography data set. NOTE Confidence: 0.890675048571429 e5827a30-3d96-42f4-bc19-2b89594db48a 00:22:58.890 --> 00:23:00.690 Better alignments with NOTE Confidence: 0.890675048571429 151d7b3e-9b34-4655-8aa3-0fb906020c4f 00:23:00.690 --> 00:23:02.130 the National Wetlands Inventory, NOTE Confidence: 0.890675048571429 3cdce7a0-2a58-46fc-be49-6f4af031a210 00:23:02.130 --> 00:23:03.922 wetlands are a critical NOTE Confidence: 0.890675048571429 703120eb-2de9-4b2c-834b-b81e4a696caa 00:23:03.922 --> 00:23:06.162 part of inland surface waters. NOTE Confidence: 0.890675048571429 60ea4381-bc76-4187-8a8a-e96d8bd935ca 00:23:06.170 --> 00:23:09.383 NHD has not necessarily done a great job of NOTE Confidence: 0.890675048571429 97a1fc6b-00ac-4881-99e3-933ff014f01c 00:23:09.383 --> 00:23:11.529 representing them over the years. NOTE Confidence: 0.890675048571429 94888686-b5b7-48d8-b044-66ccace66e96 00:23:11.530 --> 00:23:14.306 NWI has that mission. NOTE Confidence: 0.890675048571429 2f89b26d-004b-47c5-a1ad-e86e25648d82 00:23:14.306 --> 00:23:17.474 And we need to be able to incorporate NOTE Confidence: 0.890675048571429 791cc972-bb8b-4137-a1ad-b8370bb6a1b3 00:23:17.480 --> 00:23:20.060 that data into our NOTE Confidence: 0.890675048571429 a09b7afa-8fa2-475a-8504-763a88d1ef3a 00:23:20.060 --> 00:23:23.108 processes in our systems. NOTE Confidence: 0.890675048571429 524b44c9-a5db-4f1d-bd9d-0005b95be35d 00:23:23.110 --> 00:23:25.294 Similarly, we're all familiar with NOTE Confidence: 0.890675048571429 09c090ca-da0f-4911-9efc-0c2b2b0e27b0 00:23:25.294 --> 00:23:27.652 the urban deserts across  NOTE Confidence: 0.890675048571429 1f9050e7-0560-402f-9143-df6ba075bb6b 00:23:27.652 --> 00:23:29.969 topo maps and the NHD. NOTE Confidence: 0.890675048571429 a59122c6-faf1-491b-ace4-9956748af29c 00:23:29.970 --> 00:23:32.380 Many places where we don't NOTE Confidence: 0.890675048571429 4e563b9b-6910-4a0b-ab09-e8c19766a5f9 00:23:32.380 --> 00:23:34.790 represent hydrography very well NOTE Confidence: 0.890675048571429 e518cbfb-fa18-4306-ac42-1e083c91f836 00:23:34.790 --> 00:23:36.119 in built environments. NOTE Confidence: 0.890675048571429 e28e134c-d969-46a6-ad72-d7edf0225f53 00:23:36.119 --> 00:23:40.070 So we need to be able to include NOTE Confidence: 0.890675048571429 858724e5-e974-4d03-a2cc-2f17c405cf65 00:23:40.070 --> 00:23:40.736 representations, NOTE Confidence: 0.890675048571429 bff8a389-6b84-42bd-8452-944608617a8b 00:23:40.736 --> 00:23:44.066 if not necessarily detailed engineering NOTE Confidence: 0.890675048571429 02101429-d891-47af-ae56-0a80c574e9ff 00:23:44.070 --> 00:23:46.610 of those engineered hydrologic systems. NOTE Confidence: 0.890675048571429 c118fa17-f5dd-4bab-a309-c96735b661af 00:23:46.610 --> 00:23:48.990 So knowing where the water NOTE Confidence: 0.890675048571429 711a01d0-02e2-4f8e-ab2e-8571f21592d4 00:23:48.990 --> 00:23:51.170 enters and where the water leaves NOTE Confidence: 0.890675048571429 42ead1a8-1c07-482b-98ec-47f0f06c5dcc 00:23:51.170 --> 00:23:52.043 may be NOTE Confidence: 0.890675048571429 de81aa75-db01-403f-80e8-764a5f670312 00:23:52.043 --> 00:23:53.207 sufficient, NOTE Confidence: 0.890675048571429 b1500415-8b6a-47ce-a944-f4993dc31e4c 00:23:53.210 --> 00:23:55.586 but rather than knowing every specific pipe, NOTE Confidence: 0.890675048571429 1a77e7ba-894a-4a4d-8182-da90f27c61d2 00:23:55.590 --> 00:23:57.726 but we need to be able to account NOTE Confidence: 0.890675048571429 89de4977-2ebf-41b7-8ef7-54b298106f92 00:23:57.726 --> 00:23:59.657 for that at a watershed scale. NOTE Confidence: 0.858301318181818 65c65634-a371-405d-b610-b9c774980ff9 00:24:01.770 --> 00:24:05.050 Again, we talked a little bit about greater NOTE Confidence: 0.858301318181818 e2c9714d-6dec-44bd-829d-92a89d5b76c4 00:24:05.050 --> 00:24:07.314 compatibility with other networks, NOTE Confidence: 0.858301318181818 2724ce2f-75b2-499a-9d40-fa7257de6731 00:24:07.314 --> 00:24:10.446 other datasets that influence or are influenced NOTE Confidence: 0.858301318181818 a37d3832-5cdd-4038-ae3e-83a6c9e7b056 00:24:10.446 --> 00:24:13.860 by water and then finally sort of our long NOTE Confidence: 0.858301318181818 1c2952a3-848e-4893-98a8-cdd40b6a772b 00:24:13.860 --> 00:24:16.832 term vision to bring inland bathymetry NOTE Confidence: 0.858301318181818 1eaf61ae-0d0e-4257-a705-7deb3b3f40a9 00:24:16.832 --> 00:24:21.590 data into the 3D NTM environment NOTE Confidence: 0.858301318181818 5692223e-e6e2-4a80-8720-b50973c9fe4c 00:24:21.590 --> 00:24:25.258 so that it works seamlessly next to NOTE Confidence: 0.858301318181818 b8596dbf-a2a8-4e43-b4b5-39583c1c1602 00:24:25.258 --> 00:24:28.260 the elevation and hydrography datasets. NOTE Confidence: 0.86012771 8ede6356-c9a9-47ad-b882-15026ee2f814 00:24:30.410 --> 00:24:32.762 So the transition plan, NOTE Confidence: 0.86012771 6cc06b36-561c-49de-b268-30b0a987c903 00:24:32.762 --> 00:24:35.347 this is for the next couple years. NOTE Confidence: 0.86012771 aa72c2cc-6549-4d6a-b196-5881cf37b57c 00:24:35.350 --> 00:24:38.670 In FY23, this is the coming year. NOTE Confidence: 0.86012771 9b4b3f40-f21e-4e9c-9854-a0b0b54dd770 00:24:38.670 --> 00:24:41.278 We are going to be very busy standing NOTE Confidence: 0.86012771 df0a68bd-e810-4015-94b3-5ba833b071fc 00:24:41.278 --> 00:24:43.090 this operation up NOTE Confidence: 0.86012771 555e8313-575b-46a2-91eb-393231b60248 00:24:43.090 --> 00:24:46.156 and trying to wind down NOTE Confidence: 0.86012771 3c3cfa6f-5b09-459a-8ac9-2280c31d52d4 00:24:46.156 --> 00:24:49.568 our NHD WBD and NHD plus activities. NOTE Confidence: 0.86012771 cda5eed8-9098-485b-93f7-80220edc8a46 00:24:49.570 --> 00:24:53.066 So in 2023 we going to put together the NOTE Confidence: 0.86012771 792d8fc7-3980-49cc-9bd5-09ee626ca6b7 00:24:53.066 --> 00:24:55.604 first iteration of 3DHP data NOTE Confidence: 0.86012771 69f51cee-ef11-485c-bb0e-e2392cc9e7cb 00:24:55.604 --> 00:24:57.825 model and we're going to populate NOTE Confidence: 0.86012771 a308db36-5f4d-48e5-a637-6e1e42692ff9 00:24:57.825 --> 00:25:00.389 that with the validated EDH data that NOTE Confidence: 0.86012771 73b3f355-de11-4d5c-b7f5-6db27001c0bb 00:25:00.390 --> 00:25:02.568 we've been collecting from a NOTE Confidence: 0.86012771 42c5dbf9-d7ff-4b06-9a2c-ba2d14240898 00:25:02.568 --> 00:25:04.820 number of contracts around the country. NOTE Confidence: 0.86012771 e74c482c-8b2b-4fb8-b435-e97017bdc9b3 00:25:04.820 --> 00:25:05.734 Then finally, NOTE Confidence: 0.86012771 0a18c29b-fb1f-4de7-b9fe-201057ef4de3 00:25:05.734 --> 00:25:08.476 we're going to connect those watersheds NOTE Confidence: 0.86012771 73897e04-277f-4477-9bc2-de57da4d4b02 00:25:08.476 --> 00:25:11.609 where we have the EDH NOTE Confidence: 0.86012771 6ff30d00-9d43-4e8a-b97e-4550fb83eee4 00:25:11.609 --> 00:25:14.430 data with a pruned skeleton based on NOTE Confidence: 0.86012771 a702b1a2-5815-490b-bbd1-d5befdcb4fc8 00:25:14.430 --> 00:25:17.172 the NHD to provide connectivity for NOTE Confidence: 0.86012771 7335a6a8-6a92-46d2-8c3b-6b951cba236f 00:25:17.180 --> 00:25:19.680 others continental scale applications. NOTE Confidence: 0.86012771 8735a98c-4cdb-4b14-a3a4-22676d2cfc83 00:25:19.680 --> 00:25:22.180 There's regional scale applications. NOTE Confidence: 0.86012771 d2b21c16-ba37-488b-966e-078fe7b6cee2 00:25:22.180 --> 00:25:25.525 So that if water running NOTE Confidence: 0.86012771 b1848e3d-e8e1-49d3-a36e-ab2ad4d27311 00:25:25.525 --> 00:25:28.861 through the high density EDH NOTE Confidence: 0.86012771 f8534dfc-6ad3-4a99-ac91-9efc487af78c 00:25:28.861 --> 00:25:31.387 network in Central PA can actually NOTE Confidence: 0.86012771 5392c875-cf1c-46bb-a80d-f1bda5258eb2 00:25:31.387 --> 00:25:34.249 make it out to Chesapeake Bay. NOTE Confidence: 0.86012771 f47fb132-71f7-48b7-9f16-46ab9f5965f3 00:25:34.250 --> 00:25:37.880 2024, NOTE Confidence: 0.86012771 32f16dd9-c9bf-4de1-a9b4-ab5222064053 00:25:37.880 --> 00:25:39.620 that's where we're really gonna make NOTE Confidence: 0.86012771 2e26de85-5546-4ccc-b6ec-db7f29a87287 00:25:39.620 --> 00:25:41.319 any of the necessary revisions to NOTE Confidence: 0.86012771 fd87f83d-d144-4ee1-b3ec-4c6fb9080068 00:25:41.319 --> 00:25:43.820 come out as a result of NOTE Confidence: 0.86012771 4a9fc98e-451a-4a9f-9d5b-b3b7aa3a1f68 00:25:43.820 --> 00:25:45.940 testing and development in '23, NOTE Confidence: 0.86012771 17c6da60-6066-4cdc-9cd9-cff31306bb1c 00:25:45.940 --> 00:25:48.805 but maybe more importantly  NOTE Confidence: 0.86012771 85fdab46-656b-427c-9e44-ff1298b21469 00:25:48.805 --> 00:25:51.097 develop criteria for including NOTE Confidence: 0.86012771 369471ff-65be-4921-b52b-914c36da83a1 00:25:51.100 --> 00:25:54.915 pre-EDH data into the model. NOTE Confidence: 0.86012771 f4c6fbd9-b219-47fc-b1a2-b9d7d45575f1 00:25:54.920 --> 00:25:56.111 So we have, NOTE Confidence: 0.86012771 7c6a1795-19e2-417b-b023-94ae9d4d804e 00:25:56.111 --> 00:25:58.890 we know there are Sue mentioned the NOTE Confidence: 0.86012771 43da426e-b41d-494d-8506-e199feff3024 00:25:58.978 --> 00:26:01.960 various lineages of data in the NHD, NOTE Confidence: 0.86012771 876c0deb-59d7-4136-a7f0-62d81aff9ab4 00:26:01.960 --> 00:26:04.453 some of which go back 40-50 NOTE Confidence: 0.86012771 a9b86e07-f942-4cd3-93f0-f4b09bbcdd91 00:26:04.453 --> 00:26:06.318 years to the topo maps, NOTE Confidence: 0.86012771 387994fb-f1a9-4464-a4e5-f9720bcf67cc 00:26:06.320 --> 00:26:07.940 some of which have been updated NOTE Confidence: 0.86012771 9e01d3d5-20b5-47e7-b6a6-b1f4d024dfaa 00:26:07.940 --> 00:26:08.410 in, NOTE Confidence: 0.86012771 cede17f0-8c4d-449c-8ec4-8c82374b65b3 00:26:08.410 --> 00:26:09.350 NOTE Confidence: 0.86012771 79811f9f-fe3b-4689-9a67-14d60b890d03 00:26:09.350 --> 00:26:11.230 statewide or local campaigns NOTE Confidence: 0.86012771 4bae3bfa-a9ce-4842-a24c-20d80abffd8f 00:26:11.230 --> 00:26:13.570 over the last few years. NOTE Confidence: 0.86012771 a6e62b17-7ab7-4ab8-b0b0-12e8ddd8bbe2 00:26:13.570 --> 00:26:15.550 Those data that have NOTE Confidence: 0.86012771 e3d0a952-d2a2-47cc-85e9-0ba1e0ebc89e 00:26:15.550 --> 00:26:18.595 been updated to a good imagery or NOTE Confidence: 0.86012771 2657f692-143a-4e14-8a05-e69839b29883 00:26:18.595 --> 00:26:20.245 elevation based specifications NOTE Confidence: 0.86012771 e82365f8-6bea-456e-8cce-609af1883350 00:26:20.250 --> 00:26:22.386 but maybe haven't been NOTE Confidence: 0.86012771 72417cfe-5498-4eaa-8e6a-6aea5f4c25a2 00:26:22.386 --> 00:26:23.810 out strictly in compliance NOTE Confidence: 0.86012771 499fa49b-523d-4b0a-af78-3e9871d8baf4 00:26:23.873 --> 00:26:25.469 with the EDH specification. NOTE Confidence: 0.86012771 1fae18e8-69e5-43bc-8d00-8dd7a9612e82 00:26:25.470 --> 00:26:28.511 We will look at ways to modify NOTE Confidence: 0.86012771 1aa360b3-0e78-4bc4-b4a3-64aba9bb328e 00:26:28.511 --> 00:26:30.917 those data to bring them into NOTE Confidence: 0.86012771 62ffdba6-d9ce-41b4-9cd5-a96f62cb2565 00:26:30.917 --> 00:26:33.599 the data set to help populate. NOTE Confidence: 0.86012771 8a14269e-2ac7-4c0a-97bb-69415f040c6e 00:26:33.600 --> 00:26:35.548 It'll populate the network. NOTE Confidence: 0.86012771 0b6f22f3-f8d3-416d-bef0-f8175e92978c 00:26:35.548 --> 00:26:38.820 We'll have data service up in '24. NOTE Confidence: 0.86012771 63af9d0c-dfc5-4759-9541-d1f1b2b96d3a 00:26:38.820 --> 00:26:40.795 We're going to implement the NOTE Confidence: 0.86012771 fdc80efb-9cb3-46de-bed8-26482cb806e2 00:26:40.795 --> 00:26:41.585 markup functionality, NOTE Confidence: 0.86012771 97243906-2704-4e09-bca7-dbee733e5a39 00:26:41.590 --> 00:26:43.991 which we'll talk a little bit more NOTE Confidence: 0.86012771 6065197a-7b4f-47ea-8874-516f32e0af65 00:26:43.991 --> 00:26:46.172 about hydro addressing capability and NOTE Confidence: 0.86012771 d9fac0eb-dae7-4a45-9758-a62ffc38a2c8 00:26:46.172 --> 00:26:48.920 then on initial release of raster NOTE Confidence: 0.86012771 4a495760-e758-424d-98b0-f5fbc36828ad 00:26:48.996 --> 00:26:50.772 products. Those raster products NOTE Confidence: 0.86012771 d315d495-698d-4cf2-90ea-ca8fa2791941 00:26:50.772 --> 00:26:53.436 may evolve a bit through time, NOTE Confidence: 0.86012771 436dab7a-5653-4b9a-a10b-4154e5b6dc8a 00:26:53.440 --> 00:26:56.048 but we want to get at least a first NOTE Confidence: 0.86012771 d6839377-fa5a-478f-abe3-d2ad500e03b2 00:26:56.048 --> 00:26:58.720 cut of them out in '24. And then NOTE Confidence: 0.86012771 a3e1367a-d451-4747-986a-340458c1b1dc 00:26:58.720 --> 00:27:00.720 finally transition the hydrologic units NOTE Confidence: 0.86012771 10e34f18-33a3-4015-93bc-92adf6b40a4f 00:27:00.720 --> 00:27:03.899 from the WBD to the 3DHP environment. NOTE Confidence: 0.912339778461539 74d82297-cbc0-4052-bc95-98f698ae058a 00:27:07.030 --> 00:27:08.486 So at the heart of all of NOTE Confidence: 0.912339778461539 7b051869-de5f-436c-ad01-f0a5292eb808 00:27:08.486 --> 00:27:09.948 this is really the data model. NOTE Confidence: 0.912339778461539 c6eef7fc-66f4-4a68-8f96-74654afddb74 00:27:09.950 --> 00:27:12.435 It's a very fundamental NOTE Confidence: 0.912339778461539 5ad2a036-4f01-4232-aa6e-548a270f96a5 00:27:12.435 --> 00:27:15.578 shift from where we've been as NOTE Confidence: 0.912339778461539 247bfa8f-949c-496a-bb94-e20be796682e 00:27:15.578 --> 00:27:17.850 the hydrography community. NOTE Confidence: 0.912339778461539 d59f25fd-9244-431b-8c40-52fc8a92eaff 00:27:17.850 --> 00:27:20.853 We are going to base the  NOTE Confidence: 0.912339778461539 05489859-867a-4ca7-bf07-844ccfde9823 00:27:20.853 --> 00:27:23.858 3DHP data model on the OGC high NOTE Confidence: 0.912339778461539 3f0ac1df-68bf-4b0f-b157-3889d646ea68 00:27:23.858 --> 00:27:25.862 features conceptual model. NOTE Confidence: 0.912339778461539 eac81052-c3df-4f73-a03b-6f227d305a9b 00:27:25.862 --> 00:27:28.600 This is really,  NOTE Confidence: 0.912339778461539 52dce51b-2060-43ed-b6b5-079c1c539d2c 00:27:28.600 --> 00:27:31.920 it's...rather than being based on NOTE Confidence: 0.912339778461539 1cbf396b-519b-421c-9265-d41359fc1d7c 00:27:31.920 --> 00:27:33.920 really in arcs and nodes, NOTE Confidence: 0.912339778461539 33354fda-d1e7-46be-a8e7-3b569da91cf2 00:27:33.920 --> 00:27:36.804 the way the NHD model has been, NOTE Confidence: 0.912339778461539 9c5be710-19de-4513-86f8-604ec40a2db7 00:27:36.810 --> 00:27:39.470 it's much more emphasized, NOTE Confidence: 0.912339778461539 a43ae3dd-0a77-4a93-9b10-bf699c4cef9d 00:27:39.470 --> 00:27:43.016 much more logical connectivity and you NOTE Confidence: 0.912339778461539 9c6eff4c-bcb2-4818-a8fb-023d095f62bd 00:27:43.016 --> 00:27:45.615 know catchment based connectivity. NOTE Confidence: 0.912339778461539 fea4782b-bf25-4afd-a22d-32a6164836e1 00:27:45.615 --> 00:27:50.895 And so this allows us to really NOTE Confidence: 0.912339778461539 74bf4694-867b-4045-99c8-4f9fb1258007 00:27:50.895 --> 00:27:54.200 base the system on hydrologic features NOTE Confidence: 0.912339778461539 c6c155f8-8308-491e-8903-a50d1c3650ac 00:27:54.200 --> 00:27:55.656 and sort of flowing water, NOTE Confidence: 0.912339778461539 478393f7-8e69-4d28-aad2-6c42d9ff4918 00:27:55.660 --> 00:27:57.690 standing water, NOTE Confidence: 0.912339778461539 1db06442-4adf-4aec-b156-0843defb7dba 00:27:57.690 --> 00:27:59.690 features from a water perspective, NOTE Confidence: 0.912339778461539 3aecd3a9-84ec-4bcb-952b-5ae8ff978a37 00:27:59.690 --> 00:28:03.449 rather than many of the constructed NOTE Confidence: 0.912339778461539 41090a4e-6dcf-4b03-b32a-d9b216fa6df0 00:28:03.449 --> 00:28:07.007 features that have ended up in the NHD, NOTE Confidence: 0.912339778461539 041e1b73-70ca-4df0-938c-bf4ef18e8732 00:28:07.010 --> 00:28:09.386 or maybe the human perceived NOTE Confidence: 0.912339778461539 4ff7c543-744a-46c3-92bf-9bf0734064a4 00:28:09.386 --> 00:28:11.519 features that ended up in the NOTE Confidence: 0.912339778461539 178ad072-921c-4d0e-8bbe-22ef62930901 00:28:11.519 --> 00:28:14.610 NHD. Using this OGC model NOTE Confidence: 0.912339778461539 c557b138-f80b-43be-bbcd-0f4d64ea951a 00:28:14.610 --> 00:28:16.395 also promotes interoperability NOTE Confidence: 0.912339778461539 d0b57210-bd33-4785-8560-84d5a8ca7a5b 00:28:16.395 --> 00:28:18.484 with other entities. NOTE Confidence: 0.912339778461539 ca71c22d-d5dd-4bae-94bb-20c814802c42 00:28:18.484 --> 00:28:21.613 The national water model and NOAA's Office NOTE Confidence: 0.912339778461539 1f55d49d-8ab5-437a-87b5-b664bed6882c 00:28:21.613 --> 00:28:24.334 of Water Prediction, EPA, NOTE Confidence: 0.912339778461539 9b51b5e8-304e-4d82-a58f-49389644e4cb 00:28:24.334 --> 00:28:26.506 work regularly with the Canadians, NOTE Confidence: 0.912339778461539 ef7b619e-e187-4a3d-a915-a50f41d9a49f 00:28:26.510 --> 00:28:27.819 maybe might even be able to get. NOTE Confidence: 0.912339778461539 15b56a4e-16d7-43b2-80f8-e452c604ebd4 00:28:27.820 --> 00:28:30.652 an interoperable model going there, NOTE Confidence: 0.912339778461539 f6898494-1106-4231-8b02-cbf09f728aca 00:28:30.652 --> 00:28:33.520 and with the internal USGS partners NOTE Confidence: 0.912339778461539 12c1b0ff-8fee-46ea-8ee6-566cb01ace80 00:28:33.520 --> 00:28:36.214 who are interested in using this NOTE Confidence: 0.912339778461539 02eb45e7-724e-4545-af9a-b7270f5584b7 00:28:36.214 --> 00:28:39.328 approach for their national fabric. NOTE Confidence: 0.912339778461539 181190c0-097b-48d7-9749-2bca1b081e07 00:28:39.330 --> 00:28:39.741 NOTE Confidence: 0.912339778461539 41ca404a-0d27-443c-888f-81bf4c4a2ea5 00:28:39.741 --> 00:28:40.152 Again, NOTE Confidence: 0.912339778461539 cb782110-235e-4462-a1d5-233d73e90ad0 00:28:40.152 --> 00:28:42.618 because it is catchment based, NOTE Confidence: 0.912339778461539 ec4540b8-9adf-44c3-ae5e-8535b62f49ee 00:28:42.620 --> 00:28:46.328 it really supports a multi scale NOTE Confidence: 0.912339778461539 c3fec990-66d1-42b1-bfd8-c2b00a08d191 00:28:46.328 --> 00:28:49.163 data product almost inherently, NOTE Confidence: 0.912339778461539 e3009cda-15c7-4906-9d41-280fea1d50d0 00:28:49.163 --> 00:28:51.704 in a way very similar to the way, NOTE Confidence: 0.912339778461539 21addc5f-f204-4810-8baf-4dbe47978948 00:28:51.704 --> 00:28:54.075 at least conceptually similar to NOTE Confidence: 0.912339778461539 11664f2a-fe30-4765-80c4-fed106592fdc 00:28:54.075 --> 00:28:57.195 the way that WBD nested watersheds NOTE Confidence: 0.912339778461539 3f0339a9-3787-4a37-9345-443bbd8815a8 00:28:57.200 --> 00:28:59.684 can support a multi NOTE Confidence: 0.912339778461539 37ebaa2a-f573-4576-86e6-5e38974fd00a 00:28:59.684 --> 00:29:03.118 scale version of watersheds. NOTE Confidence: 0.912339778461539 a2b1a370-be3c-4e0b-85e3-056c1a361a5b 00:29:03.120 --> 00:29:05.088 And then we're really going to NOTE Confidence: 0.912339778461539 3cfd8607-0a0a-41d8-8739-8270e23aee76 00:29:05.088 --> 00:29:07.377 prune down the data set in terms NOTE Confidence: 0.912339778461539 83b16275-5fd1-41d8-aac7-d9e2789c2dbc 00:29:07.377 --> 00:29:09.189 of the types of features that NOTE Confidence: 0.912339778461539 5ecfbc72-df7b-4683-9633-fbfa5fffac3d 00:29:09.189 --> 00:29:11.069 are core in the data model. NOTE Confidence: 0.912339778461539 f8a645e9-4cef-4d0d-b2bb-cc07af62d524 00:29:11.070 --> 00:29:14.374 And right now we have over 170 and NOTE Confidence: 0.912339778461539 2858f6f1-86de-45c9-94de-11dbab3e70d2 00:29:14.380 --> 00:29:17.656 we're probably going to reduce that NOTE Confidence: 0.912339778461539 e3ffd6ba-37b8-4931-8cdf-b83a02ea28f7 00:29:17.660 --> 00:29:19.235 to something in the neighborhood NOTE Confidence: 0.912339778461539 7e14e189-6d28-4b90-8ff5-04f92191aec4 00:29:19.235 --> 00:29:23.320 of 15 to 20 types of features. NOTE Confidence: 0.912339778461539 99197744-bfd7-48a6-9421-90f74ecb2cbe 00:29:23.320 --> 00:29:24.706 Now some of that really goes NOTE Confidence: 0.912339778461539 01088ef4-d9a4-49e4-b5ca-1b6478195cf4 00:29:24.706 --> 00:29:26.190 back to where NHD came from. NOTE Confidence: 0.912339778461539 70b28e7a-c99d-4af1-8ee6-e6ffaaf4b00c 00:29:26.190 --> 00:29:27.126 NOTE Confidence: 0.912339778461539 a7b4923b-c465-4047-a980-37be0f7b0782 00:29:27.126 --> 00:29:30.556 Again, NHD was really a cartographic NOTE Confidence: 0.912339778461539 24a372a7-1be2-4631-b7d7-0f8d2391d54d 00:29:30.556 --> 00:29:32.890 model that we've been using for NOTE Confidence: 0.912339778461539 854de447-a5ec-4145-b2cf-617ecd4d4924 00:29:32.965 --> 00:29:35.695 hydrologic applications for a long time. NOTE Confidence: 0.912339778461539 849d5fd9-76f7-4ca4-a47c-573f2c456255 00:29:35.700 --> 00:29:36.345 But you know, NOTE Confidence: 0.912339778461539 d87f0d2a-7d0c-4e55-be2e-0ac9a3f5a22b 00:29:36.345 --> 00:29:37.850 back in the day when they were NOTE Confidence: 0.912339778461539 d525af9f-d5a2-4307-aa28-3e7756bac10c 00:29:37.903 --> 00:29:39.468 looking at the topographic maps, NOTE Confidence: 0.912339778461539 e8805f18-bee4-43c6-9866-37c44d64b319 00:29:39.470 --> 00:29:42.277 anything that was kind of water, or NOTE Confidence: 0.912339778461539 c1c70f4e-e40d-42bd-9cc0-a7eae81f1782 00:29:42.277 --> 00:29:44.578 water adjacent, ended up in the NHD. NOTE Confidence: 0.912339778461539 6beee512-ad5a-4af5-9931-f0508e7bb659 00:29:44.580 --> 00:29:46.518 And so we have NOTE Confidence: 0.912339778461539 76c88d61-6b83-4365-ba0c-bceeab592522 00:29:46.520 --> 00:29:49.614 22 different varieties of pipelines, NOTE Confidence: 0.912339778461539 f3f96b17-0c5f-4432-8c28-8e076f2c246e 00:29:49.620 --> 00:29:51.040 We have NOTE Confidence: 0.912339778461539 b5370f8c-07b1-41a4-ab95-238b027cf221 00:29:51.040 --> 00:29:52.815 24 different varieties of reservoirs, NOTE Confidence: 0.912339778461539 fdfb8d49-d695-4237-9c15-11d4712efd0e 00:29:52.820 --> 00:29:54.098 including NOTE Confidence: 0.912339778461539 23f79b93-20f9-423e-99cd-77e7b67ad952 00:29:54.098 --> 00:29:57.438 Swimming pools in the data model.  NOTE Confidence: 0.912339778461539 9b40a17f-7b60-4220-816b-507174b9ec11 00:29:57.438 --> 00:29:58.216 NOTE Confidence: 0.912339778461539 79520521-6442-40f9-bda7-da1872fd3b2c 00:29:58.216 --> 00:30:01.029 We have lots of other things like rapids and NOTE Confidence: 0.912339778461539 a0fbb78b-242e-4647-8bf5-915946c250a3 00:30:01.029 --> 00:30:03.417 locks and lock chambers and levees NOTE Confidence: 0.912339778461539 25a168be-8b9e-40f6-a1c7-68588464fbe7 00:30:03.417 --> 00:30:06.896 that are really not to the core NOTE Confidence: 0.912339778461539 12705c35-963e-4bfc-8a1d-bbc8f6a10a55 00:30:06.900 --> 00:30:09.945 to the hydrologic processes that are NOTE Confidence: 0.912339778461539 28b3e179-1c7e-4bb8-a6c6-539ed42e852e 00:30:09.945 --> 00:30:13.955 going on and that we want to be representing. NOTE Confidence: 0.912339778461539 52681597-fd73-43d0-b1ad-0cf9f67b234c 00:30:13.960 --> 00:30:14.770 And so all of this, NOTE Confidence: 0.912339778461539 f9eb25ac-a4a3-4f18-9813-a054f02fcfbf 00:30:14.770 --> 00:30:15.304 you know, NOTE Confidence: 0.912339778461539 18e76f14-0455-4f36-a3b4-6853357cf94b 00:30:15.304 --> 00:30:17.440 creates a major burden to us as NOTE Confidence: 0.912339778461539 797c9883-f679-4dc0-81d2-0aabb0211390 00:30:17.504 --> 00:30:19.508 the people that develop and maintain NOTE Confidence: 0.912339778461539 c21a0ff0-63db-4b54-9f1f-4b1ec0f800ec 00:30:19.508 --> 00:30:21.743 the tools but also can present NOTE Confidence: 0.912339778461539 a47b51f7-01a3-46b7-bb30-54047d7362b2 00:30:21.743 --> 00:30:24.350 a major barrier to use of the data NOTE Confidence: 0.912339778461539 7a0862c2-b54e-414c-ac70-23db159f9e04 00:30:24.350 --> 00:30:27.600 because of the complexity inherent. NOTE Confidence: 0.912339778461539 38332548-e7f5-49b7-9e4d-012390475462 00:30:27.600 --> 00:30:28.664 And so you know, NOTE Confidence: 0.912339778461539 7a57d2c5-b0d7-4d5e-b1a1-218ba9653bf6 00:30:28.664 --> 00:30:30.611 we're going to need a NOTE Confidence: 0.912339778461539 617553b7-1e17-4942-b9fe-cb56eb490200 00:30:30.611 --> 00:30:32.369 much simpler approach in 3DHP. NOTE Confidence: 0.835697302222222 5ff98db0-0ad6-488d-aeb4-35adb78a5890 00:30:34.720 --> 00:30:37.864 This is kind of a visual NOTE Confidence: 0.835697302222222 39876f0d-a5ca-4fb1-8833-89d7d214a715 00:30:37.864 --> 00:30:39.436 representation of that. NOTE Confidence: 0.835697302222222 9ecb701b-c4d0-47d6-bedd-6e723a780591 00:30:39.440 --> 00:30:42.527 On the right obviously is the the NHD data NOTE Confidence: 0.835697302222222 4dbbec0c-7f73-448a-a289-c384adbd21c9 00:30:42.527 --> 00:30:45.156 model that we all know and love. About NOTE Confidence: 0.835697302222222 ca893db2-84b5-4261-b5a2-72b2f93bb90e 00:30:45.160 --> 00:30:49.920 175 different F codes on that model. NOTE Confidence: 0.835697302222222 d8cc389e-ee36-4e67-8767-1384cede1fae 00:30:49.920 --> 00:30:52.584 On the left is the schema that we've NOTE Confidence: 0.835697302222222 e5b5b3b5-6f63-417b-ba3e-a1dc27bf9e1a 00:30:52.584 --> 00:30:55.545 been using for the elevation derived NOTE Confidence: 0.835697302222222 c7ce5c88-70dd-4b84-8c2e-5c5b9cc9119c 00:30:55.545 --> 00:30:57.170 hydrography projects. NOTE Confidence: 0.835697302222222 e8e22cf6-8887-4403-b8d4-19cbed583df7 00:30:57.170 --> 00:30:58.955 We haven't made kind of a final NOTE Confidence: 0.835697302222222 e1f317c3-d69b-4a46-a555-0b0078dd7cec 00:30:58.955 --> 00:31:00.696 ruling on what's in and what's out, NOTE Confidence: 0.835697302222222 96f2520d-4b2c-4b0b-a72f-e2ac02da4297 00:31:00.700 --> 00:31:03.120 but it probably won't be NOTE Confidence: 0.835697302222222 a2423230-2965-4b50-9a1c-c7a1b91fb250 00:31:03.120 --> 00:31:05.056 larger than that set. NOTE Confidence: 0.835697302222222 4f1cf9e8-bcea-479b-8f3e-8bf1725d51b8 00:31:05.060 --> 00:31:06.746 Several cases, they'll probably be small, NOTE Confidence: 0.835697302222222 cad18bda-7be2-4ba8-9b47-67a999b4546b 00:31:06.750 --> 00:31:08.060 they'll probably be a few NOTE Confidence: 0.835697302222222 f75fcec4-b214-4461-841e-2f7994875b7a 00:31:08.060 --> 00:31:09.370 things there that are dropped NOTE Confidence: 0.835697302222222 18f7d770-9174-4d94-99fc-9f1f5df954e6 00:31:09.370 --> 00:31:12.520 from the final data model. And NOTE Confidence: 0.835697302222222 4b7232ae-0a82-423e-9e93-7269be0e762e 00:31:12.520 --> 00:31:14.343 that really simplifies every NOTE Confidence: 0.835697302222222 5a4dcbf4-2055-41ee-9dc5-8485706d8b13 00:31:14.343 --> 00:31:16.929 tool that touches the data. NOTE Confidence: 0.835697302222222 0ff4b497-9cb7-408e-8b9d-1512eba31813 00:31:16.930 --> 00:31:18.958 Every process that touches the data. NOTE Confidence: 0.835697302222222 b7bb29c4-bcc4-471b-99b5-7e3a613e13fc 00:31:18.958 --> 00:31:21.529 Every feature to feature NOTE Confidence: 0.835697302222222 16b6fcdb-d14b-4bbb-b9b1-77520536c4e6 00:31:21.530 --> 00:31:24.725 check that we have to run on the data. NOTE Confidence: 0.835697302222222 95201d01-3503-4707-ac2a-03db07ea33f0 00:31:24.730 --> 00:31:28.062 This is going to be a lot NOTE Confidence: 0.835697302222222 3979cc48-ad19-4283-8014-729d22d54d04 00:31:28.062 --> 00:31:29.014 more straightforward. NOTE Confidence: 0.835697302222222 913710ac-a654-42ca-9996-ff2cff32e1e9 00:31:29.020 --> 00:31:31.750 Spoke a little bit about their initial NOTE Confidence: 0.835697302222222 5b464b73-fad9-4179-ac7a-b76032f2a5b4 00:31:31.750 --> 00:31:33.999 plan for populating the data set on NOTE Confidence: 0.835697302222222 6b7b22f3-b797-4961-bb8a-607281efad3f 00:31:34.000 --> 00:31:36.016 one of the things we want NOTE Confidence: 0.835697302222222 b026c7bb-c9d3-4bfa-9023-54a6a0025b81 00:31:36.016 --> 00:31:38.425 to do there is again to start with NOTE Confidence: 0.835697302222222 b49a3fe2-df2f-4028-8297-5828aacc392a 00:31:38.425 --> 00:31:39.755 our elevation derived hydrography NOTE Confidence: 0.835697302222222 06eec91e-22b2-434c-887b-a4007b743b22 00:31:39.755 --> 00:31:41.891 data that we've been collecting the NOTE Confidence: 0.835697302222222 6ca51b24-ed3b-40db-9414-bad5004b6230 00:31:41.891 --> 00:31:45.222 last few years in Alaska and in a few NOTE Confidence: 0.835697302222222 bd2569d5-cd0d-496d-adb0-bff39321c21e 00:31:45.222 --> 00:31:47.404 places around CONUS. In large part NOTE Confidence: 0.835697302222222 1efc4869-ec42-4fef-9fb8-8c5187fd63eb 00:31:47.404 --> 00:31:48.796 that's because that data NOTE Confidence: 0.835697302222222 347d88b1-06c9-4057-956c-c2f0d54f88c2 00:31:48.796 --> 00:31:50.520 has already been validated. NOTE Confidence: 0.835697302222222 ff019052-cda0-4b5e-9990-2ec377381047 00:31:50.520 --> 00:31:53.024 We know that it's good clean data going NOTE Confidence: 0.835697302222222 eb3d6898-0401-42df-8a02-f902274531cd 00:31:53.024 --> 00:31:56.003 in and that provides a good opportunity NOTE Confidence: 0.835697302222222 f1640c84-fa6f-432b-90ba-6b362812766b 00:31:56.003 --> 00:31:58.969 to really demonstrate the concepts and  NOTE Confidence: 0.835697302222222 7a4479d1-e8d7-4a60-9546-d5b18930ec9c 00:31:58.970 --> 00:32:00.485 test the processes and if NOTE Confidence: 0.835697302222222 348a40c1-7384-43a4-bd17-f69e09e16d6a 00:32:00.485 --> 00:32:02.630 we do need to make changes, NOTE Confidence: 0.835697302222222 cc2ae548-5c62-4fbd-8ca4-23ff5af31c2e 00:32:02.630 --> 00:32:04.014 that's fewer. NOTE Confidence: 0.835697302222222 f4fa2a2e-eef7-4463-994f-ea8754e6bae7 00:32:04.014 --> 00:32:04.706 NOTE Confidence: 0.835697302222222 ec7cc406-e47d-4549-b22b-62572247d11d 00:32:04.710 --> 00:32:08.112 Having a few features rather than  NOTE Confidence: 0.835697302222222 d39d4848-eaa1-4315-8e13-3d1e90b40aa2 00:32:08.112 --> 00:32:10.227 30 million or 300,000,000 knocking around NOTE Confidence: 0.835697302222222 301ff5e6-0d98-442c-9ce6-4fd9b0404a0f 00:32:10.227 --> 00:32:12.880 the data set makes any kind NOTE Confidence: 0.835697302222222 ab534a7d-058c-4c80-b03a-2efebda5bcd0 00:32:12.944 --> 00:32:15.116 of manipulations to the data model, NOTE Confidence: 0.835697302222222 b6ffcebb-3e6e-4731-bcd9-ab2b24d986f5 00:32:15.120 --> 00:32:17.668 the tools that we need to run NOTE Confidence: 0.835697302222222 0941fa63-b1f9-4663-b791-e2c8a7aa9a86 00:32:17.670 --> 00:32:19.074 a little bit easier. NOTE Confidence: 0.835697302222222 29818f51-303a-4856-b80c-8329fccf9a5e 00:32:19.074 --> 00:32:20.127 As I mentioned earlier, NOTE Confidence: 0.835697302222222 ca92988a-1989-4efc-a140-1dc53689463c 00:32:20.130 --> 00:32:22.178 we are going to evaluate other data sources NOTE Confidence: 0.835697302222222 