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Lesson 10d1: Importing Data into LP360.

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LP360 is a family of tools for visualizing, manipulating and editing point cloud data and are offered both as an extension for ArcGIS,

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and as a standalone desktop platform for Window.

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By the end of this lesson, you will be able to open lidar point cloud LAS data files in the LP360 Viewer,

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visualize the data in 2-D and 3-D, change the visualization using toolbar functions, and turn on all or specific lidar point Classes.

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Before we begin, you will want to download some lidar data to use during our exercise.

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For this lesson, we've conveniently packaged six tiles of LAS data into a zip file called

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“USGS_LPC_CO_SoPlatteRiver_Data_for_Lessons.zip” and loaded it to our FTP website.

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Please navigate to this location and download the zip package.

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Note that this package file is over 700 Mbytes and may take 10-15 minutes to download.

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After you've downloaded the lidar data, extract the zip file into a folder on your local computer to use during this lesson.

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The National Map has a download client where you can find USGS products to include elevation data such as lidar point clouds.

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If you are interested in learning more about downloading products on The National Map, be sure to check out our training videos.

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LP360 is available in six licensing levels with capabilities ranging from simple point cloud visualization,

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to more advanced QA/QC, classification and analysis functions.

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We are using the standalone LP360 Viewer license, version 2018.1.57.7 for this tutorial.

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The standalone LP360 Viewer license is freely available through the manufacturer.

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If you do not already have the LP360 viewer on your computer,

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please visit their support site

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and click on the “Get Support” button below the LP360 logo.

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Type LP360 in the subject line of the email

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and type “I am writing to request a license for the LP360 viewer” in the body of the email.

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You will receive a license manager and instructions for setting up LP360.

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Your system administrator may need to assist you.

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Additionally, for supplementary information about LP360 Viewer Tools, please reference the tool guide.

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Launch the LP360 Viewer.

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When LP360 loads you will see the ‘View' pane, the ‘Table of Contents' pane, the ‘LP360 Toolbar,' and the ‘Display and Navigation Toolbar'.

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Toolbars can be toggled on and off through the ‘View' menu.

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If you click on the ‘View' menu, you should see checkmarks next to the ‘LP360 Toolbar,'

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‘Display and Navigation Toolbar,' and the ‘Table of Contents.' If not, toggle them on now.

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LP360 is a point cloud tool, however, in addition to opening LAS files, it can also load vector and raster data with ease.

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To load LAS files, you can either click File&gt; Open&gt; LAS Files, or click the ‘Add LAS/Raster Layer' button.

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In the ‘Add Files' window, click the green ‘Add' button and browse to the location of the lidar point cloud LAS files

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that were downloaded from the FTP site.

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Click on the file named ‘USGS_LPC_CO_SoPlatteRiver_Lot5_2013_13SDD480395_LAS_2015 ‘

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and click ‘Open'.

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In the ‘Open Setting' preferences, click the radio button to select ‘Open Read-Only.'

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Under the ‘Load Setting,' select ‘Load Files,' and under ‘Options,'

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toggle the ‘Pyramid' option and accept the default ‘Thinning' value of 16. Then click ‘OK.'

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This lidar tile is in Apex Open Space park, just west of Golden, Colorado.

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After a few seconds you should see the one tile of lidar data displayed in the ‘View' pane,

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and a LAS Layer_1 added to the ‘TOC' tab of the ‘Table of Contents.'

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The ‘LAS Files' tab shows additional information about this layer.

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Under LAS Layer_1, we can see that this layer contains one file

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and the name of the lidar tile that we loaded in the previous step.

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The ‘Load' icon next to the lidar tile name tells us that the lidar points are currently loaded.

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Double-clicking on this icon will unload the data and cause it to disappear from the ‘View' pane.

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This is especially helpful when you have multiple tiles loaded.

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Double-clicking the ‘Load' icon again will reload the data.

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The ‘View' pane defaults to displaying the full extent of the data.

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You can use the ‘Display and Navigation Toolbar' to explore the data further.

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This tutorial will cover the most relevant buttons; however, you may refer to the LP360 Tool Guide for a more comprehensive reference.

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This toolbar provides multiple options for Zooming in and out and panning through the data layer.

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The ‘Zoom In' or ‘Zoom Out' buttons enable you to zoom in or out of a spot of the map

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by left clicking in the ‘View' pane, or by left-clicking and dragging a rectangle in the ‘View' pane.

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Additionally, if you want to move around in the ‘View' pane without changing your zoom,

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you can use the ‘Pan' button to maneuver around to a new area.

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The ‘Zoom Previous' button returns to the previous zoom level, and finally, the ‘Full Extent' button returns to the default map view.

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The ‘LP360 Toolbar' enables us to easily change visualizations using the ‘Legend Types' and ‘Draw Types' drop-down menus.

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‘Legend Types' displays points based on attribute values such as elevation, classification, intensity and point source ID.

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The availability of various ‘Legend Types' is dependent upon the attributes present in the loaded lidar tile.

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By default, LP360 visualizes the LAS point values using a ‘Display by Elevation' rainbow color palette

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where blue corresponds to the lowest elevation, and red corresponds to the highest elevation values.

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Notice that the ‘TOC' tab of the Table of Contents also displays ‘Elevation' as the current Legend type.

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Click on the ‘Legend Types' drop-down menu and select ‘Display by Classification.'

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The legend on the TOC tab now displays all possible point classifications.

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Note that not all of these point classifications will be represented in our LAS tile.

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In fact, from the ‘View' pane we can see that in our LAS file most of the points are classified as Ground (colored in orange),

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Unclassified (colored in gray), and High Noise (colored in pink).

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Now click on the ‘Legend Types' drop-down menu and select ‘Display by Intensity.'

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This is displaying lidar points as a gradient from black to white based on the intensity of the return pulse.

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Intensity is a measure of the surface reflectance and will be higher (lighter colors)

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for surfaces with stronger reflectance back to the lidar sensor and lower (darker) for surfaces with less reflectance.

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Up until this point, we have only been visualizing the LAS file based on point classifications.

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However, the ‘Draw Types' drop-down menu provides additional options

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for viewing data as different surface types.

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Click the ‘Draw Types' drop-down menu and select display the Triangulated Irregular Network or TIN surface.

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This ‘Draw Type' draws a TIN surface on-the-fly based on the attributes of the input lidar points.

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The ‘View' pane is now displaying a continous surface derived from lidar point intensity values.

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We can now see a lot more detail of the landscape including trees, a rock quarry, and a road.

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Now, use the “Legend Types” drop-down menu to view the original “Display by Elevation” legend as a TIN surface.

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Displaying the elevation values as a TIN surface gives us an excellent view of the topography of the area.

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However, notice how some of the finer features such as roads are harder to identify with this legend

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as compared with the previous ‘Display by Intensity' legend.

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LP360 provides the ability to apply intensity shading on top of the current display surface.

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Similar to the ‘Legend Types' tool, the ability to use the ‘Apply Intensity Shading' tool

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is dependent upon the existence of intensity values within your LAS dataset.

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Now click the ‘Apply Intensity Shading' button to the right of the draw type button.

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You should now see an intensity shading applied to the elevation surface.

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The addition of intensity shading accentuates many of the finer features on the surface such as roads and striations in the rock quarry.

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Though the ‘View' pane is displaying a lot of detail on the surface, we can see on the ‘LP360 Toolbar'

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that that our view is currently only displaying 1.56% of the data.

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At this scale it is not necessary to use 100% of the points to observe characteristics of the land surface.

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Additionally, thinning the data allows for greater performance while exploring the dataset.

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However, LP360 does provide a “Force 100% Resolution” tool which will force all points to be drawn on the screen.

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Click the “Force 100% Resolution” button.

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Because this is your first time using the ‘Force 100% Resolution' tool, you should see the “Full Resolution Help Tip” pop up.

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The tool tip warns that since rendering 100% of the lidar points is very memory intensive,

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the number of points drawn may exceed the ‘maximum cache size' allowed by this tool resulting in only a subset of the surface being generated.

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Since the ‘View' pane is currently displaying the entire extent of our LAS data, this tool will fail to force 100% resolution on the entire tile.

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Note this tool tip will only pop up if this is the first time using the “Force 100% Resolution” button during this session.

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Click “No” to exit the tool tip.

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Using the ‘Zoom In' tool on the ‘Display and Navigation Toolbar' zoom in on the building in the lower left corner.

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This is the Mother Cabrini Shrine in Golden, Colorado.

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The drop-down menu below the ‘View' pane shows the current scale of the display.

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This will be grayed out in the LP360 Viewer license software version.

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Using the ‘Zoom In' tool, zoom in until the scale display reads just under 1:1000.

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Now that we are zoomed into a smaller region, click the ‘Force 100% Resolution' button again.

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On the ‘LP360 Toolbar' you should now see that the ‘View' pane is displaying 100% of the data.

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Displaying 100% of the data on the subset of our LAS tile significantly increases the details we can observe in the the ‘View' pane.

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The outlines of the buildings and hedges are now sharply defined and we can even make out the lines in the parking lot.

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Now de-select the ‘Force 100% Resolution' button

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and use the ‘Full Extent' button on the ‘Display and Navigation Toolbar' to return to the full extent of the LAS tile.

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LP360 also makes it very simple to view the data in 3D.

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Start by activating the ‘Viewer Integration Toolbar.'

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This is accomplished by clicking the drop down ‘View' menu, and clicking the ‘Viewer Integration Toolbar.'

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The ‘Viewer Integration Toolbar' will now appear in the LP360 window.

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To use the ‘3D Window', click the ‘Toggle 3D Display' button.

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By default, the ‘3D Window' opens up without any data in it.

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You can also open the ‘3D Window' through the ‘View' drop-down menu.

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However, since your 3D window is already open, you should see a check mark next to the ‘3D Window' option showing that it is active.

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Now toggle the ‘Table of Contents' to hide it from view.

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We will now select the data to display in the ‘3D Window.'

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Click the ‘Draw 3D Viewer Extent' button.

