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Service Description: Date of Images:
4/10/2020 Date of Next Image: Unknown Summary:
The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology in Pasadena, California, in collaboration with the Earth Observatory of Singapore (EOS), created this Damage Proxy Map (DPM) depicting areas that are likely damaged caused by Cyclone Harold. The map was derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team compared the post-event image acquired on April 10, 2020 with pre-event images taken since March 2020. Analysed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL and Caltech. Data processing used an AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region (https://registry.opendata.aws/sentinel1-slc-seasia-pds). The color variation from yellow to red indicates increasingly more significant surface change.
This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. For example, the scattered colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. This map is most sensitive to building damage, but small scale change or partial structural damage may not be detected by this map.
Suggested Use:
This damage proxy map shows surface change with yellow to red indiciating more significant change or building damage due to the cyclone. The damage proxy map should be used as guidance to identify damaged areas and may be less reliable over vegetated areas. The lack of colored pixels over vegeated areas does not necessarily mean no damage. Small scale change or partial structural damage may not be detected by this map.
Satellite/Sensor:
Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)
Resolution:
30 meters
Credits:
The image contains modified Copernicus Sentinel data (2020), analyzed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL/Caltech ARIA team. Data processing used an AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region (https://registry.opendata.aws/sentinel1-slc-seasia-pds).
ESRI REST Endpoint:
See URL section on right side of the page
WMS Endpoint:
Name: cyclone_harold_2020/aria_dpm_fiji_kadavu_20200410
Description: Date of Images:
4/10/2020 Date of Next Image: Unknown Summary:
The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology in Pasadena, California, in collaboration with the Earth Observatory of Singapore (EOS), created this Damage Proxy Map (DPM) depicting areas that are likely damaged caused by Cyclone Harold. The map was derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team compared the post-event image acquired on April 10, 2020 with pre-event images taken since March 2020. Analysed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL and Caltech. Data processing used an AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region (https://registry.opendata.aws/sentinel1-slc-seasia-pds). The color variation from yellow to red indicates increasingly more significant surface change.
This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. For example, the scattered colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. This map is most sensitive to building damage, but small scale change or partial structural damage may not be detected by this map.
Suggested Use:
This damage proxy map shows surface change with yellow to red indiciating more significant change or building damage due to the cyclone. The damage proxy map should be used as guidance to identify damaged areas and may be less reliable over vegetated areas. The lack of colored pixels over vegeated areas does not necessarily mean no damage. Small scale change or partial structural damage may not be detected by this map.
Satellite/Sensor:
Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)
Resolution:
30 meters
Credits:
The image contains modified Copernicus Sentinel data (2020), analyzed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL/Caltech ARIA team. Data processing used an AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region (https://registry.opendata.aws/sentinel1-slc-seasia-pds).
ESRI REST Endpoint:
See URL section on right side of the page
WMS Endpoint:
Single Fused Map Cache: false
Extent:
XMin: 176.9696161
YMin: -19.167697246055685
XMax: 178.92950642805536
YMax: -17.5074699
Spatial Reference: 4326
(4326)
Initial Extent:
XMin: 176.9696161
YMin: -19.167697246055685
XMax: 178.92950642805536
YMax: -17.5074699
Spatial Reference: 4326
(4326)
Full Extent:
XMin: 176.9696161
YMin: -19.167697246055685
XMax: 178.92950642805536
YMax: -17.5074699
Spatial Reference: 4326
(4326)
Pixel Size X: 1.3886143744192757E-4
Pixel Size Y: 1.3886143744192743E-4
Band Count: 4
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "RGB Composite",
"description": "A raster function template.",
"help": ""
},
{
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"help": ""
}
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Mensuration Capabilities: Basic
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: ARIA-SG, Earth Observatory of Singapore, NASA-JPL/Caltech ARIA team, ESA
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: N/A
Max Values: N/A
Mean Values: N/A
Standard Deviation Values: N/A
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:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
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