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Description<\/SPAN><\/P>

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

2025-06-23, 2026-06-26, 2025-06-28<\/SPAN><\/P>

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

Unknown<\/SPAN><\/P>

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

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 created maps of surface water extent in a region of eastern/central New Mexico impacted by floods between June 20-28, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product. <\/SPAN><\/P>

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. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk.<\/SPAN><\/P>

OPERA DSWx-HLS<\/SPAN><\/P>

The OPERA DSWx-HLS was used to identify surface water for three distinct dates (June 23, 2025; June 26, 2025; June 28, 2025) during a period of flooding in eastern and central New Mexico. The images provided are a mosaic of OPERA DSWx-HLS products from 9 individual granules, producing a composite image for each date. The mosaicking applied prioritizazed 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>

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

Binary Water (BWTR) Layer Description: <\/SPAN>The binary water layer is derived from the WTR layer as a union of water classes (open water and partial surface water) into a binary map indicating areas with and without water. This layer is meant to provide users with a quick view for water/no-water. Invalid data classes (snow/ice, cloud/cloud shadow along with adjacent to cloud/cloud shadow, ocean masked, and fill value) are also provided to indicate areas in which the binary classification does not provide water/no-water classification.<\/SPAN><\/P>

Binary Water (BWTR) Layer Values:<\/SPAN><\/P>

0: Not Water - an area with valid reflectance data that is not water (class 1) and not snow/ice (class 252), cloud/cloud shadow (class 253), or ocean masked (class 254) (suggested color: #ffffff)<\/SPAN><\/P>

1: Water - an area classified as \"open water\" or \"partial surface water\" (suggested color: #0000ff)<\/SPAN><\/P>

252: Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data (suggested color: #00ffff)<\/SPAN><\/P>

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>

254: Ocean Masked - an area identified as ocean using a shoreline database with an added margin (suggested color: #00007f)<\/SPAN><\/P>

255: No data (suggested color: transparent)<\/SPAN><\/P>

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

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 8/9 satellite.<\/SPAN><\/P>

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

30 meters<\/SPAN><\/P>

OPERA DSWx-HLS data availability<\/SPAN><\/P>

The post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250630_NewMexico_Floods/. 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>

For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov. <\/SPAN><\/P>

For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/. <\/SPAN><\/P>

Product POCs:<\/SPAN><\/P>

Cole Speed (cole.speed@jpl.nasa.gov)<\/SPAN><\/P>

Mary Grace Bato (mary.grace.p.bato@jpl.nasa.gov)<\/SPAN><\/P>

Alexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)<\/SPAN><\/P>

Steven Chan (steventsz.k.chan@jpl.nasa.gov)<\/SPAN><\/P>

David Bekaert (david.bekaert@jpl.nasa.gov)<\/SPAN><\/P>

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

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's Jet Propulsion Laboratory.<\/SPAN><\/P>

NASA JPL-Caltech ARIA/OPERA Team<\/SPAN><\/P>

==================<\/SPAN><\/P>

Esri REST Endpoint:<\/SPAN><\/P>

See URL on the right side of the page.<\/SPAN><\/P>

WMS Endpoint:<\/SPAN><\/P>

Data Download:<\/SPAN><\/P>

OPERA_DSWx-HLS_V1_BWTR_2025-06-23.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 23, 2025. <\/SPAN><\/P>

OPERA_DSWx-HLS_V1_BWTR_2025-06-26.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 26, 2025.<\/SPAN><\/P>

OPERA_DSWx-HLS_V1_BWTR_2025-06-28.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 28, 2025.<\/SPAN><\/P>

<\/P>

Last Update 30 June 2025<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "mapName": "dswx_hls", "description": "DescriptionDate of Images: 2025-06-23, 2026-06-26, 2025-06-28Date of Next Image:UnknownSummary: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 created maps of surface water extent in a region of eastern/central New Mexico impacted by floods between June 20-28, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product. 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. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk.OPERA DSWx-HLSThe OPERA DSWx-HLS was used to identify surface water for three distinct dates (June 23, 2025; June 26, 2025; June 28, 2025) during a period of flooding in eastern and central New Mexico. The images provided are a mosaic of OPERA DSWx-HLS products from 9 individual granules, producing a composite image for each date. The mosaicking applied prioritizazed pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files. Suggested UseBinary Water (BWTR) Layer Description: The binary water layer is derived from the WTR layer as a union of water classes (open water and partial surface water) into a binary map indicating areas with and without water. This layer is meant to provide users with a quick view for water/no-water. Invalid data classes (snow/ice, cloud/cloud shadow along with adjacent to cloud/cloud shadow, ocean masked, and fill value) are also provided to indicate areas in which the binary classification does not provide water/no-water classification.Binary Water (BWTR) Layer Values:0: Not Water - an area with valid reflectance data that is not water (class 1) and not snow/ice (class 252), cloud/cloud shadow (class 253), or ocean masked (class 254) (suggested color: #ffffff)1: Water - an area classified as \"open water\" or \"partial surface water\" (suggested color: #0000ff)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 8/9 satellite.Resolution:30 metersOPERA DSWx-HLS data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250630_NewMexico_Floods/. 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 (mary.grace.p.bato@jpl.nasa.gov)Alexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)Steven Chan (steventsz.k.chan@jpl.nasa.gov)David Bekaert (david.bekaert@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's Jet Propulsion Laboratory.NASA JPL-Caltech ARIA/OPERA Team==================Esri REST Endpoint:See URL on the right side of the page.WMS Endpoint:Data Download:OPERA_DSWx-HLS_V1_BWTR_2025-06-23.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 23, 2025. OPERA_DSWx-HLS_V1_BWTR_2025-06-26.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 26, 2025.OPERA_DSWx-HLS_V1_BWTR_2025-06-28.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 28, 2025.Last Update 30 June 2025", "copyrightText": "NASA JPL-Caltech ARIA/OPERA Team", "supportsDynamicLayers": true, "layers": [ { "id": 0, "name": "June 28, 2025", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 1, "name": "June 26, 2025", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true }, { "id": 2, "name": "June 23, 2025", "parentLayerId": -1, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Raster Layer", "supportsDynamicLegends": true } ], "tables": [], "spatialReference": { "wkid": 32613, "latestWkid": 32613, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -5120900, "falseY": -9998100, "xyUnits": 10000, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "singleFusedMapCache": false, "initialExtent": { "xmin": 524066.70391118526, "ymin": 3664105.378324522, "xmax": 569076.9547960556, "ymax": 3696269.5663206824, "spatialReference": { "wkid": 32613, "latestWkid": 32613, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -5120900, "falseY": -9998100, "xyUnits": 10000, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 } }, "fullExtent": { "xmin": 300000, "ymin": 3490200, "xmax": 609780, "ymax": 3800040, "spatialReference": { "wkid": 32613, "latestWkid": 32613, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -5120900, "falseY": -9998100, "xyUnits": 10000, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 } }, "datesInUnknownTimezone": false, "minScale": 0, "maxScale": 0, "units": "esriMeters", "supportedImageFormatTypes": "PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP", "documentInfo": { "Title": "OPERA Dynamic Surface Water eXtent from Harmonized Landsat and Sentinel-2 (DSWx-HLS)", "Author": "", "Comments": "DescriptionDate of Images: 2025-06-23, 2026-06-26, 2025-06-28Date of Next Image:UnknownSummary: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 created maps of surface water extent in a region of eastern/central New Mexico impacted by floods between June 20-28, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product. 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. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk.OPERA DSWx-HLSThe OPERA DSWx-HLS was used to identify surface water for three distinct dates (June 23, 2025; June 26, 2025; June 28, 2025) during a period of flooding in eastern and central New Mexico. The images provided are a mosaic of OPERA DSWx-HLS products from 9 individual granules, producing a composite image for each date. The mosaicking applied prioritizazed pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files. Suggested UseBinary Water (BWTR) Layer Description: The binary water layer is derived from the WTR layer as a union of water classes (open water and partial surface water) into a binary map indicating areas with and without water. This layer is meant to provide users with a quick view for water/no-water. Invalid data classes (snow/ice, cloud/cloud shadow along with adjacent to cloud/cloud shadow, ocean masked, and fill value) are also provided to indicate areas in which the binary classification does not provide water/no-water classification.Binary Water (BWTR) Layer Values:0: Not Water - an area with valid reflectance data that is not water (class 1) and not snow/ice (class 252), cloud/cloud shadow (class 253), or ocean masked (class 254) (suggested color: #ffffff)1: Water - an area classified as \"open water\" or \"partial surface water\" (suggested color: #0000ff)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 8/9 satellite.Resolution:30 metersOPERA DSWx-HLS data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250630_NewMexico_Floods/. 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 (mary.grace.p.bato@jpl.nasa.gov)Alexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)Steven Chan (steventsz.k.chan@jpl.nasa.gov)David Bekaert (david.bekaert@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's Jet Propulsion Laboratory.NASA JPL-Caltech ARIA/OPERA Team==================Esri REST Endpoint:See URL on the right side of the page.WMS Endpoint:Data Download:OPERA_DSWx-HLS_V1_BWTR_2025-06-23.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 23, 2025. OPERA_DSWx-HLS_V1_BWTR_2025-06-26.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 26, 2025.OPERA_DSWx-HLS_V1_BWTR_2025-06-28.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 28, 2025.Last Update 30 June 2025", "Subject": "OPERA Dynamic Surface Water eXtent from Harmonized Landsat and Sentinel-2 (DSWx-HLS).", "Category": "", "AntialiasingMode": "Fast", "TextAntialiasingMode": "Force", "Version": "2.9.0", "Keywords": "disturbance,vegetation disturbance,vegetation loss,land cover,OPERA,ARIA,Wildfires,Sentinel-1,NASA,NASA Disasters Program,New Mexico" }, "supportsQueryDomains": true, "capabilities": "Query,Map,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", "serviceItemId": "0fc8efe4a78c4d538353070124587b31" }