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Service Description: Date of Image: 3/16/2019; 3/18/2019; 3/19/2019; 3/25/2019 Date of Next Image: Unknown Purpose/Summary: Using data collected from the European Space Agency's (ESA) Sentinel-1A satellite, scientists at NASA's Marshall Space Flight Center (MSFC) are able to create maps of the extent of water in the aftermath of the flooding in the Midwest United States. The synthetic aperture radar (SAR) aboard Sentinel-1A allows for the detection of water on the surface when clouds are present as well as during the night time hours. Suggested Usage: This product shows three areas: known reference water (blue), anomalous water identified outside the known reference water areas (red), and water detected in known wetlands or barren land (tan). This product can be used to perform a change analysis due to the hurricane. Note: Because these images were acquired during winter, there is a chance that the ground could be covered with snow. If large areas of blue appear over areas of land and now near a water source, there is a chance that snow is present.Satellite/Sensor: Synthetic Aperture Radar (SAR) on European Space Agency's (ESA) Copernicus Sentinel-1A satellite; 30 m resolution Credits: This product contains modified Copernicus Sentinel data (2019), processed by ESA; NASA/MSFC

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• 3/16/2019 at 00:29:44 UTC (S1A) (0)
• 3/18/2019 at 001353 UTC (S1A) (1)
• 3/19/2019 at 23:57:30 UTC (S1A) (2)
• 3/25/2019 at 00:05:27 UTC (S1A) (3)

Description:

Service Item Id: 5027e1e1b7d141d19a910f303ed68685

Copyright Text: NASA Disasters/MSFC/ASF, ESA Copernicus

Spatial Reference: 4326  (4326)


Single Fused Map Cache: false

Initial Extent:

XMin: -97.8287359384914
YMin: 35.46659209932433
XMax: -77.44151404053756
YMax: 44.07072309640664
Spatial Reference: 4326  (4326)

Full Extent:

XMin: -100.17414515935972
YMin: 29.4429979287506
XMax: -86.91346908450481
YMax: 44.68041761639722
Spatial Reference: 4326  (4326)

Units: esriDecimalDegrees

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Title: Water extent map produced using Copernicus Sentinel-1
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Date of Image: </SPAN></P><P><SPAN>3/16/2019; 3/18/2019; 3/19/2019 </SPAN></P><P><SPAN STYLE="font-weight:bold;">Date of Next Image: </SPAN></P><P><SPAN>Unknown </SPAN></P><P><SPAN STYLE="font-weight:bold;">Purpose/Summary: </SPAN></P><P><SPAN>Using data collected from the European Space Agency's (ESA) Sentinel-1A satellite, scientists at NASA's Marshall Space Flight Center (MSFC) are able to create maps of the extent of water in the aftermath of the flooding in the Midwest United States. The synthetic aperture radar (SAR) aboard Sentinel-1A allows for the detection of water on the surface when clouds are present as well as during the night time hours. </SPAN></P><P><SPAN STYLE="font-weight:bold;">Suggested Usage: </SPAN></P><P><SPAN>This product shows three areas: known reference water (blue), anomalous water identified outside the known reference water areas (red), and water detected in known wetlands or barren land (tan). This product can be used to perform a change analysis due to the hurricane. </SPAN></P><P><SPAN>Note: Because these images were acquired during winter, there is a chance that the ground could be covered with snow. If large areas of blue appear over areas of land and now near a water source, there is a chance that snow is present.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Satellite/Sensor: </SPAN></P><P><SPAN>Synthetic Aperture Radar (SAR) on European Space Agency's (ESA) Copernicus Sentinel-1A satellite; 30 m resolution </SPAN></P><P><SPAN STYLE="font-weight:bold;">Credits: </SPAN></P><P><SPAN>This product contains modified Copernicus Sentinel data (2019), processed by ESA; NASA/MSFC</SPAN></P></DIV></DIV></DIV>
Subject: Water extent map produced using Copernicus Sentinel-1 for the flooding in the Midwest United States March 2019
Category:
Keywords: NASA Disasters Program,Midwest,Flood,Flooding,SAR,Sentinel-1,ESA,Copernicus
AntialiasingMode: None
TextAntialiasingMode: Force

Supports Dynamic Layers: true

MaxRecordCount: 1000

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Supported Query Formats: JSON, geoJSON

Supports Query Data Elements:

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Max Scale: 0

Supports Datum Transformation: true



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