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ImageServices/Ky_NAIP_2016_2FT (ImageServer)

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Service Description: This Dynamic Image Service provides access to natural color ortho imagery acquired by the USDA/NAIP Program in 2016 for all of Kentucky. This service is in Ky Single Zone (FIPS 1600) and has been resampled to 2 ft.

Name: ImageServices/Ky_NAIP_2016_2FT

Description: This Dynamic Image Service provides access to natural color ortho imagery acquired by the USDA/NAIP Program in 2016 for all of Kentucky. This service is in Ky Single Zone (FIPS 1600) and has been resampled to 2 ft.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 2.0

Pixel Size Y: 2.0

Band Count: 4

Pixel Type: U8

RasterFunction Infos: N/A

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: USDA, DGI

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 17, 56, 37, 0

Max Values: 248, 244, 246, 252

Mean Values: 114.67922589831984, 135.66107597329895, 108.6430274960297, 166.84150541085418

Standard Deviation Values: 33.47477391197792, 21.077911771259146, 19.35190793101989, 28.09288715543683

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: 20000

Max Image Width: 20000

Max Download Image Count: 100

Max Mosaic Image Count: 100

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   Compute Histograms   Get Samples   Compute Class Statistics