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snippet: A high resolution LiDAR derived hillshade facilitates the visualization of the topography of a landscape at a variety of scales. This layer may be used on its own or in conjunction with other data. This hillshade which was created from a LiDAR derived highest hit digital elevation model shows the signal returns that were the highest above the ground in a given location. This provides the viewer a hillshade display of the tree canopy or structures at the time of data capture. The Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) and the University of Maryland (under grant NNX13AP69G from NASA’s Carbon Monitoring System, Dr. Ralph Dubayah, PI) contracted LiDAR and orthophoto data collection for all of Sonoma County in late 2013. Also included in the data collection were two areas in Mendocino County - the Soda Spring Creek-Dry Creek Watershed and Lake Mendocino. This fine scale data will help provide an accurate, up-to-date inventory of the county’s landscape features, ecological communities and habitats. Project funders include: NASA, the University of Maryland, the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.
summary: A high resolution LiDAR derived hillshade facilitates the visualization of the topography of a landscape at a variety of scales. This layer may be used on its own or in conjunction with other data. This hillshade which was created from a LiDAR derived highest hit digital elevation model shows the signal returns that were the highest above the ground in a given location. This provides the viewer a hillshade display of the tree canopy or structures at the time of data capture. The Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) and the University of Maryland (under grant NNX13AP69G from NASA’s Carbon Monitoring System, Dr. Ralph Dubayah, PI) contracted LiDAR and orthophoto data collection for all of Sonoma County in late 2013. Also included in the data collection were two areas in Mendocino County - the Soda Spring Creek-Dry Creek Watershed and Lake Mendocino. This fine scale data will help provide an accurate, up-to-date inventory of the county’s landscape features, ecological communities and habitats. Project funders include: NASA, the University of Maryland, the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.
accessInformation: Sonoma County Vegetation Mapping and LiDAR Consortium, NASA, University of Maryland, Watershed Sciences, Inc., Tukman Geospatial LLC
thumbnail:
typeKeywords: ["Data","Service","Image Service","ArcGIS Server"]
description: <div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>Hillshade of the highest hit digital elevation model using the Sonoma Veg Map LiDAR data. The Mosaic Reproject function was used to reproject the raster mosaic to Web Mercator. The Mosaic hillshade function was applied to generate this hillshade. The default values were used except for the Z value. A value of .4 was used for the Z value. The raster cache was generated from the prevous item.</span></p><p style='margin:0 0 11 0;'><span>The DEM used to create this hillshade is described as a Highest Hit or First Return digital elevation model (DEM) represents the earth’s surface with the base or bare-earth DEM values subtracted from the first returns, with the resulting raster being the height of any vegetation, structure, or the ground for those areas lacking in vegetation or structures for the subject area. Values are in feet. Each cell in the GRID is three feet and has a value that represents an average vegetation height at that location. The purpose of the data is to provide users with a very accurate view of the vegetation height in the subject area for the date of data capture.</span></p></div></div></div>
licenseInfo: <div style='text-align:Left;'><div><div><p><span>Data were provided by the University of Maryland and the Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) under grant NNX13AP69G from NASA’s Carbon Monitoring System (Dr. Ralph Dubayah, PI).</span></p><p><span>You are free to: Share - copy and redistribute the data in any medium or format. Adapt - You may make derivative works, transform, and build upon the data for any purpose, even commercial. The licensor cannot revoke these freedoms as long as you follow the license terms.</span></p><p><span>License terms: Attribution - You must give appropriate credit (if supplied, you must provide the name of the creator and attribution parties, a copyright notice, a license notice, a disclaimer notice and a link to the material) and indicate if any changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you, your organization, or your use of the data. ShareAlike - if you modify, transform, or build on the data, you must distribute your contributions under the same license as the original.</span></p><p><span>No additional Restrictions - You may not apply legal terms or technological measures that legally restrict others form doing anything the license permits.</span></p><p><span>Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation. No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the data.</span></p><p><span>EXCEPT TO THE EXTENT REQUIRED BY APPLICABLE LAW, IN NO EVENT WILL LICENSOR BE LIABLE TO YOU ON ANY LEGAL THEORY FOR ANY SPECIAL, INCIDENTAL, CONSEQUENTIAL, PUNITIVE OR EXEMPLARY DAMAGES ARISING OUT OF THIS LICENSE OR THE USE OF THE DATA, EVEN IF LICENSOR HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.</span></p><p><span>The above is an easily understandable summary of and not a substitute for the license and disclaimer for the Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US) the full text is available at creativecommons.org.</span></p><p><span>https://creativecommons.org/licenses/by-sa/3.0/us/legalcode</span></p></div></div></div>
catalogPath:
title: Lidar_Highest_Hit_HS_2013_WM
type: Image Service
url: https://s-wgispubimg1.win.root.sonoma.gov:6443/arcgis/admin
tags: ["LiDAR","Light Detection And Ranging","Sonoma County","Lake Mendocino","Sonoma Lake Watershed","Elevation","Canopy Height","Highest Hit","First Return."]
culture: en-US
name: Lidar_Highest_Hit_HS_2013_WM
guid:
spatialReference: