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Raster/LOUDOUN_RELIEF (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcMap

View Footprint In:   ArcGIS Online Map Viewer

Service Description: Raster/LOUDOUN_RELIEF

Name: Raster/LOUDOUN_RELIEF

Description:

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 10.0

Pixel Size Y: 10.0

Band Count: 3

Pixel Type: U16

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" }]}

Mensuration Capabilities: NONE

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 12, 25, 0

Max Values: 255, 255, 255

Mean Values: 148.36838349524274, 168.63284064474132, 98.32632860541301

Standard Deviation Values: 30.884367098592232, 26.85221732995129, 26.86133443175091

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

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

SortField:

SortValue: null

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: 45

Allow Raster Function: true

Allow Copy: true

Allow Analysis: 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   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project