c1cdf3e1-c34a-4004-b856-93da71ee84ee 00:32:22.180 --> 00:32:22.560 NOTE Confidence: 0.835697302222222 fbef0527-2fb9-4117-89c0-75093eaf2dec 00:32:22.560 --> 00:32:24.840 where people put time and effort NOTE Confidence: 0.835697302222222 72e54666-c275-4b8c-884e-55ff39cd5988 00:32:24.840 --> 00:32:26.230 into delineating hydrography NOTE Confidence: 0.835697302222222 70dd1ce4-b60e-43f9-ae7d-8fdc95a4a3f6 00:32:26.230 --> 00:32:28.755 from their LIDAR collections or NOTE Confidence: 0.835697302222222 99d6f7f5-f478-472d-b2c9-00ecf4db7114 00:32:28.755 --> 00:32:31.180 from good imagery collections, NOTE Confidence: 0.835697302222222 a734f7d5-0d3d-47a7-a2e5-ba30b8c81960 00:32:31.180 --> 00:32:32.518 and send those NOTE Confidence: 0.835697302222222 b7f93a4b-26e0-4a67-8fa9-5f5e3a39d070 00:32:32.518 --> 00:32:36.163 areas of 3DHP data will be NOTE Confidence: 0.835697302222222 bbd16073-ebad-467e-9b0e-be34a91eb607 00:32:36.163 --> 00:32:39.400 connected to a skeleton of generalized well, NOTE Confidence: 0.835697302222222 cf88df66-bda5-4e85-8091-a0bb9dba4fc9 00:32:39.400 --> 00:32:43.534 a pruned version of the NHD network to NOTE Confidence: 0.835697302222222 3d850856-f0c7-4741-97ea-c29061357852 00:32:43.534 --> 00:32:45.658 enable routing and connectivity as  NOTE Confidence: 0.835697302222222 74f24146-4f58-41c9-9e68-e1adbc6de00c 00:32:45.658 --> 00:32:48.600 the data set is filled in. In a lot of ways, NOTE Confidence: 0.835697302222222 bf39164e-306d-4f38-bc9b-6b0a6fc9beb5 00:32:48.600 --> 00:32:49.600 this is rather like NOTE Confidence: 0.835697302222222 89c4c67c-aa39-41bb-892e-b5f1f08daf2a 00:32:49.600 --> 00:32:52.000 having the old NOTE Confidence: 0.835697302222222 0876613b-a8f8-4b89-8bf2-e9ee4cabf2d4 00:32:52.000 --> 00:32:53.930 10 meter NED data NOTE Confidence: 0.835697302222222 80c16c3f-b779-4b45-9331-913106d63127 00:32:53.930 --> 00:32:56.072 in the places where you don't NOTE Confidence: 0.835697302222222 d80d8173-3276-49d7-b396-e1da3a2336ec 00:32:56.072 --> 00:32:57.838 have new 3DEP data, NOTE Confidence: 0.835697302222222 baa50e91-3b16-44c0-8818-28d6d8bc28e3 00:32:57.838 --> 00:32:59.598 it's sort of a filler. NOTE Confidence: 0.780882431176471 68b0af36-b116-4c9e-847a-fecc086c1e81 00:33:01.820 --> 00:33:02.588 Data improvement is NOTE Confidence: 0.780882431176471 3a467725-606b-4159-8bae-32c9a6bb68de 00:33:02.588 --> 00:33:05.660 one place we're actually going to see a NOTE Confidence: 0.780882431176471 7cdd56d6-e75c-4c91-85c0-453d97515bff 00:33:05.734 --> 00:33:08.520 significant shift in the way work happens, NOTE Confidence: 0.780882431176471 63e3a78d-089c-4227-9c89-a69be6e92cd5 00:33:08.520 --> 00:33:11.404 in part because of that prior validation NOTE Confidence: 0.780882431176471 83296bc3-21b3-4c2d-a4e0-adc772691af5 00:33:11.404 --> 00:33:14.089 of data going into the data set. NOTE Confidence: 0.780882431176471 6f648511-7722-4df2-85a8-e270b200d5ba 00:33:14.090 --> 00:33:16.825 That's never really been a NOTE Confidence: 0.780882431176471 51cf3f70-49da-4c93-9a73-53c668e9eafc 00:33:16.825 --> 00:33:19.560 feature of the NHD workflow. NOTE Confidence: 0.780882431176471 f950564f-5937-4fed-b7eb-6630baf2d3a3 00:33:19.560 --> 00:33:22.071 It has been in the WBD but has not NOTE Confidence: 0.780882431176471 ff048000-f14b-4040-b154-69dc6a0323bf 00:33:22.071 --> 00:33:24.429 really been a part of the NHD workflow NOTE Confidence: 0.780882431176471 335433c8-33a2-4fa5-a4d5-c81537667c51 00:33:24.429 --> 00:33:27.512 and a lot of the time that we spend on NOTE Confidence: 0.780882431176471 78b9de51-535b-451e-bff8-403fc5924cd6 00:33:27.512 --> 00:33:30.160 things like NHD plus high res production NOTE Confidence: 0.780882431176471 c1e10e39-a74f-4d56-b9eb-baaf68329e43 00:33:30.160 --> 00:33:32.310 are actually cleaning up problems NOTE Confidence: 0.780882431176471 59d3660f-38ec-4156-9281-451397ba6595 00:33:32.310 --> 00:33:33.399 in the NHD. NOTE Confidence: 0.780882431176471 b53dc705-0ce6-4bf0-8e34-2e861c67339b 00:33:33.399 --> 00:33:36.460 So we're going to work on making sure NOTE Confidence: 0.780882431176471 bfd24c31-6628-47e1-bb46-cb3c3a917a2d 00:33:36.460 --> 00:33:39.463 it's good data that NOTE Confidence: 0.780882431176471 f52afab9-5766-47c4-b65e-c2829f1d290e 00:33:39.463 --> 00:33:42.730 goes into the 3DHP data model. NOTE Confidence: 0.780882431176471 ec6414b3-89e8-4ef1-9ab5-3cf3d5fdfe01 00:33:42.730 --> 00:33:45.030 And presumably by validating NOTE Confidence: 0.780882431176471 a67cc0a1-5ea3-4601-8bd9-dab61d1f4b1f 00:33:45.030 --> 00:33:47.330 the data in advance, NOTE Confidence: 0.780882431176471 70f3b30f-22c6-403a-8238-55100c34efb8 00:33:47.330 --> 00:33:50.012 which we expect to significantly reduce NOTE Confidence: 0.780882431176471 76607767-2838-4809-89c7-9cbd0818e7f4 00:33:50.012 --> 00:33:53.276 the need for wiggling lines for NOTE Confidence: 0.780882431176471 25ebe117-59fe-40ad-9e81-c8a948a744cc 00:33:53.276 --> 00:33:56.150 geometric editing of the data set. NOTE Confidence: 0.780882431176471 47d70a5e-fba6-45be-9a3a-5b511e93cdde 00:33:56.150 --> 00:33:57.160 In fact, at some level, NOTE Confidence: 0.780882431176471 ed094dd7-5f21-4061-9385-d96eb7744c33 00:33:57.160 --> 00:33:59.404 that geometric editing of the data NOTE Confidence: 0.780882431176471 77f8704d-448e-4cb4-ad19-26ff55a53dd3 00:33:59.404 --> 00:34:02.185 set has been very careful with NOTE Confidence: 0.780882431176471 bb12d558-5a8f-4e60-85a5-3f9dfa6c6e0e 00:34:02.185 --> 00:34:05.006 that because it will likely result in NOTE Confidence: 0.780882431176471 9d0c3fce-554b-4445-bade-841c730c7f43 00:34:05.085 --> 00:34:07.800 misalignment with the elevation data. NOTE Confidence: 0.780882431176471 9ef669cb-3450-4955-92e4-779427133873 00:34:07.800 --> 00:34:08.182 However, NOTE Confidence: 0.780882431176471 56f7f54f-d64c-4677-930e-b843a8819be7 00:34:08.182 --> 00:34:10.474 user corrections to geometry NOTE Confidence: 0.780882431176471 df268cee-95d9-4edb-8149-b2d9b369adbf 00:34:10.474 --> 00:34:12.598 and attribution will still be routed. NOTE Confidence: 0.780882431176471 0b580bea-67f5-4519-b4b5-3fffb4ac4181 00:34:12.600 --> 00:34:14.250 They'll be routed through the NOTE Confidence: 0.780882431176471 0b8ba8d5-4ba3-4030-8b96-053e445e01a7 00:34:14.250 --> 00:34:14.910 markup application, NOTE Confidence: 0.780882431176471 9d440fd8-d943-4783-9d75-2d7a039f253e 00:34:14.910 --> 00:34:17.227 which many of you are familiar with. NOTE Confidence: 0.780882431176471 13306718-619a-474f-b2fd-4b5f7c7147c9 00:34:17.230 --> 00:34:18.770 That markup app is a NOTE Confidence: 0.780882431176471 b672ad53-86a8-411e-87dc-585ad76d0958 00:34:18.770 --> 00:34:19.530 NOTE Confidence: 0.780882431176471 673e0678-1920-48e9-8d05-fb8063fd78b7 00:34:19.530 --> 00:34:21.086 much lighter weight environment NOTE Confidence: 0.780882431176471 8efa365c-7f0a-4172-9b4d-7eee26758a1e 00:34:21.086 --> 00:34:23.166 and it's so we don't NOTE Confidence: 0.780882431176471 ae8b298e-e467-40e1-88c3-0a76ee466959 00:34:23.170 --> 00:34:25.430 need everybody NOTE Confidence: 0.780882431176471 6d5a51a8-af06-416a-b784-9fa648cc0440 00:34:25.430 --> 00:34:27.690 contributing a change or contributing NOTE Confidence: 0.780882431176471 3b101129-6a9a-46d0-ab79-358b515a33ee 00:34:27.762 --> 00:34:30.385 of knowledge of local hydrography to NOTE Confidence: 0.780882431176471 70491236-c0a7-429e-98c3-16307f85c022 00:34:30.385 --> 00:34:33.940 be versed in the NHD edit tools or in NOTE Confidence: 0.780882431176471 8af20d67-7bbe-416c-8f45-3972e3d18a10 00:34:34.046 --> 00:34:38.295 how to do database check-ins and checkouts. NOTE Confidence: 0.780882431176471 27ffc3a9-77df-4f94-9ea1-b6affbcbe546 00:34:38.300 --> 00:34:38.571 NOTE Confidence: 0.780882431176471 c8a77f37-b185-4127-a1a3-492c6e001609 00:34:38.571 --> 00:34:39.926 NOTE Confidence: 0.780882431176471 4ae6c768-5ce8-45d7-a86f-d8abed427d1d 00:34:39.930 --> 00:34:43.780 It's a significant burden to NOTE Confidence: 0.780882431176471 cb677c59-f1ca-4622-85ee-04faebd56c7f 00:34:43.780 --> 00:34:46.065 incorporating that local knowledge of NOTE Confidence: 0.780882431176471 c2780b0e-169e-42a4-b082-e7176cf8e9ae 00:34:46.065 --> 00:34:49.407 of hydrography. And we want to try to NOTE Confidence: 0.780882431176471 7f213b20-86f2-4bf2-9a0c-e879eda0c05f 00:34:49.407 --> 00:34:51.703 expand the number of people that are NOTE Confidence: 0.780882431176471 c4eeac14-3a65-4907-9349-b31c57cf2c6f 00:34:51.780 --> 00:34:54.280 able to make contributions without, NOTE Confidence: 0.780882431176471 f085b8fe-6421-4e80-a747-012d5de6347b 00:34:54.280 --> 00:34:54.982 NOTE Confidence: 0.780882431176471 004e6558-8a68-4d0b-843c-33d365de48e7 00:34:54.982 --> 00:34:57.088 having to climb that learning NOTE Confidence: 0.780882431176471 9c7dfad1-74bd-4890-86f2-46a855ab2034 00:34:57.088 --> 00:34:59.297 curve of knowing the edit tools. NOTE Confidence: 0.780882431176471 73b14692-544d-4ded-9b7a-15e309a4e622 00:34:59.300 --> 00:35:01.372 State stewards in that will NOTE Confidence: 0.780882431176471 4a455337-0484-4394-9b1a-c402d5648321 00:35:01.372 --> 00:35:03.681 retain a role in a similar in NOTE Confidence: 0.780882431176471 eba43431-7586-4d87-b846-114af1709561 00:35:03.681 --> 00:35:05.715 a review capacity of those markups. NOTE Confidence: 0.780882431176471 27277422-cb95-45aa-908a-00bcbabe4ad4 00:35:05.720 --> 00:35:08.432 But we're going to make those NOTE Confidence: 0.780882431176471 2275858c-96bd-4e4e-91c1-4ea0bc164522 00:35:08.432 --> 00:35:10.411 edits internally within the USGS NOTE Confidence: 0.780882431176471 9b19a008-95da-4a00-8e71-f35f2d829931 00:35:10.411 --> 00:35:12.910 really to make sure that we have NOTE Confidence: 0.780882431176471 0412482e-0686-4e39-9e1a-ce9ebd595bfc 00:35:12.991 --> 00:35:15.448 a core people who are focused on NOTE Confidence: 0.780882431176471 8042d9e4-02ae-4ca8-a329-460787dd5397 00:35:15.450 --> 00:35:18.010 working with the edit tools all the time. NOTE Confidence: 0.780882431176471 e804b1f8-d52c-4010-b0c8-a30e71237d84 00:35:18.010 --> 00:35:20.926 Again, this is a question of NOTE Confidence: 0.780882431176471 b35079cc-762c-4630-a286-ea95658cf46c 00:35:20.930 --> 00:35:23.450 what the learning curve is NOTE Confidence: 0.780882431176471 0fe30128-56dd-47f9-84ab-0dc37bc89bc7 00:35:23.450 --> 00:35:25.018 for editing versus understanding NOTE Confidence: 0.780882431176471 72e11a4d-87fb-4a58-94c5-7fb6e5bcb108 00:35:25.018 --> 00:35:27.946 of hydrology out in the field. NOTE Confidence: 0.780882431176471 0a75d4b6-97cb-4c31-b838-3df29e067cae 00:35:27.950 --> 00:35:31.230 And migrating the markup tools, NOTE Confidence: 0.780882431176471 6dcfcc44-257a-46f7-ada4-1f2b2a80180a 00:35:31.230 --> 00:35:33.715 the NHD markup tools to 3DHP NOTE Confidence: 0.780882431176471 a321a171-ed42-417d-bca3-720f60263423 00:35:33.715 --> 00:35:35.120 is slated for '24. NOTE Confidence: 0.66618100875 bf77c44a-ad00-4476-a170-7e14a03b507f 00:35:37.860 --> 00:35:40.895 Finally, data distribution NHD certainly NOTE Confidence: 0.66618100875 e39693ea-642b-4aa0-8cce-a8ac847467f2 00:35:40.895 --> 00:35:45.172 was originally conceived, and as you know, NOTE Confidence: 0.66618100875 1c7ddf36-ea5d-4d24-96cc-9c250fe117f0 00:35:45.172 --> 00:35:47.356 largely been a download data set. NOTE Confidence: 0.66618100875 6870a11e-0eac-4c25-a798-1c1549733b08 00:35:47.360 --> 00:35:48.368 People, you know, NOTE Confidence: 0.66618100875 d611cac4-6020-494e-be72-eec7f1d365b8 00:35:48.368 --> 00:35:50.858 grab a copy and do what they need to do, NOTE Confidence: 0.66618100875 66be7014-8792-49f7-a16a-564e8603a792 00:35:50.860 --> 00:35:52.645 they're off and running NOTE Confidence: 0.66618100875 c26d1ed1-a191-4da4-bafa-baf511c4d4ac 00:35:52.645 --> 00:35:54.530 or they grab a copy and NOTE Confidence: 0.66618100875 b804f813-5c94-49eb-9233-8f57a0e4e7f8 00:35:54.530 --> 00:35:56.000 make some changes and then  NOTE Confidence: 0.66618100875 4f0e260a-6aba-47f0-8aaf-965bc269104a 00:35:56.000 --> 00:35:59.020 never find their way back. NOTE Confidence: 0.66618100875 a6769740-c37f-44a7-bb36-0112b62b0fff 00:35:59.020 --> 00:36:00.990 The primary with 3DHP, NOTE Confidence: 0.66618100875 e3f10acb-ab0a-479b-b0ac-29620501ba97 00:36:00.990 --> 00:36:03.594 we want the primary access to be NOTE Confidence: 0.66618100875 b15efb40-54fc-48dd-b3ef-35ba45717ccc 00:36:03.594 --> 00:36:06.026 services and this really ties in NOTE Confidence: 0.66618100875 12e80359-a2b4-48c9-931d-edcd6e680052 00:36:06.026 --> 00:36:08.504 with the Internet of Water concept. NOTE Confidence: 0.66618100875 1c303d95-e0a1-4c10-9b3e-153fbf9e3b8d 00:36:08.510 --> 00:36:11.530 If you're addressing NOTE Confidence: 0.66618100875 3889bb5b-e465-4b10-a59d-e57b10beaf6d 00:36:11.530 --> 00:36:13.946 things to hydrographic features, NOTE Confidence: 0.66618100875 a5117efb-63de-477a-8ac5-77d870f435a7 00:36:13.950 --> 00:36:15.690 we all want to talking about NOTE Confidence: 0.66618100875 26e0794f-93e2-454c-ad18-69ed31f14444 00:36:15.690 --> 00:36:17.482 the same set of hydrographic NOTE Confidence: 0.66618100875 807202f0-e5c2-4d0b-aa79-2dff6a8b6426 00:36:17.482 --> 00:36:19.746 features with those addresses. NOTE Confidence: 0.66618100875 2d90cbf8-3700-4bfc-a362-1cf63251a7c5 00:36:19.750 --> 00:36:21.235 NOTE Confidence: 0.66618100875 081ff08c-00b4-4c87-851d-8e00b97c19e6 00:36:21.235 --> 00:36:23.710 Not different versions of them. NOTE Confidence: 0.66618100875 75c9d532-032e-46a7-83b4-07abf88f5525 00:36:23.710 --> 00:36:26.081 So services make NOTE Confidence: 0.66618100875 32a9e2e0-ad81-456e-bb5f-709e67720a43 00:36:26.081 --> 00:36:27.245 sure everyone's accessing the NOTE Confidence: 0.66618100875 75b9aace-6c02-40ea-9d92-22d1264970ab 00:36:27.245 --> 00:36:29.060 same data and  NOTE Confidence: 0.66618100875 ef59012c-2baa-4d95-b3e4-c0c5e02e3220 00:36:29.060 --> 00:36:32.143 the branching of the data set. NOTE Confidence: 0.66618100875 dc72612f-dd35-4d99-8d7b-80255a5ad63d 00:36:32.143 --> 00:36:34.727 One of the things we have heard  NOTE Confidence: 0.66618100875 edf0fddb-b72a-4b25-a15c-84a184052664 00:36:34.727 --> 00:36:37.948 clearly is that there is a need NOTE Confidence: 0.66618100875 92f93e84-758f-4a11-9782-8c5d9946c664 00:36:37.948 --> 00:36:40.058 for a static version periodically. NOTE Confidence: 0.66618100875 00a62ec7-9e9b-46a9-b67f-7e72ae7758c2 00:36:40.060 --> 00:36:42.190 At this point we're scoping out NOTE Confidence: 0.66618100875 2676c14a-f729-427a-a240-a7295dba6105 00:36:42.190 --> 00:36:44.260 annual releases of the data set, NOTE Confidence: 0.66618100875 75b59497-4067-4f64-b08b-9f3373055c5a 00:36:44.260 --> 00:36:46.288 but these are things that people, NOTE Confidence: 0.66618100875 2c0af234-de3d-4610-b3eb-de95401a3520 00:36:46.288 --> 00:36:47.302 scientists in particular, need NOTE Confidence: 0.66618100875 393a1b7f-6c0e-434a-8b64-a3e1e5080238 00:36:47.302 --> 00:36:49.046 to be able to reference for NOTE Confidence: 0.66618100875 6ee5f9ba-4c83-401a-bb54-6b11e45bf91f 00:36:49.046 --> 00:36:49.618 NOTE Confidence: 0.66618100875 c9685bf6-f8b7-4195-b2a9-1acdbe564393 00:36:49.618 --> 00:36:51.620 research purposes to say "I used NOTE Confidence: 0.66618100875 afedc267-764d-4a3d-a52c-87a6a6a32121 00:36:51.684 --> 00:36:53.784 this data to perform this analysis" NOTE Confidence: 0.66618100875 a98ac169-b98f-4e24-be29-07bb37d2809c 00:36:53.784 --> 00:36:55.799 and that's something that we also NOTE Confidence: 0.66618100875 ef532f74-5308-4f13-8f03-b57d0ca05e8d 00:36:55.799 --> 00:36:57.443 haven't really been able to do NOTE Confidence: 0.66618100875 aafe40b9-82ac-4b2c-a210-b4bef6c878a6 00:36:57.443 --> 00:36:59.232 with the NHD over the years. NOTE Confidence: 0.66618100875 bc5abb7d-3a5a-4cda-b301-fa6578257844 00:36:59.232 --> 00:37:02.256 But we will be able to do NOTE Confidence: 0.66618100875 ca6c243f-6567-43cf-8656-699295c1e91b 00:37:02.256 --> 00:37:05.427 We'll be building that into 3DHP. NOTE Confidence: 0.66618100875 21eb8aee-8667-49cf-96c3-02f48e6e80bd 00:37:05.430 --> 00:37:08.307 I know you've seen this graphic before, NOTE Confidence: 0.66618100875 4330fcd6-10a7-4836-b90d-09c0dda3eb25 00:37:08.310 --> 00:37:12.900 there's a lot going on in FY23. NOTE Confidence: 0.66618100875 a5d328bd-cfbb-4c7c-9f89-4e3264529246 00:37:12.900 --> 00:37:14.224 NOTE Confidence: 0.66618100875 6c125923-a7a6-40aa-815a-28dd2545947a 00:37:14.224 --> 00:37:16.872 We've assembled our governance NOTE Confidence: 0.66618100875 d03b1a90-8e0a-4168-9a41-a271b4f752b7 00:37:16.872 --> 00:37:18.858 and communication structures, NOTE Confidence: 0.66618100875 606269e4-0f1f-47ec-bcd1-0222d8f5f9a6 00:37:18.860 --> 00:37:21.540 we've worked through pilots in NOTE Confidence: 0.66618100875 40194317-dc10-47fc-8154-7a06516a114e 00:37:21.540 --> 00:37:24.745 both Alaska and CONUS  NOTE Confidence: 0.66618100875 4eb426d8-8847-4b4d-8610-21af6b9a6bc8 00:37:24.745 --> 00:37:27.797 we've learned a lot from those to provide a lot of  NOTE Confidence: 0.66618100875 fcde14cd-7b9d-418b-85d0-8057ef354c7a 00:37:27.797 --> 00:37:29.413 additional guidance and revisions NOTE Confidence: 0.66618100875 9557114b-3bdb-4bec-bbdf-7359209b171a 00:37:29.413 --> 00:37:31.368 to the specifications to make NOTE Confidence: 0.66618100875 aa11183c-369f-4155-8eb3-9dfccbfc5b4c 00:37:31.368 --> 00:37:33.608 sure those are working. On the NOTE Confidence: 0.66618100875 98ec36be-4b03-4e55-a231-119398237c3c 00:37:33.608 --> 00:37:35.378 baseline data set completion item, NOTE Confidence: 0.66618100875 68f5eacb-4bcd-48aa-8f95-4186ecd8f351 00:37:35.380 --> 00:37:38.103 we are going to produce  NOTE Confidence: 0.66618100875 6690646b-6281-4ff6-a117-bddb8a8f4077 00:37:38.103 --> 00:37:40.615 NHD Plus High Res in Alaska this NOTE Confidence: 0.66618100875 e9331c07-3d6a-44a0-a04d-f19f7bb4b080 00:37:40.615 --> 00:37:43.225 year to fit our GPRA metric. NOTE Confidence: 0.66618100875 b2585c61-84ad-4ec7-93a2-b6882c5e3bee 00:37:43.230 --> 00:37:44.742 But beyond that, NOTE Confidence: 0.66618100875 d51af95f-b823-46d0-8cb3-f987ac0d2562 00:37:44.742 --> 00:37:45.246 NOTE Confidence: 0.66618100875 388c187e-85f1-4dda-b320-93ecaaa76a24 00:37:45.246 --> 00:37:48.679 we will shift production to 3DHP and NOTE Confidence: 0.66618100875 b18d8d38-7ba6-4f1b-a397-fff9213b0ca0 00:37:48.679 --> 00:37:51.364 3DHP is going to include both NOTE Confidence: 0.66618100875 c9a27173-bf87-437c-b881-f6f373ceeb60 00:37:51.364 --> 00:37:54.244 include the things that are NOTE Confidence: 0.66618100875 bd6d2935-09ac-4fd2-a71e-7d7931e1f7ea 00:37:54.250 --> 00:37:57.409 core to NHD Plus NHD Plus High Res NOTE Confidence: 0.66618100875 8e1a7678-9894-4d55-8dc3-db7bb88070b9 00:37:57.409 --> 00:38:00.218 would be a catchment channels, NOTE Confidence: 0.66618100875 382a08e8-7898-4851-8645-2975ccf3c266 00:38:00.218 --> 00:38:03.626 catchments and raster products. NOTE Confidence: 0.66618100875 946934d3-8b81-4b49-b265-e2982198bcfc 00:38:03.630 --> 00:38:06.199 But we're going to shift to that NOTE Confidence: 0.66618100875 a3553093-cd38-42da-bd95-f69a07e012a4 00:38:06.199 --> 00:38:08.502 environment rather than continuing NOTE Confidence: 0.66618100875 e6f4fc02-bd81-49a3-9d9d-d9acff6e17b7 00:38:08.502 --> 00:38:13.010 to work with the NHD plus tools. NOTE Confidence: 0.66618100875 4e89f186-70bf-4ea9-9fea-dd35de32788c 00:38:13.010 --> 00:38:16.250 Moving down through the acquisition NOTE Confidence: 0.66618100875 87fa0a09-dc63-4b88-9d26-1bfb9ed4d947 00:38:16.250 --> 00:38:18.470 items, those are areas where NOTE Confidence: 0.66618100875 a9f186aa-c1ea-418e-88b6-5d6713a2fdb7 00:38:18.470 --> 00:38:20.860 Sue's been very active, NOTE Confidence: 0.66618100875 67a32185-4df2-47ec-835d-0e64be232cf7 00:38:20.860 --> 00:38:21.273 NOTE Confidence: 0.66618100875 94c83652-18f9-4610-82c2-12e69ee9ffa3 00:38:21.273 --> 00:38:23.338 trying to work through our NOTE Confidence: 0.66618100875 03f2b774-cba6-4fa9-a2ed-e15b36ae2474 00:38:23.338 --> 00:38:25.286 elaborate process in the federal NOTE Confidence: 0.66618100875 41851758-a2cc-4df5-ae9c-e00719117d8f 00:38:25.286 --> 00:38:27.146 government to get a BAA out. NOTE Confidence: 0.66618100875 a8fc8279-3d3e-424c-be6a-d394675bed93 00:38:27.150 --> 00:38:29.440 We hope to be able to do that and hope NOTE Confidence: 0.66618100875 f9c5f992-6d3d-4136-b5e6-0e825d8bdeed 00:38:29.505 --> 00:38:31.913 to have funding to support it next year. NOTE Confidence: 0.66618100875 c1f90883-cf0d-496d-bf96-5f402a21de6b 00:38:31.920 --> 00:38:34.097 We are putting the other operational plans, NOTE Confidence: 0.66618100875 a15a7fc5-91b5-4273-9bbb-6baf378ef9ca 00:38:34.100 --> 00:38:35.342 data models, NOTE Confidence: 0.66618100875 8a06fc89-0b80-4077-a4f9-de6232e40c1e 00:38:35.342 --> 00:38:37.972 that sort of thing, and then hope NOTE Confidence: 0.66618100875 cded20a1-a9fb-4224-a626-9167ec3a7e88 00:38:37.972 --> 00:38:40.240 to be able to start to pilot NOTE Confidence: 0.66618100875 918aef58-c7b7-4d80-8188-2df16393eca4 00:38:40.327 --> 00:38:42.877 some of the infrastructure tools, NOTE Confidence: 0.66618100875 e197e27c-7d70-4d94-a7b8-fef57f19211f 00:38:42.880 --> 00:38:44.730 working with partners, trickling water, NOTE Confidence: 0.66618100875 faf55511-d994-434b-b3ed-b83541ac8527 00:38:44.730 --> 00:38:47.280 mission area and the NOTE Confidence: 0.66618100875 17db6311-bc9a-4803-a495-7f1b0214e192 00:38:47.280 --> 00:38:50.616 Geo connects to be able to NOTE Confidence: 0.66618100875 c20d8216-7b73-4bdd-bc61-9469d1fc6072 00:38:50.620 --> 00:38:52.140 have more  NOTE Confidence: 0.66618100875 f9793738-f176-45d7-8bd4-8b7baf1eaad5 00:38:52.140 --> 00:38:54.420 be able to start to leverage NOTE Confidence: 0.66618100875 131069ee-4fb2-4df8-9a6b-ede1e4ba7105 00:38:54.507 --> 00:38:57.516 some of those technologies for NOTE Confidence: 0.66618100875 0446c3f4-fbd2-463a-9b00-5abe07a23c8e 00:38:57.516 --> 00:39:01.300 addressing and search and discovery. NOTE Confidence: 0.66618100875 b08b0af3-8b8c-4d57-b746-2a2b8e495132 00:39:01.300 --> 00:39:02.636 During this transition period, NOTE Confidence: 0.66618100875 125d241b-4dbd-494b-91af-95f4b3ffa714 00:39:02.636 --> 00:39:04.640 things are going to be a NOTE Confidence: 0.8901226175 6eb60f84-c109-49f6-a05a-a63390cb7872 00:39:04.705 --> 00:39:05.859 little challenging. NOTE Confidence: 0.8901226175 673744e1-6b31-4374-bfee-6646c43ce53a 00:39:05.860 --> 00:39:08.450 We have to basically NOTE Confidence: 0.8901226175 cb239b89-d6df-432f-b427-6c238556a111 00:39:08.450 --> 00:39:11.816 wind down processes for an NHD WBD NOTE Confidence: 0.8901226175 7c4a7e2d-3501-4d88-909b-0b7e01210bea 00:39:11.816 --> 00:39:16.329 and NHD Plus HR over the next year. NOTE Confidence: 0.8901226175 7dad5e8d-3ac7-4bfa-98f0-6b09148f04cc 00:39:16.330 --> 00:39:19.865 Starting with markups, if NOTE Confidence: 0.8901226175 