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ImageServices/Ky_ImperviousAreas_2011_30M (ImageServer)

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View Footprint In:   ArcGIS Online map viewer

Service Description: This dynamic image service provides access to the Kentucky portion of the Percent Developed Imperviousness (or Impervious Surface) dataset of The National Land Cover Database 2011, in Kentucky Single Zone State Plane Coordinate System (FIPS 1600 – EPSG 3089).

Name: ImageServices/Ky_ImperviousAreas_2011_30M

Description: This dynamic image service provides access to the Kentucky portion of the Percent Developed Imperviousness (or Impervious Surface) dataset of The National Land Cover Database 2011, in Kentucky Single Zone State Plane Coordinate System (FIPS 1600 – EPSG 3089).

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 98.425

Pixel Size Y: 98.425

Band Count: 1

Pixel Type: S32

RasterFunction Infos: N/A

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: true

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: USGS, DGI

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 0

Max Values: 100

Mean Values: 1.5211427463034477

Standard Deviation Values: 8.23328330947913

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: null

Max Image Height: 80000

Max Image Width: 80000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Raster Attribute Table   Histograms   Key Properties   Color Map   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Get Samples   Compute Class Statistics