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ImageServices/Ky_Henderson_2009_1FT (ImageServer)

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Service Description: This Dynamic Image Service provides access to 1 foot imagery of the City of Henderson from the winter of 2009. This imagery was acquired so as to show damage from the 2009 Winter Ice Storm that impacted western Kentucky.

Name: ImageServices/Ky_Henderson_2009_1FT

Description: This Dynamic Image Service provides access to 1 foot imagery of the City of Henderson from the winter of 2009. This imagery was acquired so as to show damage from the 2009 Winter Ice Storm that impacted western Kentucky.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 1.001119071387469

Pixel Size Y: 1.0011190713874645

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: 150, 142, 143

Mean Values: 77.95243793791569, 73.20374097187394, 74.75948310341106

Standard Deviation Values: 28.805935621862996, 27.16570918367451, 27.406299410123893

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