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Elevation/IL_Montgomery_DTM_2017 (ImageServer)

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Service Description:

This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2017. The LiDAR derived DTM covers Montgomery County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This dataset is 2.0 ppsm LiDAR point cloud data and derivative models of Montgomery County, Illinois. Greene County is approximately 547 square miles in eastern Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.71 meter. Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.2.

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.



Name: Elevation/IL_Montgomery_DTM_2017

Description:

This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2017. The LiDAR derived DTM covers Montgomery County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This dataset is 2.0 ppsm LiDAR point cloud data and derivative models of Montgomery County, Illinois. Greene County is approximately 547 square miles in eastern Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.71 meter. Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.2.

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.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 2.0

Pixel Size Y: 2.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"name":"None","description":"","help":""}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Created by Merrick and Company through Contract with the University of Illinois, Illinois State Geological Survey and the Prairie Research Institute

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 504.3307800292969

Max Values: 780.712646484375

Mean Values: 638.1401775547419

Standard Deviation Values: 31.919520441681694

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bicubic

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics