View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcMap
ArcGIS Pro
View Footprint In:
ArcGIS Online Map Viewer
Service Description: Date of Image:
10/2/2022
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 created the multi-temporal coherence-based Damage Proxy Map (DPM2) depicting areas that are likely damaged in Florida state in the U.S. due to Hurricane Ian in September 2022. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) from 05 April 2022 to 02 October 2022.
Suggested Use:
The color variation from pale yellow to red indicates increasingly more significant surface change (drop in radar reflection coherence). Preliminary validation was done by comparing with the Media reports and other images.
This damage proxy map should be used as guidance to identify damaged areas or areas affected by flood and may be less reliable over vegetated areas. The changes in radar reflections from flooded land and damaged buildings cannot be separated easily. 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.
Satellite/Sensor:
Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)
Resolution:
30 meters
Credits:
Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. NASA's Earth Applied Sciences Disasters Program provided part of the funding.
For more information about ARIA, visit: http://aria.jpl.nasa.gov
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://maps.disasters.nasa.gov/ags04/services/hurricane_ian_2022/aria_dpm/MapServer/WMSServer
Data Download:
https://aria-share.jpl.nasa.gov/202209-Hurricane_Ian_USA/DPM/
Map Name: aria_dpm
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description: Date of Image:
10/2/2022
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 created the multi-temporal coherence-based Damage Proxy Map (DPM2) depicting areas that are likely damaged in Florida state in the U.S. due to Hurricane Ian in September 2022. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) from 05 April 2022 to 02 October 2022.
Suggested Use:
The color variation from pale yellow to red indicates increasingly more significant surface change (drop in radar reflection coherence). Preliminary validation was done by comparing with the Media reports and other images.
This damage proxy map should be used as guidance to identify damaged areas or areas affected by flood and may be less reliable over vegetated areas. The changes in radar reflections from flooded land and damaged buildings cannot be separated easily. 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.
Satellite/Sensor:
Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)
Resolution:
30 meters
Credits:
Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. NASA's Earth Applied Sciences Disasters Program provided part of the funding.
For more information about ARIA, visit: http://aria.jpl.nasa.gov
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://maps.disasters.nasa.gov/ags04/services/hurricane_ian_2022/aria_dpm/MapServer/WMSServer
Data Download:
https://aria-share.jpl.nasa.gov/202209-Hurricane_Ian_USA/DPM/
Service Item Id: b598cfd7c52f4a0e8ddecd1793471bf5
Copyright Text: NASA-JPL/Caltech ARIA Team, ESA, Copernicus
Spatial Reference:
4326
(4326)
Single Fused Map Cache: false
Initial Extent:
XMin: -83.71355449253136
YMin: 26.227804658937742
XMax: -78.07294007501719
YMax: 30.478521822191524
Spatial Reference: 4326
(4326)
Full Extent:
XMin: -82.609121835
YMin: 25.507653214
XMax: -80.008453312
YMax: 31.016603093
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: aria_dpm
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Date of Image:</SPAN></P><P><SPAN>10/2/2022</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>The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology created the multi-temporal coherence-based Damage Proxy Map (DPM2) depicting areas that are likely damaged in Florida state in the U.S. due to Hurricane Ian in September 2022. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) from 05 April 2022 to 02 October 2022.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Suggested Use:</SPAN></P><P><SPAN>The color variation from pale yellow to red indicates increasingly more significant surface change (drop in radar reflection coherence). Preliminary validation was done by comparing with the Media reports and other images.</SPAN></P><P><SPAN>This damage proxy map should be used as guidance to identify damaged areas or areas affected by flood and may be less reliable over vegetated areas. The changes in radar reflections from flooded land and damaged buildings cannot be separated easily. 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.</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>Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. NASA's Earth Applied Sciences Disasters Program provided part of the funding.</SPAN></P><P><SPAN>For more information about ARIA, visit: </SPAN><A href="http://aria.jpl.nasa.gov:80/" STYLE="text-decoration:underline;"><SPAN>http://aria.jpl.nasa.gov</SPAN></A></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><A href="https://maps.disasters.nasa.gov:443/ags04/services/hurricane_ian_2022/aria_dpm/MapServer/WMSServer" target="_blank" STYLE="text-decoration:underline;"><SPAN>https://maps.disasters.nasa.gov/ags04/services/hurricane_ian_2022/aria_dpm/MapServer/WMSServer</SPAN></A></P><P><SPAN STYLE="font-weight:bold;">Data Download:</SPAN></P><P><A href="https://aria-share.jpl.nasa.gov:443/202209-Hurricane_Ian_USA/DPM/" STYLE="text-decoration:underline;"><SPAN>https://aria-share.jpl.nasa.gov/202209-Hurricane_Ian_USA/DPM/</SPAN></A></P></DIV></DIV></DIV>
Subject: ARIA Damage Proxy Map (Copernicus Sentinel-1) for Hurricane Ian
Category:
Keywords: NASA,NASA Disasters Program,ARIA,Ian,Hurricane,Hurricane Ian,Florida,Fort Myers,Cape Coral,Sanibel,Tampa,Naples,Marco Island,Lakeland,Copernicus,ESA,Sentinel-1
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
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryLegends
QueryDomains
Find
Return Updates