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LandsatGLS/ShortwaveInfrared (ImageServer)

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Service Description:

This Esri Landsat image service contains global Landsat imagery from 1990-2010 with 30 meter resolution. This 7 4 3 band combination is very useful for vegetation studies, where reflectance in the SWIR region is due primarily to moisture content in the leaf or soil. Thus, vigorous and irrigated vegetation, and riparian areas are displayed in bright green while dryland and natural areas are dull green. Coniferous forest appears as a deep rich green and deciduous forest is bright green. Soils appear as tan, brown and mauve. This band combination is suited for studying vegetation health and stress, change detection, disturbed soils, soil type, and camouflage detection.

Time Enabled: Yes. (Start Time Field: GLS_START90_10; End Time Field: GLS_END90_10)

Data Source: This image service was compiled from Global Land Survey (GLS) datasets: 1990, 2000, 2005 and 2010. GLS datasets are created by the United States Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) using Landsat images. These global minimal-cloud cover, orthorectified Landsat data products support global assessments of land-cover, land cover-change, and ecosystem dynamics such as disturbance and vegetation health.



Name: LandsatGLS/ShortwaveInfrared

Description:

This Esri Landsat image service contains global Landsat imagery from 1990-2010 with 30 meter resolution. This 7 4 3 band combination is very useful for vegetation studies, where reflectance in the SWIR region is due primarily to moisture content in the leaf or soil. Thus, vigorous and irrigated vegetation, and riparian areas are displayed in bright green while dryland and natural areas are dull green. Coniferous forest appears as a deep rich green and deciduous forest is bright green. Soils appear as tan, brown and mauve. This band combination is suited for studying vegetation health and stress, change detection, disturbed soils, soil type, and camouflage detection.

Time Enabled: Yes. (Start Time Field: GLS_START90_10; End Time Field: GLS_END90_10)

Data Source: This image service was compiled from Global Land Survey (GLS) datasets: 1990, 2000, 2005 and 2010. GLS datasets are created by the United States Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) using Landsat images. These global minimal-cloud cover, orthorectified Landsat data products support global assessments of land-cover, land cover-change, and ecosystem dynamics such as disturbance and vegetation health.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Time Info: Pixel Size X: 2.694945852358564E-4

Pixel Size Y: 2.694945852358564E-4

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"name":"DRA","description":"DRA, Dynamic Range Adjustment, is a contrast stretch that only stretches the pixel values within the display extent - does not use all the pixel values in the raster dataset.","help":""}

Mensuration Capabilities: Basic,Base-Top Shadow Height

Has Histograms: false

Has Colormap: false

Min Scale: 0

Max Scale: 0

Copyright Text: United States Geological Survey (USGS), National Aeronautics and Space Administration (NASA), Esri Inc.

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 0, 0, 0

Max Values: 255, 255, 255

Mean Values: 0, 0, 0

Standard Deviation Values: -1, -1, -1

Object ID Field: OBJECTID

Fields: Raster Attribute Table: false

Default Mosaic Method: ByAttribute

Allowed Mosaic Methods: ByAttribute,NorthWest,Center,LockRaster,Nadir,Viewpoint,Seamline,None

SortField: GLS_END_DATE

SortValue: 3000/12/15

Mosaic Operator: First

Default Compression Quality: 80

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

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Key Properties

Supported Operations:   Export Image   Query   Identify   Measure