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Orthos/Orthos2011 (ImageServer)

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Service Description: This service is an image service created from a mosaic dataset that references TIFF imagery taken in 2011. Overviews were created in the mosaic dataset to make rendering at small scales optimal.

Name: Orthos/Orthos2011

Description: This service is an image service created from a mosaic dataset that references TIFF imagery taken in 2011. Overviews were created in the mosaic dataset to make rendering at small scales optimal.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.5

Pixel Size Y: 0.5

Band Count: 4

Pixel Type: U8

RasterFunction Infos: N/A

Mensuration Capabilities: Basic

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: 6, 9, 7, 0

Max Values: 254, 248, 250, 255

Mean Values: 127.26587793722973, 125.96612138034213, 97.9270108116739, 115.41816002502236

Standard Deviation Values: 34.17128284676937, 31.425115116558192, 31.15946249466966, 37.161393740938756

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: 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   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics