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Dates of Images:<\/SPAN><\/P>

Post-Event: 9/1/2021, 9/3/2021<\/SPAN><\/P>

Pre-Event: 3/12/2021, 3/13/2021<\/SPAN><\/P>

Date of Next Image:<\/SPAN><\/P>

None Expected<\/SPAN><\/P>

Summary: <\/SPAN><\/P>

These UAVSAR false color RGB images provide a unique look at the Earth's surface that can be used fro identifying flooding and inundation under tree canopy. The overlay of the intensities of these three polarization channels allows user to visually classify a scene by its backscattering mechanism, such as surface scattering (strong HH and VV return), volume scattering (strong HV return) and double-bounce scattering (strong HH return). Areas dominated by green (HV) intensity are typically vegetated areas. Areas dominated by shades of pink (HH+HV) intensity are typically inundated forests or vegetated fields. Black and dark grey areas are usually smooth surface (roads, open water, smooth bare ground) where there is very little radar backscatter.<\/SPAN><\/P>

Suggested Use: <\/SPAN><\/P>

The polarimetric color composite is well suited for identifying inundation under tree canopies. This product is especially useful in mapping inundation extent in regions covered with vegetation where the ground is not visible in optical imagery.<\/SPAN><\/P>

Open water can be seen as dark blue/black, areas with inundation under tree canopy can be seen in pink-like colors<\/SPAN><\/P>

Satellite/Sensor: <\/SPAN><\/P>

UAVSAR airborne L-band synthetic aperture radar (SAR) aboard a NASA Gulfstream C-20A jet. <\/SPAN><\/P>

Resolution: <\/SPAN><\/P>

10 meters <\/SPAN><\/P>

Credits:<\/SPAN><\/P>

UAVSAR data courtesy of NASA/JPL-Caltech<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "mapName": "UAVSAR", "description": "

Dates of Images:<\/SPAN><\/P>

Post-Event: 9/1/2021, 9/3/2021<\/SPAN><\/P>

Pre-Event: 3/12/2021, 3/13/2021<\/SPAN><\/P>

Date of Next Image:<\/SPAN><\/P>

None Expected<\/SPAN><\/P>

Summary: <\/SPAN><\/P>

These UAVSAR false color RGB images provide a unique look at the Earth's surface that can be used fro identifying flooding and inundation under tree canopy. The overlay of the intensities of these three polarization channels allows user to visually classify a scene by its backscattering mechanism, such as surface scattering (strong HH and VV return), volume scattering (strong HV return) and double-bounce scattering (strong HH return). Areas dominated by green (HV) intensity are typically vegetated areas. Areas dominated by shades of pink (HH+HV) intensity are typically inundated forests or vegetated fields. Black and dark grey areas are usually smooth surface (roads, open water, smooth bare ground) where there is very little radar backscatter.<\/SPAN><\/P>

Suggested Use: <\/SPAN><\/P>

The polarimetric color composite is well suited for identifying inundation under tree canopies. This product is especially useful in mapping inundation extent in regions covered with vegetation where the ground is not visible in optical imagery.<\/SPAN><\/P>

Open water can be seen as dark blue/black, areas with inundation under tree canopy can be seen in pink-like colors<\/SPAN><\/P>

Satellite/Sensor: <\/SPAN><\/P>

UAVSAR airborne L-band synthetic aperture radar (SAR) aboard a NASA Gulfstream C-20A jet. <\/SPAN><\/P>

Resolution: <\/SPAN><\/P>

10 meters <\/SPAN><\/P>

Credits:<\/SPAN><\/P>

UAVSAR data courtesy of NASA/JPL-Caltech<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "copyrightText": "NASA/JPL-Caltech UAVSAR Team", "supportsDynamicLayers": true, "layers": [ { "id": 0, "name": "September 2021 [Post-Event]", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": [ 1, 2, 3 ], "minScale": 0, "maxScale": 0, "type": "Group Layer", "supportsDynamicLegends": false }, { "id": 1, "name": "9/3/2021 [Track 27010]", "parentLayerId": 0, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 2, "name": "9/1/2021 [Track 14015]", "parentLayerId": 0, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 3, "name": "9/1/2021 [Track 32018]", "parentLayerId": 0, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 4, "name": "March 2016 [Pre-Event]", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": [ 5, 6, 7, 8 ], "minScale": 0, "maxScale": 0, "type": "Group Layer", "supportsDynamicLegends": false }, { "id": 5, "name": "3/13/2016 [Track 32018]", "parentLayerId": 4, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 6, "name": "3/13/2016 [Track 27010]", "parentLayerId": 4, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 7, "name": "3/13/2016 [Track 09010]", "parentLayerId": 4, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 8, "name": "3/12/2016 [Track 14015]", "parentLayerId": 4, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true } ], "tables": [], "spatialReference": { "wkid": 4326, "latestWkid": 4326, "xyTolerance": 8.983152841195215E-9, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -400, "falseY": -400, "xyUnits": 9.999999999999999E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "singleFusedMapCache": false, "initialExtent": { "xmin": -91.58679696017492, "ymin": 29.08923730268222, "xmax": -89.19928171119534, "ymax": 30.465569622682217, "spatialReference": { "wkid": 4326, "latestWkid": 4326, "xyTolerance": 8.983152841195215E-9, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -400, "falseY": -400, "xyUnits": 9.999999999999999E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 } }, "fullExtent": { "xmin": -91.3532799, "ymin": 28.9727343, "xmax": -89.4039573, "ymax": 30.54335994, "spatialReference": { "wkid": 4326, "latestWkid": 4326, "xyTolerance": 8.983152841195215E-9, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -400, "falseY": -400, "xyUnits": 9.999999999999999E8, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 } }, "datesInUnknownTimezone": false, "minScale": 0, "maxScale": 0, "units": "esriDecimalDegrees", "supportedImageFormatTypes": "PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP", "documentInfo": { "Title": "Map1", "Author": "", "Comments": "

Dates of Images:<\/SPAN><\/P>

Post-Event: 9/1/2021, 9/3/2021<\/SPAN><\/P>

Pre-Event: 3/12/2021, 3/13/2021<\/SPAN><\/P>

Date of Next Image:<\/SPAN><\/P>

None Expected<\/SPAN><\/P>

Summary: <\/SPAN><\/P>

These UAVSAR false color RGB images provide a unique look at the Earth's surface that can be used fro identifying flooding and inundation under tree canopy. The overlay of the intensities of these three polarization channels allows user to visually classify a scene by its backscattering mechanism, such as surface scattering (strong HH and VV return), volume scattering (strong HV return) and double-bounce scattering (strong HH return). Areas dominated by green (HV) intensity are typically vegetated areas. Areas dominated by shades of pink (HH+HV) intensity are typically inundated forests or vegetated fields. Black and dark grey areas are usually smooth surface (roads, open water, smooth bare ground) where there is very little radar backscatter.<\/SPAN><\/P>

Suggested Use: <\/SPAN><\/P>

The polarimetric color composite is well suited for identifying inundation under tree canopies. This product is especially useful in mapping inundation extent in regions covered with vegetation where the ground is not visible in optical imagery.<\/SPAN><\/P>

Open water can be seen as dark blue/black, areas with inundation under tree canopy can be seen in pink-like colors<\/SPAN><\/P>

Satellite/Sensor: <\/SPAN><\/P>

UAVSAR airborne L-band synthetic aperture radar (SAR) aboard a NASA Gulfstream C-20A jet. <\/SPAN><\/P>

Resolution: <\/SPAN><\/P>

10 meters <\/SPAN><\/P>

Credits:<\/SPAN><\/P>

UAVSAR data courtesy of NASA/JPL-Caltech<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "Subject": "UAVSAR Imagery for Hurricane Ida 2021", "Category": "", "AntialiasingMode": "None", "TextAntialiasingMode": "Force", "Version": "2.4.0", "Keywords": "NASA,NASA Disasters Program,Hurricane Ida,Louisiana,UAVSAR,SAR" }, "supportsQueryDomains": true, "capabilities": "Map,Query,Data", "supportedQueryFormats": "JSON, geoJSON, PBF", "exportTilesAllowed": false, "referenceScale": 0.0, "supportsDatumTransformation": true, "archivingInfo": {"supportsHistoricMoment": false}, "supportsClipping": true, "supportsSpatialFilter": true, "supportsTimeRelation": true, "supportsQueryDataElements": true, "maxRecordCount": 2000, "maxImageHeight": 4096, "maxImageWidth": 4096, "supportedExtensions": "WMSServer", "resampling": false, "serviceItemId": "807a6ce4c2c248bba674e113aaaada7c" }