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Image/NAIP2016_CIR (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcMap

View Footprint In:   ArcGIS Online Map Viewer

Service Description: 2016 USDA 60 cm NAIP - Bands 4,1,2 (Color Infrared) generated from raw 4-band tiffs and mosaicked into a statewide image.

Name: Image/NAIP2016_CIR

Description: 2016 USDA 60 cm NAIP - Bands 4,1,2 (Color Infrared) generated from raw 4-band tiffs and mosaicked into a statewide image.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 5.457044306512102E-6

Pixel Size Y: 5.4570443065121034E-6

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: USDA, MARIS

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 0, 0, 0

Max Values: 253, 255, 255

Mean Values: 132.93532927751565, 84.57001869033519, 97.70363095305025

Standard Deviation Values: 28.784449004241104, 32.52117886179759, 27.68743538403184

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Seamline

Allowed Mosaic Methods: Seamline,NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,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   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location