20251009
14054400
1.0
FALSE
Lidar_Vegetation_Height_2022
6118513.000000
6463975.000000
1800802.000000
2077507.000000
1
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_II_FIPS_0402_Feet_2011
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet_2011",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.66666667],PARAMETER["False_Northing",1640416.66666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.3333333333333],PARAMETER["Standard_Parallel_2",39.8333333333333],PARAMETER["Latitude_Of_Origin",37.6666666666667],UNIT["Foot_US",0.3048006096012192]]</WKT><XOrigin>-115211800</XOrigin><YOrigin>-93821500</YOrigin><XYScale>36983428.057351544</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
32
FALSE
None
1
AMD
TRUE
continuous
floating point
4100
15000
1000
20
2048
20
75
0.01
10
600
300
Basic
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
Basic
None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D
-1
-1
0.8
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None,Basic,Full
NONE
<_docversion_ Sync="TRUE">10
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area
960
3
96
20251205
07294200
20251205
07294200
150000000
5000
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
c1a8c024f48d4ae4bbf9ce1e76f5c84e
20251205
https://socogis.sonomacounty.ca.gov/image2/rest/services/Rasters/Lidar_Intensity_Vegetation_Height_2022/ImageServer
Image Service
<div style='text-align:Left;'><div><div><p><span>The Digital Surface Model (DSM) represents the orthometric elevations of all above ground features detected by the lidar returns. It is created using the max elevation detected for each pixel at the desired resolution.</span></p><p><span>Projected Coordinate System: State Plane NAD 1983 (2011), CA Zone II, US Survey Feet</span></p><p><span>Horizontal Datum: NAD 1983 2011</span></p><p><span>Vertical Coordinate System: NAVD88 (Geoid 18)</span></p><p><span>Pixel size = 3-ft</span></p><p><a href='https://storymaps.arcgis.com/stories/183976156b3940bc93167e7461fdc673' target='_blank' style='text-decoration:underline;'><span>LiDAR Derivatives for 14 California Counties</span></a></p><p><a href='https://tukmangeospatial.egnyte.com/dl/ADWSBBL7ac' target='_blank' style='text-decoration:underline;'><span>https://tukmangeospatial.egnyte.com/dl/ADWSBBL7ac</span></a></p><p><a href='https://tukmangeospatial.egnyte.com/dl/ADWSBBL7ac' target='_blank' style='text-decoration:underline;'><span>LiDAR Derivatives Datasheet Sonoma</span></a></p></div></div></div>
Lidar_Vegetation_Height_2022
2025-08-08T12:46:17
2025-08-08T12:46:18
-123.60
-122.20
38.90
38.00
1
LiDAR
Light Detection And Ranging
Sonoma County
canopy
CHM
vegetation
height
The Vegetation/Canopy Height Model (CHM) represents the maximum height above ground in feet considering default (class 1), ground (class 2), and vegetation (class 5) returns. Values below 0.25 meters above ground have been set to 0. For this version of the CHM, the 2022 Bare Earth CHM was reprojected from UTM Zone 10 (with height pixel values in meters) to CA State Plane II (with pixel values in feet). The data were also resampled from a 1-meter cell size to a 3-feet cell size using the bilinear interpolation method to align with the 2013 CHM. Note that the vertical coordinate system of the 2022 CHM is DIFFERENT than the vertical coordinate system of the 2013 data. These lidar-derived data products are provided to Sonoma County as part of a larger 10-county effort to acquire lidar and prepare derivative products. Dates of collection vary by county and the best available (most recent and highest quality) point cloud data was used for any given area. The various point clouds were harmonized into a single, unified point cloud for the counties. From the unified point cloud, 36 raster lidar derivatives were created for each county. See the datasheet ( https://tukmangeospatial.egnyte.com/dl/ADWSBBL7ac ) for information on collection dates and to access the original DTM (in UTM Zone 10N, meters), lidar point cloud, and other derivative products.
Funders: California Natural Resources Agency, State Coastal Conservancy, NASA, USGS, Sonoma Water, University of California, San Diego, Sonoma Ag + Open Space, Humboldt Bay Municipal Water District
Grantees & Coordinating Organizations: North Coast Resource Partnership, Solano County
Technical Team: NV5 Geospatial and Tukman Geospatial
Esri ArcGIS 13.5.3.57366
1
-123.556321
-122.339487
38.866332
38.096731
2
1
0
6118513.000000 1800802.000000
6118513.000000 2077507.000000
6463975.000000 2077507.000000
6463975.000000 1800802.000000
6291244.000000 1939154.500000
115154
3.000000
92235
3.000000
EPSG
Band_1
319.267910
0.624790
32