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snippet: These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor.
summary: These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor.
accessInformation: Illinois Department of Natural Resources, Illinois State Geological Survey, Illinois Department of Transportation and Surdex Corp.
thumbnail:
typeKeywords: ["Data","Service","Image Service","ArcGIS Server"]
description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This Digital Surface Model (DSM) data was produced all or in part from LiDAR information as of 2015. The LiDAR derived DSM covers Bond County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This data set has a vertical accuracy of 6.24 centimeters RMSEz, horizontal accuracy of 0.6 meters and point spacing of 0.89 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
licenseInfo:
catalogPath:
title: IL_Bond_DSM_2015
type: Image Service
url: https://isgs-datagis1:6443/arcgis
tags: ["Light Detection and Ranging","LiDAR","Bare Earth","Point Cloud","Digital Elevation Model","DEM","Elevation","Surface Model","Digital Surface Model","DSM","Hillshade"]
culture: en-US
name: IL_Bond_DSM_2015
guid:
spatialReference: GRS_1980_Transverse_Mercator