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Service Description: Date of Images:
6/21/2022, 6/22/2022
Date of Next Image:
Unknown
Summary:
6/21/2022 (Copernicus Sentinel-1)
The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Assam, India due to heavy rains. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (9 Jun 2022) and during (21 Jun 2022) the event.
6/22/2022 (JAXA ALOS-2)
The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Assam, India due to heavy rains. This map was derived from synthetic aperture radar (SAR) images acquired by the ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA) before (11 May 2022) and during (22 Jun 2022) the event.
Suggested Use:
Blue pixels indicate areas that are likely flooded.
This flood proxy map should be used as a guide to identify areas that are likely flooded, and is less reliable over urban and vegetated areas.
Satellite/Sensor:
Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2
Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)
Resolution:
JAXA ALOS-2: 25 meters
Copernicus Sentinel-1: 30 meters
Credits:
The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS.
Data were provided by Sentinel Asia and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS).
Esri REST Endpoint:
See URL Section on right side of page
WMS Endpoint:
Data Download:
https://eos-rs-products.earthobservatory.sg/EOS-RS_202206_India_Floods/
Map Name: eos_rs_fpm
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Description: Date of Images:
6/21/2022, 6/22/2022
Date of Next Image:
Unknown
Summary:
6/21/2022 (Copernicus Sentinel-1)
The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Assam, India due to heavy rains. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (9 Jun 2022) and during (21 Jun 2022) the event.
6/22/2022 (JAXA ALOS-2)
The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Assam, India due to heavy rains. This map was derived from synthetic aperture radar (SAR) images acquired by the ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA) before (11 May 2022) and during (22 Jun 2022) the event.
Suggested Use:
Blue pixels indicate areas that are likely flooded.
This flood proxy map should be used as a guide to identify areas that are likely flooded, and is less reliable over urban and vegetated areas.
Satellite/Sensor:
Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2
Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)
Resolution:
JAXA ALOS-2: 25 meters
Copernicus Sentinel-1: 30 meters
Credits:
The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS.
Data were provided by Sentinel Asia and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS).
Esri REST Endpoint:
See URL Section on right side of page
WMS Endpoint:
Data Download:
https://eos-rs-products.earthobservatory.sg/EOS-RS_202206_India_Floods/
Service Item Id: 9e49f039612741878e7f560a67f2d4e5
Copyright Text: EOS-RS, NASA-JPL/Caltech ARIA Team, ESA, Copernicus, JAXA
Spatial Reference:
4326
(4326)
Single Fused Map Cache: false
Initial Extent:
XMin: 88.86980609224827
YMin: 22.999965542395444
XMax: 97.85083681816053
YMax: 28.4363996507891
Spatial Reference: 4326
(4326)
Full Extent:
XMin: 89.30783651764231
YMin: 23.69971862031401
XMax: 96.38533691670585
YMax: 27.65348888096394
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: EOS-RS Flood Proxy Maps (JAXA ALOS-2, Copernicus Sentinel-1) for the Bangladesh Flooding June 2022
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Date of Images:</SPAN></P><P><SPAN>6/21/2022, 6/22/2022</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;">Summary:</SPAN></P><P><SPAN STYLE="font-style:italic;">6/21/2022 (Copernicus Sentinel-1)</SPAN></P><P><SPAN>The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Assam, India due to heavy rains. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (9 Jun 2022) and during (21 Jun 2022) the event.</SPAN></P><P><SPAN STYLE="font-style:italic;">6/22/2022 (JAXA ALOS-2)</SPAN></P><P><SPAN>The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Assam, India due to heavy rains. This map was derived from synthetic aperture radar (SAR) images acquired by the ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA) before (11 May 2022) and during (22 Jun 2022) the event.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Suggested Use:</SPAN></P><P><SPAN>Blue pixels indicate areas that are likely flooded. </SPAN></P><P><SPAN>This flood proxy map should be used as a guide to identify areas that are likely flooded, and is less reliable over urban and vegetated areas.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Satellite/Sensor:</SPAN></P><P><SPAN>Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2</SPAN></P><P><SPAN>Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)</SPAN></P><P><SPAN STYLE="font-weight:bold;">Resolution:</SPAN></P><P><SPAN>JAXA ALOS-2: 25 meters</SPAN></P><P><SPAN>Copernicus Sentinel-1: 30 meters</SPAN></P><P><SPAN STYLE="font-weight:bold;">Credits:</SPAN></P><P><SPAN>The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS.</SPAN></P><P><SPAN>Data were provided by Sentinel Asia and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS).</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 Endpoint:</SPAN></P><P><SPAN STYLE="font-weight:bold;">Data Download:</SPAN></P><P><A href="https://eos-rs-products.earthobservatory.sg:443/EOS-RS_202206_India_Floods/" STYLE="text-decoration:underline;"><SPAN>https://eos-rs-products.earthobservatory.sg/EOS-RS_202206_India_Floods/</SPAN></A></P></DIV></DIV></DIV>
Subject: EOS-RS Flood Proxy Maps (JAXA ALOS-2, Copernicus Sentinel-1) for the Bangladesh Flooding June 2022
Category:
Keywords: NASA,NASA Disasters Program,EOS-RS,Earth Observatory of Singapore,Flood,ESA,Copernicus,Sentinel-1,ALOS-2,JAXA,Bangladesh,India
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
Resampling: false
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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