ArcGIS REST Services Directory Login | Get Token
JSON | SOAP

Imagery/2014_2015 (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online map viewer   Google Earth   ArcMap

View Footprint In:   ArcGIS Online map viewer

Service Description: State of Indiana Orthophotography for various counties in 2014 and 2015

Name: Imagery/2014_2015

Description: State of Indiana Orthophotography for various counties in 2014 and 2015

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.07620015240030481

Pixel Size Y: 0.07620015240030482

Band Count: 4

Pixel Type: U8

RasterFunction Infos: {"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:

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 5, 19, 7, 3

Max Values: 206, 202, 206, 184

Mean Values: 114.33613017463973, 109.2869790641953, 80.86181675095763, 125.00618005485678

Standard Deviation Values: 14.117695415119444, 12.583308840197544, 12.444463156000406, 16.04957350845032

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: 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