350179a6-033c-4e75-8f5f-96fba31d6a63 00:39:19.870 --> 00:39:23.400 partners provide markups by November NOTE Confidence: 0.8901226175 eec1b7e3-2be8-451e-8976-835ed4e36650 00:39:23.400 --> 00:39:25.610 30th, we will get those implemented. NOTE Confidence: 0.8901226175 13da5837-a6e1-45b8-8999-842680e4179d 00:39:25.610 --> 00:39:29.290 After that it becomes a resource NOTE Confidence: 0.8901226175 2901c23f-80b4-4d12-89fa-b47fe95cc832 00:39:29.290 --> 00:39:32.345 as resources available kind of questions. NOTE Confidence: 0.8901226175 45642c7e-528f-4bb1-b524-aad0ce23d3a0 00:39:32.345 --> 00:39:34.955 So that's the markup threshold. NOTE Confidence: 0.8901226175 856818f0-5a45-488b-adb3-8c71df7ef6ca 00:39:34.960 --> 00:39:37.067 Editing, we need to phase out NOTE Confidence: 0.8901226175 eea05d5c-30f6-431d-9517-a9857ea369a1 00:39:37.067 --> 00:39:38.684 external editing during the NOTE Confidence: 0.8901226175 d9b51aab-3337-4efe-80cf-d99ff66f219f 00:39:38.684 --> 00:39:40.640 first quarter of next fiscal year. NOTE Confidence: 0.8901226175 f090cdf2-858a-49df-92bb-524b71a12b79 00:39:40.640 --> 00:39:43.920 So that's by December 31st. NOTE Confidence: 0.8901226175 1795340c-671d-40c9-ac9a-ff8fae3fc6e9 00:39:43.920 --> 00:39:45.480 And so we're discontinuing NOTE Confidence: 0.8901226175 ba28f452-91ad-4036-8a7b-00767b999c22 00:39:45.480 --> 00:39:46.416 new editor training, NOTE Confidence: 0.8901226175 b6688c56-f6d7-427e-932f-4e358296520c 00:39:46.420 --> 00:39:49.030 that's probably new training. NOTE Confidence: 0.8901226175 0d7341a2-22a1-44f1-8910-6c08fd4f77cb 00:39:49.030 --> 00:39:51.334 Climbing that learning curve NOTE Confidence: 0.8901226175 7198d90a-d722-4671-83ba-d83fdd6b2de3 00:39:51.334 --> 00:39:53.233 for four months probably doesn't NOTE Confidence: 0.8901226175 bcedafeb-8ff8-43f7-8fb6-871ad6e70d47 00:39:53.233 --> 00:39:55.609 make a lot of sense or start to NOTE Confidence: 0.8901226175 059f3b17-6c88-4b11-887f-b07506124664 00:39:55.609 --> 00:39:58.334 restrict job checkouts and phase out NOTE Confidence: 0.8901226175 4953303a-96f2-426a-a6e4-a82704f08151 00:39:58.334 --> 00:40:01.442 external edit access to the database. NOTE Confidence: 0.8901226175 75644112-28c8-4c25-b012-58b5c2aa6926 00:40:01.450 --> 00:40:04.090 WBD editing, mostly because it's NOTE Confidence: 0.8901226175 0d66af45-6511-4e22-9ebf-d8d9b45e1fe7 00:40:04.090 --> 00:40:06.250 largely a parallel workflow and NOTE Confidence: 0.8901226175 55f73b96-7686-46b9-b712-4c7ec680a6da 00:40:06.250 --> 00:40:09.354 a lot less intertwined workflow, NOTE Confidence: 0.8901226175 b370f629-8563-4866-9df9-1e91ebb5614e 00:40:09.354 --> 00:40:13.501 we can keep open until June 30th NOTE Confidence: 0.8901226175 18c6bda1-94e3-4db8-a613-1ce9d2b1a92f 00:40:13.501 --> 00:40:14.887 of next year, NOTE Confidence: 0.8901226175 a72e881a-6b98-4fe0-9b17-c8fafa8e23d2 00:40:14.890 --> 00:40:18.280 but we do need to phase that out as well. NOTE Confidence: 0.8901226175 21c61e3b-759d-4101-a9e8-62fa1b09ff4e 00:40:18.280 --> 00:40:21.304 In '23, we still have some GPRA goals NOTE Confidence: 0.8901226175 0a829995-e31a-4776-8611-d0efdd90f487 00:40:21.304 --> 00:40:23.689 for producing NHD Plus High Res, NOTE Confidence: 0.8901226175 2464f3b8-7e11-4825-a250-25284c09708a 00:40:23.690 --> 00:40:25.986 so we will do those. NOTE Confidence: 0.8901226175 efae3a2d-c6de-410a-b7c7-63cb9bf5c8c2 00:40:25.990 --> 00:40:28.846 But then we're basically at a halt NOTE Confidence: 0.8901226175 8155d846-c1ad-483b-a943-2d1e5eb1971d 00:40:28.846 --> 00:40:31.249 production of NHD Plus High Res. NOTE Confidence: 0.8901226175 b65e0b56-4c19-40df-95fe-df580e21c2db 00:40:31.250 --> 00:40:33.714 When we meet those goals and start to NOTE Confidence: 0.8901226175 eeeca4dd-aec9-4231-acb7-bf49ee15568a 00:40:33.714 --> 00:40:36.609 pivot to producing the 3DHP datasets. NOTE Confidence: 0.8901226175 df3338b7-1ee3-4ebb-895f-15eda57455bd 00:40:36.610 --> 00:40:37.266 NOTE Confidence: 0.8901226175 0a2b1710-0d64-4493-bdde-7d3c250b9f95 00:40:37.266 --> 00:40:41.750 At the end of FY23 in September, NOTE Confidence: 0.8901226175 2f396239-ec24-428b-b04e-19e0b88696bc 00:40:41.750 --> 00:40:45.118 we'll publish final versions of each of NOTE Confidence: 0.8901226175 8d4fcc7c-08a0-46bd-8239-dffb91339bdb 00:40:45.118 --> 00:40:48.226 the datasets. And those versions will be NOTE Confidence: 0.8901226175 15b731fb-fae1-4e76-a7bd-cd822f7ee1bd 00:40:48.226 --> 00:40:51.829 available for years to come. NOTE Confidence: 0.8901226175 4d1b2aed-48f5-4668-9670-1dc6b2fcd515 00:40:51.830 --> 00:40:52.414 NOTE Confidence: 0.8901226175 2addfd57-2818-4c32-b85a-67f4e0dc8b92 00:40:52.414 --> 00:40:52.998 NOTE Confidence: 0.8901226175 bc7b47bf-1d25-4bb7-9952-61515b35af8c 00:40:52.998 --> 00:40:55.417 We know there are people still out there NOTE Confidence: 0.8901226175 5593372b-4142-4229-a49c-ab60239bfce5 00:40:55.417 --> 00:40:57.545 using the NHD Plus version one from NOTE Confidence: 0.8901226175 e8a2b216-b275-4efa-961c-4c3c7df6f719 00:40:57.550 --> 00:41:00.460 10 or 12 years ago. NOTE Confidence: 0.8901226175 0a2d3514-78a2-41b7-9e5e-bb989734d65a 00:41:00.460 --> 00:41:02.441 Those versions will be out NOTE Confidence: 0.8901226175 6ad373a3-c6b4-4c2b-a62d-3a5d60ba0f5e 00:41:02.441 --> 00:41:04.399 there for the foreseeable future NOTE Confidence: 0.8901226175 b670765b-790a-4120-a4cc-331c67fef105 00:41:04.400 --> 00:41:07.112 and the services will also remain NOTE Confidence: 0.8901226175 93843dce-6c86-48df-bd8d-641fd6a8b196 00:41:07.112 --> 00:41:10.722 active so that we can use things like NOTE Confidence: 0.8901226175 d9cacc59-ac05-4f6d-ab53-e570d8e1d739 00:41:10.722 --> 00:41:13.562 Hydro add against the NHD for NOTE Confidence: 0.8901226175 d1ea0b5f-478c-45b4-affc-e2522f6bfc03 00:41:13.562 --> 00:41:15.536 years to come.  NOTE Confidence: 0.8901226175 c8696b73-e5b9-4c0b-a1c5-d1f5921b4675 00:41:15.536 --> 00:41:16.640 And then finally HydroAdd, NOTE Confidence: 0.8901226175 837c4721-d6eb-4b08-92ed-4783369adb90 00:41:16.640 --> 00:41:18.680 we know we still have some work to NOTE Confidence: 0.8901226175 e043e798-18f5-4d55-ba4e-cd7de73baa04 00:41:18.680 --> 00:41:20.840 do particularly in the line event, NOTE Confidence: 0.8901226175 74544b8b-b81d-4114-a60f-369a55ac158d 00:41:20.840 --> 00:41:23.542 batch QC of line events, and putting NOTE Confidence: 0.8901226175 90d88ed5-668f-4145-aa14-a773334b0063 00:41:23.542 --> 00:41:25.409 polygon events into the tool. NOTE Confidence: 0.8901226175 095f384d-e26b-49a3-88d1-8c7f74214075 00:41:25.410 --> 00:41:27.286 That work will happen in '23 and NOTE Confidence: 0.8901226175 c407fbda-c0d0-4f12-83ee-e20b86277b42 00:41:27.286 --> 00:41:29.136 again that tool will continue NOTE Confidence: 0.8901226175 53794ac7-9c44-41a4-a9af-bd1f01efcbe6 00:41:29.136 --> 00:41:30.776 to work against the static NHD NOTE Confidence: 0.8901226175 c9f51ea9-1477-4634-ac6a-b26730f32cff 00:41:30.780 --> 00:41:31.297 NOTE Confidence: 0.8901226175 b1f77c82-6955-42d0-85da-4015bb5db20d 00:41:31.297 --> 00:41:34.916 but in '24, that tool will migrate NOTE Confidence: 0.8901226175 4c7d6107-fe2a-4d47-a5f7-b72b9a9a2edf 00:41:34.916 --> 00:41:38.658 to work against 3DHP as well. NOTE Confidence: 0.8901226175 cc266bf4-a59c-432e-a9ef-65968e7dd2d5 00:41:38.660 --> 00:41:41.508 So for some period of time it'll work NOTE Confidence: 0.8901226175 98cac3ba-8626-4911-8cbf-d3a32dce0b30 00:41:41.508 --> 00:41:45.520 against both. And I think with that, NOTE Confidence: 0.8901226175 d43959f0-41e4-42da-9b34-3617ddfea501 00:41:45.520 --> 00:41:47.630 that's the presentation.