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<idPurp>This 3-foot resolution canopy height model (CHM) depicts Marin County’s woody canopy as a Digital Elevation Model. Pixel values of the countywide raster are.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN STYLE="font-weight:bold;font-size:12pt"&gt;Methods:&lt;/SPAN&gt;&lt;SPAN STYLE="font-size:12pt"&gt; &lt;/SPAN&gt;&lt;SPAN /&gt;&lt;SPAN&gt;&lt;SPAN /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;This LiDAR derivative provides information about vegetation height. The 3-foot resolution raster was produced from the winter, 2019 Quality Level 1 LiDAR point cloud (already ground classified) using Lastools in a multistep process. The processing steps were as follows:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Create Tiles (lastile)&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Height Normalize the Point Cloud (lasheight)&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Classify Buildings (lasclassify)&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Clamp Building to 0 Ft. Normalized Height (las2las)&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Thin the Point Cloud (lasthin)&lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Convert the Point Cloud to a DEM (las2dem) &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN STYLE="font-weight:bold;font-size:12pt"&gt;Uses and Limitations:&lt;/SPAN&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;The canopy height model provides a raster depiction of the highest vegetation returns for each 3x3 foot raster cell across Marin County. The layer is useful for myriad vegetation and forest-related analysis and is an important input to the automated processes used to develop the Marin County fine scale vegetation map. However, this data product was produced based on a rapid, fully automated point cloud classification and was not manually edited. As such, it includes some ‘false positives’ – pixels with a canopy height in the raster that aren’t vegetation. These false positives include noise from water aboveground non-vegetation returns from bridge decks, powerlines, and edges of buildings.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Golden Gate National Parks Conservancy, Tukman Geospatial LLC</idCredit>
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