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uruguay_floods_201906/sentinel1_ariafpm_20190618 (ImageServer)

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Service Description: Date of Image:6/18/2019Date of Next Image:UnknownSummary:The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created these Flood Proxy Maps depicting areas of Uruguay that are likely flooded as a result of heavy rain, shown by light blue pixels. The maps were derived from synthetic aperture radar (SAR) data acquired on June 18, 2019 by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA). Suggested Usage:Potentially flooding is shown by blue pixels.This flood proxy map should be used as guidance to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. Satellite/Sensor:Synthetic Aperture Radar (SAR) on European Space Agency's (ESA) Copernicus Sentinel-1A satelliteResolution: 30 metersCredits:Contains modified Copernicus Sentinel data (2019) analyzed by the NASA-JPL/Caltech ARIA team. This task was carried out at JPL funded by NASA Disasters Program.

Name: uruguay_floods_201906/sentinel1_ariafpm_20190618

Description: Date of Image:6/18/2019Date of Next Image:UnknownSummary:The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created these Flood Proxy Maps depicting areas of Uruguay that are likely flooded as a result of heavy rain, shown by light blue pixels. The maps were derived from synthetic aperture radar (SAR) data acquired on June 18, 2019 by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA). Suggested Usage:Potentially flooding is shown by blue pixels.This flood proxy map should be used as guidance to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. Satellite/Sensor:Synthetic Aperture Radar (SAR) on European Space Agency's (ESA) Copernicus Sentinel-1A satelliteResolution: 30 metersCredits:Contains modified Copernicus Sentinel data (2019) analyzed by the NASA-JPL/Caltech ARIA team. This task was carried out at JPL funded by NASA Disasters Program.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 2.7767744427866235E-4

Pixel Size Y: 2.776774442786625E-4

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "aria_fpm_band4", "description": "A raster function template.", "help": "" }, { "name": "None", "description": "", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Contains modified Copernicus Sentinel data (2019) analyzed by the NASA-JPL/Caltech ARIA team. This task was carried out at JPL funded by NASA Disasters Program.

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 255

Max Values: 255

Mean Values: 255

Standard Deviation Values: 0

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

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: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Raster Attribute Table   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

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