| snippet:
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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. |
| summary:
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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. |
| accessInformation:
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Golden Gate National Parks Conservancy, Tukman Geospatial LLC |
| thumbnail:
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thumbnail/thumbnail.png |
| maxScale:
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0 |
| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"] |
| description:
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<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> |
| licenseInfo:
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| catalogPath:
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| title:
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MARIN_2019_CHM_3FT |
| type:
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Image Service |
| url:
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https://gis.marinpublic.com/arcgis/services/LIDAR/MARIN_2019_CHM_3FT/ImageServer |
| tags:
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["Canopy Height Model","LiDAR","Marin"] |
| culture:
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en-US |
| name:
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MARIN_2019_CHM_3FT |
| guid:
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| minScale:
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0 |
| spatialReference:
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