<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 14 0;"><SPAN STYLE="font-weight:bold;font-size:12pt">Methods:</SPAN><SPAN STYLE="font-size:12pt"> </SPAN><SPAN /><SPAN><SPAN /></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>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:</SPAN></SPAN></P><UL><LI><P><SPAN>Create Tiles (lastile)</SPAN></P></LI><LI><P><SPAN>Height Normalize the Point Cloud (lasheight)</SPAN></P></LI><LI><P><SPAN>Classify Buildings (lasclassify)</SPAN></P></LI><LI><P><SPAN>Clamp Building to 0 Ft. Normalized Height (las2las)</SPAN></P></LI><LI><P><SPAN>Thin the Point Cloud (lasthin)</SPAN></P></LI><LI><P><SPAN>Convert the Point Cloud to a DEM (las2dem) </SPAN></P></LI></UL><P STYLE="margin:0 0 14 0;"><SPAN STYLE="font-weight:bold;font-size:12pt">Uses and Limitations:</SPAN><SPAN /></P><P STYLE="margin:0 0 14 0;"><SPAN>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.</SPAN></P></DIV></DIV></DIV>
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 14 0;"><SPAN STYLE="font-weight:bold;font-size:12pt">Methods:</SPAN><SPAN STYLE="font-size:12pt"> </SPAN><SPAN /><SPAN><SPAN /></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>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:</SPAN></SPAN></P><UL><LI><P><SPAN>Create Tiles (lastile)</SPAN></P></LI><LI><P><SPAN>Height Normalize the Point Cloud (lasheight)</SPAN></P></LI><LI><P><SPAN>Classify Buildings (lasclassify)</SPAN></P></LI><LI><P><SPAN>Clamp Building to 0 Ft. Normalized Height (las2las)</SPAN></P></LI><LI><P><SPAN>Thin the Point Cloud (lasthin)</SPAN></P></LI><LI><P><SPAN>Convert the Point Cloud to a DEM (las2dem) </SPAN></P></LI></UL><P STYLE="margin:0 0 14 0;"><SPAN STYLE="font-weight:bold;font-size:12pt">Uses and Limitations:</SPAN><SPAN /></P><P STYLE="margin:0 0 14 0;"><SPAN>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.</SPAN></P></DIV></DIV></DIV>
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