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Imagery/ColoradoRiver_Imagery_2009 (ImageServer)

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View Footprint In:   ArcGIS Online Map Viewer

Service Description: The Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high-resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery was acquired between May 25 and June 2, 2009 at altitudes of 8,000 ft to 11,000 using Leica ADS50-II digital push-broom multi-spectral sensor. The imagery data consist of four bands (blue, green, red and near infrared) with a ground resolution of 20 centimeters (cm). Similarly, the image service contains 4-band data and may require the user to select the appropriate band combinations in order to view the data properly. Suggested band combinations include True-Color (or RGB) by assigning image bands 3, 2, 1 to the Red, Green, Blue color guns, respectively. Color infrared (CIR) can be viewed by changing the band combination to 4, 3, 2 as assigned to the Red, Green, Blue color guns, again respectively.

Name: Imagery/ColoradoRiver_Imagery_2009

Description: The Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high-resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery was acquired between May 25 and June 2, 2009 at altitudes of 8,000 ft to 11,000 using Leica ADS50-II digital push-broom multi-spectral sensor. The imagery data consist of four bands (blue, green, red and near infrared) with a ground resolution of 20 centimeters (cm). Similarly, the image service contains 4-band data and may require the user to select the appropriate band combinations in order to view the data properly. Suggested band combinations include True-Color (or RGB) by assigning image bands 3, 2, 1 to the Red, Green, Blue color guns, respectively. Color infrared (CIR) can be viewed by changing the band combination to 4, 3, 2 as assigned to the Red, Green, Blue color guns, again respectively.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.20002000033855438

Pixel Size Y: 0.20002000033855438

Band Count: 4

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "colorado-river-imagery-2009-RGB", "description": "Raster function template for displaying Colorado River Imagery 2009 (Image Service) as true-color, RGB values (Bands 3, 2, 1, respectively). ", "help": "This raster function template is specific for GCMRC's 2009 imagery to symbolize the raster data as a true-color composite (RGB Bands)." }, { "name": "None", "description": "", "help": "" } ]}

Mensuration Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: USGS, SBSC-GCMRC

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0, 0, 0, 0

Max Values: 255, 255, 255, 255

Mean Values: 94.47331623272758, 100.33060432981607, 105.33242063391293, 109.3932472564735

Standard Deviation Values: 71.16576083825073, 76.10453668293954, 82.06653585127688, 85.87522215969666

Object ID Field:

Fields: None

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: 10000

Max Image Height: 41000

Max Image Width: 150000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

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   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project