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OSIP-Landsat_Mosaic_1980_3000cm/20140807 (ImageServer)

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Service Description:

The 1980 30m Landsat Mosaic is used in the Government of Alberta Oil Sands Information Portal (OSIP) to assist in depicting land disturbance and reclamation over time.



Name: OSIP-Landsat_Mosaic_1980_3000cm/20140807

Description:

The 1980 30m Landsat Mosaic is used in the Government of Alberta Oil Sands Information Portal (OSIP) to assist in depicting land disturbance and reclamation over time.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 30.0

Pixel Size Y: 30.0

Band Count: 3

Pixel Type: U8

RasterFunction Infos: N/A

Mensuration Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Imagery: U.S. Geological Survey / Image Service: Informatics Branch, Environment and Sustainable Resource Development, Government of Alberta.

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 1, 1, 18

Max Values: 254, 254, 251

Mean Values: 115.26425071320692, 164.025252686985, 77.69676486633934

Standard Deviation Values: 48.96137724339191, 47.97067729257497, 56.99861336020458

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Center

Allowed Mosaic Methods: Center,NorthWest,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: 0

Max Mosaic Image Count: 25

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