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Date of Images:
3/29/2020 and 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 images acquired on March 29, 2020 and April 10, 2020 with pre-event images taken since September 2019. 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
Date of Images:
3/29/2020 and 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 images acquired on March 29, 2020 and April 10, 2020 with pre-event images taken since September 2019. 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