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This will activate a selector cursor in the 2D ‘View' pane that can be used to choose data to display in the ‘3D Window'.

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We will look a the rock quarry in the lower right hand corner of the LAS tile.

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Draw an extent box over the quarry by left clicking the cursor and dragging box over the area of interest.

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When you let go of the cursor you will see a new white bounding box drawn in the 2D window.

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The ‘3D Window' is now displaying a 3D rendering of the point cloud data contained within that bounding box.

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We can explore the data in the 3D view using the mouse buttons.

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To Zoom, click and hold the left mouse button while moving your mouse forwards and backwards.

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To rotate the 3D view, click and hold the right mouse button and drag the tile around to a new angle.

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Similar to the 2D ‘View' pane, the ‘3D Window' also enables us to visualize data by changing ‘Draw Types' and ‘Legend Types'.

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On the ‘3D Window' toolbar, use the ‘Draw Types' drop-down menu and select ‘Display TIN Surface.'

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Also on the ‘3D Window' toolbar, ensure that the button that ‘Toggles hillshading of the TIN surface' is turned on.

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Now as you zoom and pan around in the ‘3D Window' you will notice large spikes protruding from the surface.

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Since we are displaying all the data point classifications, these spikes show the high noise point classifications present in our data.

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LP360 provides several methods to filter data in order to only display the data that are of interest to us.

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Additionally, 2D and 3D filters are separate, so you can change filter parameters in one window independently of the other.

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First, in both the 2D and 3D view windows, you will see a drop-down menu with the ‘Filter' currently set to ‘All Points.'

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The ‘Filter' drop-down option provides several pre-set options such as ‘Ground' and ‘Canopy.'

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Keep in mind that the availability of these filters will depend on the classifications within your LAS tile.

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Using the ‘Filter' drop-down in the 3D view, select ‘Ground.'

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The ‘3D Window' now only displays points that have been classified as ‘Ground'.

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Next, we can also select points of interest by changing the display properties for our LAS tile.

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Click on the ‘Display Properties' icon in the 3D window.

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This will open a ‘Viewer Properties' window for the LAS tile.

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The ‘Viewer Properties' window provides a lot of options to customize point symbology and point filters which are beyond the scope of this tutorial.

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In the ‘Viewer Properties' window, click on the ‘Display Tab.'

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This will open the ‘Points Filter' Tab showing the ‘Classifications' tab.

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Be sure that the ‘Use Points Filter for TIN' option is toggled on, if not, toggle it on now.

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This ‘Classifications' tab displays the ‘ASPRS Class Values and Names' that may be present within our LAS dataset.

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Notice that since we selected the pre-defined ‘Ground' filter in the previous step currently only Class 2 ‘Ground' and Class 8 ‘Reserved' are toggled on.

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In the ‘Classifications' tab toggle on Class 1 ‘Unclassified' and then click ‘Apply.'

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In the ‘3D Window' you should now see sparse vegetation appear on the ground surface.

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The ‘Classifications' tab provides complete control over which point classifications to view or exclude from the view.

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Click ‘Cancel' to exit the ‘Viewer Properties' window.

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Now, click ‘Applying Intensity Shading' on the ‘3D Window Toolbar.'

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As we saw in the 2D view, applying intensity shading sharpens fine surface details such as the quarry striations and the vegetation.

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In addition to the 2D and 3D views, LP360 Viewer provides profile view options which can be useful for further data exploration.

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To simplify the view interface, close the 3D view window by deselecting the ‘Toggles the 3D Window' button.

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Now, on the ‘Viewer Integration' Toolbar, click the ‘Toggle Profile Window' button to activate the ‘Profile View'.

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The ‘Profile View' window will appear at the bottom of the LP360 Viewer window.

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Select the ‘Draw the Profile Box in 2D View' and ‘Draw the Profile Center Line in 2D View' buttons.

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Now, click the ‘Draw a Profile Line' button.

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To create a profile, in the 2D ‘View' pane first click on a hill on one side of the valley,

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then move your cursor to a hill across the valley and click again thereby creating the center line for the ‘Profile View'.

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To adjust the width, move your cursor perpendicular to the center line.

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When you are satisfied with the width, click a third time to make your selection.

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The points contained within your ‘Profile Box' are now displayed in the ‘Profile View'.

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Now, enlarge the ‘Profile View' by hovering your cursor at the top of the pane until a resize icon appears,

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then click and drag the bar up to resize the window until you can view the extent of the profile.

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As with the 2D and 3D View windows, the ‘Profile View' also contains the ‘Legend Types' menu and the ‘Display Properties' menu.

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The ‘Profile View' is another convenient method to explore point classifications and attributes contained

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while simultaneously viewing the underlying topography of the surface.

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You've finished Lesson 10d1: Importing Data into LP360.

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In this lesson, we discussed how to load a single LAS file in LP360, explore the data in 2D, 3D and Profile views,

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and use the LP360, Display and Navigation, and Viewer Integration Toolbars.

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We also learned how to filter lidar data by classification and apply symbology based on lidar point attributes.