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Imagery/elevation (ImageServer)

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View Footprint In:   ArcGIS Online map viewer

Service Description: The source of these elevation images are from the NED and various other sources including OSMRE derived datasets from stereo airborne and satellite imagery and in a few cases aireal Lidar.

Name: Imagery/elevation

Description: The source of these elevation images are from the NED and various other sources including OSMRE derived datasets from stereo airborne and satellite imagery and in a few cases aireal Lidar.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.9999999789998345

Pixel Size Y: 0.9999999789998346

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"name":"None","description":"A No-Op Function.","help":""}

Mensuration Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: OSMRE Western Region, Denver, CO

Service Data Type: esriImageServiceDataTypeElevation

Min Values: 0.03455999866127968

Max Values: 3888.750244140625

Mean Values: 1425.1607450509864

Standard Deviation Values: 838.3591495305932

Object ID Field: OBJECTID

Fields: Default Mosaic Method: ByAttribute

Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Viewpoint,None

SortField: LowPS

SortValue: 0

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

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   Query   Identify   Download Rasters   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics