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DISASTERS_202510_FLOOD_AK/202510_opera_dswx_hls (MapServer)

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Service Description: <div style='text-align:Left;'><div><div><p><span style='font-weight:bold;'>Date of Images</span></p><p><span style='font-style:italic;'>Pre-event: </span><span>2025-10-08</span></p><p><span style='font-style:italic;'>Co and Post-event: </span><span>2025-10-13</span></p><p><span style='font-weight:bold;'>Summary:</span></p><p><span>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 (JPL) and the California Institute of Technology produced maps showing areas affected by flooding in western Alaska in October 2025 using the OPERA Dynamic Surface Water Extent from NASA Harmonized Landsat Sentinel-2 product (DSWx-HLS). The flooding was triggered by the remnants of Typhoon Halong, which brought hurricane-force winds and record-breaking storm surge to the Yukon-Kuskokwim Delta region. The event caused catastrophic damage across multiple Alaska Native coastal villages, including Kipnuk and Kwigillingok, where floodwaters swept homes from their foundations, destroyed infrastructure, and disrupted access to essential services.</span></p><p><span>These maps provide an initial view of the surface water extent observed following the flood event. The results presented here are preliminary and unvalidated, intended primarily to support situational awareness and field response efforts. The ARIA-Share platform emphasizes rapid dissemination of satellite-based products for disaster response. All information is provisional and should be used under emergency response guidelines. These data are provided without warranty of any kind. Use at your own risk.</span></p><p><span style='font-style:italic;'>OPERA DSWx-HLS</span></p><p><span>The OPERA DSWx-HLS was used to identify surface water for the flooding event. The images provided are a mosaic of OPERA DSWx-HLS products, producing a composite image for each date. The mosaicking applied prioritized pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files. </span></p><p><span>Water (WTR) Layer Description: Masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water, and partial surface water), snow/ice, cloud/cloud shadow and adjacent to cloud/cloud shadow, ocean masked, or no data classes as a result of processing the diagnostic (DIAG) layer through all intermediate steps/layers (WTR-1, and WTR-2).</span></p><p><span style='font-style:italic;'>Water (WTR) Layer Values:</span></p><ul><li><p><span>0: Not Water - an area with valid reflectance data that is not open water (class 1), partial surface water (class 2), snow/ice (class 252), cloud/cloud shadow (class 253), or ocean masked (class 254). Masking can result in “not water†(class 0) where land cover masking is applied. (suggested color: #ffffff)</span></p></li><li><p><span>1: Open Water - an area that is entirely water and unobstructed to the sensor, including obstructions by vegetation, terrain, and buildings. (suggested color: #0000ff)</span></p></li><li><p><span>2: Partial Surface Water – an area that is considered inundated, extracted from the high value in dual polarization ratio and the wetland class in land cover map. (suggested color: #b4d5f4)</span></p></li><li><p><span>252: Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data (suggested color: #00ffff)</span></p></li><li><p><span>253: Cloud/Cloud Shadow - an area identified as cloud or cloud shadow or adjacent to cloud/cloud shadow according to input HLS Fmask quality assurance (QA) data (suggested color: #afafaf)</span></p></li><li><p><span>254: Ocean Masked - an area identified as ocean using a shoreline database with an added margin (suggested color: #00007f)</span></p></li><li><p><span>255: No data (suggested color: transparent)</span></p></li></ul><p><span style='font-weight:bold;'>Satellite/Sensor:</span></p><p><span>Multi Spectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B/C satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8 satellite.</span></p><p><span style='font-weight:bold;'>Resolution:</span></p><p><span>30 meters</span></p><p><span style='font-style:italic;'>OPERA DSWx-HLS data availability</span></p><p><span>The post-processed products are available to download at https://aria-share.jpl.nasa.gov/20251012_Alaska_Floods/DSWx-HLS/. The OPERA DSWx-HLS products have been in production since April 2023, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. 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. </span></p><p><span>For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov. </span></p><p><span>For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/. </span></p><p><span style='font-weight:bold;'>Product POCs:</span></p><p><span>Cole Speed (cole.speed@jpl.nasa.gov)</span></p><p><span>Mary Grace Bato (bato@jpl.nasa.gov)</span></p><p><span>Ines Fenni (ines.fenni@jpl.nasa.gov)</span></p><p><span>Alexander Handwerger (alexander.handwerger@jpl.nasa.gov)</span></p><p><span>Renato Frasson (renato.prata.de.moraes.frasson@jpl.nasa.gov)</span></p><p><span style='font-weight:bold;'>Credits:</span></p><p><span>HLS data was accessed through NASA EarthData Search. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency, NASA/USGS Landsat 8/9 data, and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA Jet Propulsion Laboratory.</span></p><p><span>NASA JPL-Caltech ARIA/OPERA Team</span></p><p><span>==================</span></p><p><span>Last Update 20 Oct 2025</span></p></div></div></div>

Map Name: ARIA_HLS

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Layers: Description: Date of ImagesPre-event: 2025-10-08Co and Post-event: 2025-10-13Summary: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 (JPL) and the California Institute of Technology produced maps showing areas affected by flooding in western Alaska in October 2025 using the OPERA Dynamic Surface Water Extent from NASA Harmonized Landsat Sentinel-2 product (DSWx-HLS). The flooding was triggered by the remnants of Typhoon Halong, which brought hurricane-force winds and record-breaking storm surge to the Yukon-Kuskokwim Delta region. The event caused catastrophic damage across multiple Alaska Native coastal villages, including Kipnuk and Kwigillingok, where floodwaters swept homes from their foundations, destroyed infrastructure, and disrupted access to essential services.These maps provide an initial view of the surface water extent observed following the flood event. The results presented here are preliminary and unvalidated, intended primarily to support situational awareness and field response efforts. The ARIA-Share platform emphasizes rapid dissemination of satellite-based products for disaster response. All information is provisional and should be used under emergency response guidelines. These data are provided without warranty of any kind. Use at your own risk.OPERA DSWx-HLSThe OPERA DSWx-HLS was used to identify surface water for the flooding event. The images provided are a mosaic of OPERA DSWx-HLS products, producing a composite image for each date. The mosaicking applied prioritized pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files. Water (WTR) Layer Description: Masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water, and partial surface water), snow/ice, cloud/cloud shadow and adjacent to cloud/cloud shadow, ocean masked, or no data classes as a result of processing the diagnostic (DIAG) layer through all intermediate steps/layers (WTR-1, and WTR-2).Water (WTR) Layer Values:0: Not Water - an area with valid reflectance data that is not open water (class 1), partial surface water (class 2), snow/ice (class 252), cloud/cloud shadow (class 253), or ocean masked (class 254). Masking can result in “not water†(class 0) where land cover masking is applied. (suggested color: #ffffff)1: Open Water - an area that is entirely water and unobstructed to the sensor, including obstructions by vegetation, terrain, and buildings. (suggested color: #0000ff)2: Partial Surface Water – an area that is considered inundated, extracted from the high value in dual polarization ratio and the wetland class in land cover map. (suggested color: #b4d5f4)252: Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data (suggested color: #00ffff)253: Cloud/Cloud Shadow - an area identified as cloud or cloud shadow or adjacent to cloud/cloud shadow according to input HLS Fmask quality assurance (QA) data (suggested color: #afafaf)254: Ocean Masked - an area identified as ocean using a shoreline database with an added margin (suggested color: #00007f)255: No data (suggested color: transparent)Satellite/Sensor:Multi Spectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B/C satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8 satellite.Resolution:30 metersOPERA DSWx-HLS data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20251012_Alaska_Floods/DSWx-HLS/. The OPERA DSWx-HLS products have been in production since April 2023, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. 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. For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/. Product POCs:Cole Speed (cole.speed@jpl.nasa.gov)Mary Grace Bato (bato@jpl.nasa.gov)Ines Fenni (ines.fenni@jpl.nasa.gov)Alexander Handwerger (alexander.handwerger@jpl.nasa.gov)Renato Frasson (renato.prata.de.moraes.frasson@jpl.nasa.gov)Credits:HLS data was accessed through NASA EarthData Search. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency, NASA/USGS Landsat 8/9 data, and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA Jet Propulsion Laboratory.NASA JPL-Caltech ARIA/OPERA Team==================Last Update 20 Oct 2025

Service Item Id: 475de8432d254d9dbe71a1aa2be8093d

Copyright Text: HLS data was accessed through NASA EarthData Search. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency, NASA/USGS Landsat 8/9 data, and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA Jet Propulsion Laboratory.

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