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ImageServices/Ky_NKY_USGS_2009_1FT (ImageServer)

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Service Description: This Dynamic Image Service provides access to 1 Foot Imagery of the Northern Kentucky Area during the leaf-on season of 2009. The imagery was acquired by USGS and provided to DGI for use and distribution.

Name: ImageServices/Ky_NKY_USGS_2009_1FT

Description: This Dynamic Image Service provides access to 1 Foot Imagery of the Northern Kentucky Area during the leaf-on season of 2009. The imagery was acquired by USGS and provided to DGI for use and distribution.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.9842499999999987

Pixel Size Y: 0.9842500000000004

Band Count: 3

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: USGS, DGI

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 0, 0, 0

Max Values: 255, 255, 255

Mean Values: 104.03546285385329, 117.97983706170378, 105.73773072721114

Standard Deviation Values: 44.28794168085899, 40.67109373264599, 37.696216423822506

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: 10000

Max Image Width: 10000

Max Download Image Count: 400

Max Mosaic Image Count: 400

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   Get Samples   Compute Class Statistics