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Service Description: Date of Images:
During Event: 8/21/2024, 8/9/2024
Pre-Event: 5/5/2024
Summary:
This flood map shows open water extent before and after a flood event on May 5, 2024 and August 21, 2024 respectively. The data from the B01_WTR layer represents pixel-wise classification into one of three water classes (not water, open water, and inundated vegetation), masked areas (including height threshold and layover/radar shadow), or no data classes.
Data Sources:
The Dynamic Surface Water eXtent (DSWx) products map pixel-wise surface water detections using optical or SAR imagery.
The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the surface water extent flood maps using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) products.
The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent.
For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite
For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov
Suggested Use:
The OPERA DSWx-HLS Water product classifies the Harmonized Landsat Sentinel-2 (HLS) input imagery into "not water", "open surface water", and “partial surface water”. The "HLS cloud/cloud shadow" and "HLS snow/ice" layers are direct inputs from the HLS FMask.
Areas with clouds or cloud shadows are light gray. An area identified as cloud, cloud shadow, or adjacent to cloud/cloud shadow according to input HLS quality assurance (QA) data.
Areas with no water detected are white. An area with valid data that is not water, snow/ice, cloud/cloud shadow, or ocean masked.
Note: Sediment rich water is sometimes misclassified as snow/ice by the HLS QA mask.
For more information about how the OPERA DSWx-HLS Water product classifies data: https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdf
Satellite/Sensor:
Sentinel-1A satellite (ESA Copernicus)
Data Availability:
The DSWx-S1 data product is not yet in production. These DSWx-S1 data were generated for flood response maps. For more information about the DSWx product suite, please refer to: http://www.jpl.nasa.gov/go/opera/products/dswx-product-suite.
Resolution:
30 meters
Credits:
NASA JPL-Caltech ARIA Team, NASA, NASA Disasters Program, Esri ArcGIS Basemaps, NOAA GSHHG Coastlines, Auxiliary data
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
TBD (pending public sharing)
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2024/bangladesh_flood_202408/aria/
aria_opera_dswx
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Description: Date of Images:During Event: 8/21/2024, 8/9/2024Pre-Event: 5/5/2024Summary:This flood map shows open water extent before and after a flood event on May 5, 2024 and August 21, 2024 respectively. The data from the B01_WTR layer represents pixel-wise classification into one of three water classes (not water, open water, and inundated vegetation), masked areas (including height threshold and layover/radar shadow), or no data classes.Data Sources:The Dynamic Surface Water eXtent (DSWx) products map pixel-wise surface water detections using optical or SAR imagery.The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the surface water extent flood maps using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) products.The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent.For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suiteFor more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.govSuggested Use:The OPERA DSWx-HLS Water product classifies the Harmonized Landsat Sentinel-2 (HLS) input imagery into "not water", "open surface water", and “partial surface water”. The "HLS cloud/cloud shadow" and "HLS snow/ice" layers are direct inputs from the HLS FMask.Areas with clouds or cloud shadows are light gray. An area identified as cloud, cloud shadow, or adjacent to cloud/cloud shadow according to input HLS quality assurance (QA) data.Areas with no water detected are white. An area with valid data that is not water, snow/ice, cloud/cloud shadow, or ocean masked.Note: Sediment rich water is sometimes misclassified as snow/ice by the HLS QA mask.For more information about how the OPERA DSWx-HLS Water product classifies data: https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdfSatellite/Sensor:Sentinel-1A satellite (ESA Copernicus)Data Availability:The DSWx-S1 data product is not yet in production. These DSWx-S1 data were generated for flood response maps. For more information about the DSWx product suite, please refer to: http://www.jpl.nasa.gov/go/opera/products/dswx-product-suite.Resolution:30 metersCredits:NASA JPL-Caltech ARIA Team, NASA, NASA Disasters Program, Esri ArcGIS Basemaps, NOAA GSHHG Coastlines, Auxiliary dataEsri REST Endpoint:See URL section on right side of pageWMS Endpoint:TBD (pending public sharing)Data Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2024/bangladesh_flood_202408/aria/
Service Item Id: f4629c52c31b41c1b294b45278beccdf
Copyright Text: NASA JPL-Caltech ARIA Team, NASA, NASA Disasters Program, Esri ArcGIS Basemaps, NOAA GSHHG Coastlines, Auxiliary data
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: 9979615.834640047
YMin: 2662913.83053277
XMax: 1.0138323830309441E7
YMax: 2808109.890062922
Spatial Reference: 102100
(3857)
Full Extent:
XMin: 9862832.246768845
YMin: 2379902.181366917
XMax: 1.026111173339175E7
YMax: 3012625.2647050163
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: ARIA Water Maps derived from the OPERA Dynamic Surface Water Extent product suite for the August 2024 Bangladesh Flooding
Author:
Comments: Date of Images:During Event: 8/21/2024, 8/9/2024Pre-Event: 5/5/2024Summary:This flood map shows open water extent before and after a flood event on May 5, 2024 and August 21, 2024 respectively. The data from the B01_WTR layer represents pixel-wise classification into one of three water classes (not water, open water, and inundated vegetation), masked areas (including height threshold and layover/radar shadow), or no data classes.Data Sources:The Dynamic Surface Water eXtent (DSWx) products map pixel-wise surface water detections using optical or SAR imagery.The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the surface water extent flood maps using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) products.The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent.For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suiteFor more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.govSuggested Use:The OPERA DSWx-HLS Water product classifies the Harmonized Landsat Sentinel-2 (HLS) input imagery into "not water", "open surface water", and “partial surface water”. The "HLS cloud/cloud shadow" and "HLS snow/ice" layers are direct inputs from the HLS FMask.Areas with clouds or cloud shadows are light gray. An area identified as cloud, cloud shadow, or adjacent to cloud/cloud shadow according to input HLS quality assurance (QA) data.Areas with no water detected are white. An area with valid data that is not water, snow/ice, cloud/cloud shadow, or ocean masked.Note: Sediment rich water is sometimes misclassified as snow/ice by the HLS QA mask.For more information about how the OPERA DSWx-HLS Water product classifies data: https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdfSatellite/Sensor:Sentinel-1A satellite (ESA Copernicus)Data Availability:The DSWx-S1 data product is not yet in production. These DSWx-S1 data were generated for flood response maps. For more information about the DSWx product suite, please refer to: http://www.jpl.nasa.gov/go/opera/products/dswx-product-suite.Resolution:30 metersCredits:NASA JPL-Caltech ARIA Team, NASA, NASA Disasters Program, Esri ArcGIS Basemaps, NOAA GSHHG Coastlines, Auxiliary dataEsri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags04/services/brasil_flood_2024/ARIA_Water_Maps_derived_from_OPERA_DSWx_product_suite_for_Brasil_Flooding_and_Landslides/MapServer/WMSServerData Download:https://aria-share.jpl.nasa.gov/202405-RioGrandeSul_Brazil-floods/DSWx-HLS/
Subject: ARIA Water Maps derived from the OPERA Dynamic Surface Water Extent product suite for the August 2024 Bangladesh Flooding.
Category:
Keywords: NASA,NASA Disasters Program,ARIA,OPERA,HLS,Landsat,Sentinel-2,Flood,Flooding,Floods,Landslide,Bangladesh,Asia
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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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