| snippet:
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ARIA Damage Proxy Map (Copernicus Sentinel-1) on 9/1/2020 for Hurricane Laura 2020 |
| summary:
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ARIA Damage Proxy Map (Copernicus Sentinel-1) on 9/1/2020 for Hurricane Laura 2020 |
| accessInformation:
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ARIA-SG, Earth Observatory of Singapore, NASA-JPL/Caltech ARIA team, ESA |
| thumbnail:
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thumbnail/thumbnail.png |
| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"] |
| description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Date of Image:</SPAN></P><P><SPAN>9/1/2020</SPAN></P><P><SPAN STYLE="font-weight:bold;">Date of Next Image: </SPAN></P><P><SPAN>None Expected</SPAN></P><P><SPAN STYLE="font-weight:bold;">Summary:</SPAN></P><P><SPAN>This preliminary map shows areas which are likely damaged in Louisiana and parts of Texas, USA due to Hurricane Laura which made landfall on 27 Aug 2020. Damage is shown by coloured pixels of 30 m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. It is validated using aerial imagery from NOAA. The map 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.</SPAN></P><P><SPAN>Derived from synthetic aperture radar data acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (20 Aug) and after (1 Sep) the event. Analysed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL and Caltech. </SPAN></P><P><SPAN STYLE="font-weight:bold;">Suggested Use:</SPAN></P><P><SPAN>This damage proxy map shows surface change with yellow to red indicating more significant change or building damage due to the hurricane. 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 vegetated areas does not necessarily mean no damage. Small scale change or partial structural damage may not be detected by this map.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Satellite/Sensor:</SPAN></P><P><SPAN>Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)</SPAN></P><P><SPAN STYLE="font-weight:bold;">Resolution:</SPAN></P><P><SPAN>30 meters</SPAN></P><P><SPAN STYLE="font-weight:bold;">Credits:</SPAN></P><P><SPAN>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.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Esri REST Endpoint:</SPAN></P><P><SPAN>See URL Section on right side of page</SPAN></P><P><SPAN STYLE="font-weight:bold;">WMS Endoint:</SPAN></P></DIV></DIV></DIV> |
| licenseInfo:
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<DIV STYLE="text-align:Left;"><DIV><P><SPAN>NASA data and products are freely available to federal, state, public, non-profit and commercial users. This information can be experimental- or research-grade data products and may not be appropriate for operational use. These NASA data products, services, and the Disasters Mapping Portal are intended to aid decision makers and enhance situational awareness, but these data are not guaranteed to be consistently available or routinely updated. Use of this product should include: "Contains modified Copernicus Sentinel data (2020) processed by ESA"</SPAN></P></DIV></DIV> |
| catalogPath:
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|
| title:
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EOS_ARIA-SG_20200901_DPM_Louisiana_Hurricane_Laura_v0.4_TIFF.tif |
| type:
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Image Service |
| url:
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https://maps.disasters.nasa.gov/ags04/admin/hurricane_laura_2020/aria_dpm_sentinel1_20200901/ImageServer |
| tags:
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["NASA","NASA Disasters Program","Tropcial Cyclone","Hurricane","Laura","Hurricane Laura","Louisiana","ARIA","ARIA-SG","Earth Observatory of Singapore","ESA","Copernicus","Sentinel-1","SAR"] |
| culture:
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en-US |
| name:
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aria_dpm_sentinel1_20200901 |
| guid:
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|
| spatialReference:
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GCS_WGS_1984 |