sedac/sdei_viirs_dmsp_dlight (ImageServer)

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Service Description: The VIIRS Plus DMSP Change in Lights (VIIRS+DMSP dLIGHT) data set fuses nighttime lights imagery from the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) with a stable night light composite from the next generation Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Suite (VIIRS) Day-Night Band, in order to map the spatial distribution and temporal evolution of global nighttime lights between 1992 and 2015. The product visualizes changes in both brightness and extent of nocturnal low lights over two decades while minimizing the spatial overextent (overglow) and bright saturation that compromise the DMSP-OLS composites. The map product utilizes annual DMSP-OLS stable lights composites, produced by the NOAA National Geophysical Data Center (NGDC), in a tri-temporal global change map. To achieve greater spatial resolution and radiometric accuracy, the DMSP-OLS composites are co-registered and fused with the 2015 VIIRS annual composite produced by NGDC. The final product therefore retains the spatial detail and dynamic range of the VIIRS product, and the decadal change information from DMSP-OLS images.

Name: sedac/sdei_viirs_dmsp_dlight

Description: The VIIRS Plus DMSP Change in Lights (VIIRS+DMSP dLIGHT) data set fuses nighttime lights imagery from the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) with a stable night light composite from the next generation Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Suite (VIIRS) Day-Night Band, in order to map the spatial distribution and temporal evolution of global nighttime lights between 1992 and 2015. The product visualizes changes in both brightness and extent of nocturnal low lights over two decades while minimizing the spatial overextent (overglow) and bright saturation that compromise the DMSP-OLS composites. The map product utilizes annual DMSP-OLS stable lights composites, produced by the NOAA National Geophysical Data Center (NGDC), in a tri-temporal global change map. To achieve greater spatial resolution and radiometric accuracy, the DMSP-OLS composites are co-registered and fused with the 2015 VIIRS annual composite produced by NGDC. The final product therefore retains the spatial detail and dynamic range of the VIIRS product, and the decadal change information from DMSP-OLS images.

Single Fused Map Cache: true

Tile Info:

Height: 256
Width: 256
DPI: 96
Levels of Detail: 20
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Format: MIXED
Compression Quality: 75.0
LERC Error: NaN
Origin: X: -2.0037508342787E7
Y: 2.0037508342787E7
Spatial Reference: 102100 (3857)

Extent:

Initial Extent:

Full Extent:

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Pixel Size Y: 463.8315827036089

Band Count: 3

Pixel Type: U16

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Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 5.91657527591555E8

Max Scale: 288895.277144

Copyright Text: Chris Small, Center for International Earth Science Information Network

Service Data Type: esriImageServiceDataTypeGeneric

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Max Values: 238, 255, 255

Mean Values: 2.3767898690805427, 2.2230738288439453, 1.8927366331361626

Standard Deviation Values: 14.862739588334536, 15.423544250429579, 15.211374258627124

Object ID Field: OBJECTID

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Default Mosaic Method: Northwest

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

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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 Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics