{
 "currentVersion": 10.91,
 "cimVersion": "2.9.0",
 "serviceDescription": "<div style='text-align:Left;'><div><b>Date of Images<\/b><\/div><div><i>Post-Event: <\/i>July 4, 2025; July 5, 2025, July 6, 2025; July 7, 2025; July 8, 2025<br /><br /><i>Pre-Event: <\/i>2025-06-17, 2025-06-19, 2025-06-22, 2025-06-27, 2025-06-29, July 1, 2025, July 2, 2025<\/div><div><br /><\/div><div><b>Summary:<\/b><\/div><div><b><br /><\/b><\/div><div>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 impacted by the flooding in Central Texas on July 4, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product and Sentinel-1 (DSWx-S1). <\/div><div><br /><\/div><div>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.<\/div><div><br /><\/div><div>The OPERA DSWx-HLS and DSWx-S1 were used to identify surface water for the flooding event. The images provided are a mosaic of aforementioned OPERA 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. <\/div><div><br /><\/div><div>Binary 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.<\/div><div><br /><\/div><div>Binary Water (BWTR) Layer Values:<\/div><div><ul><li>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)<\/li><li>1: Water - an area classified as open water or partial surface water (suggested color: #0000ff)<\/li><li>252: Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data (suggested color: #00ffff)<\/li><li>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)<\/li><li>254: Ocean Masked - an area identified as ocean using a shoreline database with an added margin (suggested color: #00007f)<\/li><li>255: No data (suggested color: transparent)<\/li><\/ul><\/div><div><b>Satellite/Sensor:<\/b><\/div><div><ul><li><i>DSWx-HLS:<\/i> 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.<\/li><li><i>DSWx-S1: <\/i>Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite.<\/li><\/ul><\/div><div><br /><\/div><div><b>Resolution:<\/b><\/div><div>30 meters<\/div><div><br /><\/div><div><i>OPERA DSWx-HLS data availability<\/i><\/div><div>The post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250704_Texas_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. <\/div><div><br /><\/div><div><div>OPERA DSWx-S1 data availability<\/div><div>The post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250704_Texas_Floods/DSWx-S1/.  The OPERA DSWx-S1 products have been in production since September 2024, 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. <\/div><\/div><div><br /><\/div><div>For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov. <\/div><div>For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/.  <\/div><div><br /><\/div><div>Product POCs:<\/div><div>Mary Grace Bato (<a target='_blank'>mary.grace.p.bato@jpl.nasa.gov<\/a>)<\/div><div>Cole Speed (<a href='mailto:cole.speed@jpl.nasa.gov' rel='nofollow ugc' target='_blank'>cole.speed@jpl.nasa.gov<\/a>)<\/div><div>Karen An (<a href='mailto:karen.an@jpl.nasa.gov' rel='nofollow ugc' target='_blank'>karen.an@jpl.nasa.gov<\/a>)<\/div><div>Ines Fenni (<a href='mailto:ines.fenni@jpl.nasa.gov' rel='nofollow ugc' target='_blank'>ines.fenni@jpl.nasa.gov<\/a>)<\/div><div>Steven Chan (<a href='mailto:steventsz.k.chan@jpl.nasa.gov' rel='nofollow ugc' target='_blank'>steventsz.k.chan@jpl.nasa.gov<\/a>)<\/div><div><br /><\/div><div><b>Credits:<\/b><\/div><div>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.<\/div><div><br /><\/div><div>Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency 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.<\/div><div><br /><\/div><div>NASA JPL-Caltech ARIA/OPERA Team<\/div><div><br /><\/div><div>==================<\/div><div><b>Esri REST Endpoint:<\/b><\/div><div>See URL to the right<\/div><div><br /><\/div><div><b>WMS Endpoint:<\/b><\/div><div><a href='https://maps.disasters.nasa.gov/ags03/services/texas_flood_202507/hls_s1_dswx/MapServer/WMSServer' rel='nofollow ugc' target='_blank'>https://maps.disasters.nasa.gov/ags03/services/texas_flood_202507/hls_s1_dswx/MapServer/WMSServer<\/a><\/div><div><br /><\/div><div><b>Data Download:<\/b><\/div><div><i>DSWx-HLS<\/i><\/div><div><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-HLS/OPERA_L3_DSWX-HLS_V1_BWTR_2025-06-27_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-HLS_V1_BWTR_2025-06-27_mosaic.tif<\/a>: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 27, 2025. <\/div><div><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-HLS/OPERA_L3_DSWX-HLS_V1_BWTR_2025-06-29_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-HLS_V1_BWTR_2025-06-29_mosaic.tif<\/a>: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 29, 2025.<br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-HLS/OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-02_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-02_mosaic.tif<\/a>: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 2, 2025.<br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-HLS/OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-05_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-05_mosaic.tif<\/a>: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 5, 2025.<br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-HLS/OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-06_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-06_mosaic.tif<\/a>: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 6, 2025.<br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-HLS/OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-07_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-07_mosaic.tif<\/a>: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 7, 2025.<br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-HLS/OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-08_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-08_mosaic.tif<\/a>: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 8, 2025.<\/div><div><br /><\/div><div><i>DSWx-S1<\/i><\/div><div><div><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-S1/OPERA_L3_DSWX-S1_V1_BWTR_2025-06-17_mosaic.tif' rel='nofollow ugc' style='font-style:normal;' target='_blank'>OPERA_L3_DSWX-S1_V1_BWTR_2025-06-17_mosaic.tif<\/a><i>: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 17, 2025.<\/i><br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-S1/OPERA_L3_DSWX-S1_V1_BWTR_2025-06-19_mosaic.tif' rel='nofollow ugc' style='font-style:normal;' target='_blank'>OPERA_L3_DSWX-S1_V1_BWTR_2025-06-19_mosaic.tif<\/a><i>: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 19, 2025.<\/i><br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-S1/OPERA_L3_DSWX-S1_V1_BWTR_2025-06-22_mosaic.tif' rel='nofollow ugc' style='font-style:normal;' target='_blank'>OPERA_L3_DSWX-S1_V1_BWTR_2025-06-22_mosaic.tif<\/a><i>: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 22, 2025. <\/i><br /><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-S1/OPERA_L3_DSWX-S1_V1_BWTR_2025-07-01_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-S1_V1_BWTR_2025-07-01_mosaic.tif:<\/a><i> <\/i><i>DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 1, 2025.<br /><\/i><a href='https://d1z62tir4fw0q0.cloudfront.net/20250704_Texas_Floods/DSWx-S1/OPERA_L3_DSWX-S1_V1_BWTR_2025-07-04_mosaic.tif' rel='nofollow ugc' target='_blank'>OPERA_L3_DSWX-S1_V1_BWTR_2025-07-04_mosaic.tif<\/a><i>: <\/i><i>DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 4, 2025.<\/i><\/div><\/div><div><br /><\/div><div>Last Update 10 July 2025<\/div><\/div>",
 "mapName": "hls_s1_dswx",
 "description": "Date of ImagesPost-Event: July 4, 2025; July 5, 2025, July 6, 2025; July 7, 2025; July 8, 2025Pre-Event: 2025-06-17, 2025-06-19, 2025-06-22, 2025-06-27, 2025-06-29, July 1, 2025, July 2, 2025Summary: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 impacted by the flooding in Central Texas on July 4, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product and Sentinel-1 (DSWx-S1). 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.The OPERA DSWx-HLS and DSWx-S1 were used to identify surface water for the flooding event. The images provided are a mosaic of aforementioned OPERA 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. Binary 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:DSWx-HLS: 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.DSWx-S1: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite.Resolution:30 metersOPERA DSWx-HLS data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250704_Texas_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. OPERA DSWx-S1 data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250704_Texas_Floods/DSWx-S1/.  The OPERA DSWx-S1 products have been in production since September 2024, 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:Mary Grace Bato (mary.grace.p.bato@jpl.nasa.gov)Cole Speed (cole.speed@jpl.nasa.gov)Karen An (karen.an@jpl.nasa.gov)Ines Fenni (ines.fenni@jpl.nasa.gov)Steven Chan (steventsz.k.chan@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.Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency 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 to the rightWMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/texas_flood_202507/hls_s1_dswx/MapServer/WMSServerData Download:DSWx-HLSOPERA_L3_DSWX-HLS_V1_BWTR_2025-06-27_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 27, 2025. OPERA_L3_DSWX-HLS_V1_BWTR_2025-06-29_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 29, 2025.OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-02_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 2, 2025.OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-05_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 5, 2025.OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-06_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 6, 2025.OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-07_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 7, 2025.OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-08_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 8, 2025.DSWx-S1OPERA_L3_DSWX-S1_V1_BWTR_2025-06-17_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 17, 2025.OPERA_L3_DSWX-S1_V1_BWTR_2025-06-19_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 19, 2025.OPERA_L3_DSWX-S1_V1_BWTR_2025-06-22_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 22, 2025. OPERA_L3_DSWX-S1_V1_BWTR_2025-07-01_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 1, 2025.OPERA_L3_DSWX-S1_V1_BWTR_2025-07-04_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 4, 2025.Last Update 10 July 2025",
 "copyrightText": "NASA JPL-Caltech ARIA/OPERA Team",
 "supportsDynamicLayers": true,
 "layers": [
  {
   "id": 0,
   "name": "Post-Event",
   "parentLayerId": -1,
   "defaultVisibility": true,
   "subLayerIds": [
    1,
    2,
    3,
    4,
    5,
    6,
    7,
    8
   ],
   "minScale": 0,
   "maxScale": 0,
   "type": "Group Layer",
   "supportsDynamicLegends": false
  },
  {
   "id": 1,
   "name": "July 12, 2025 [HLS]",
   "parentLayerId": 0,
   "defaultVisibility": true,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 2,
   "name": "July 11, 2025 [Sentinel-1]",
   "parentLayerId": 0,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 3,
   "name": "July 10, 2025 [HLS]",
   "parentLayerId": 0,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 4,
   "name": "July 9, 2025 [HLS]",
   "parentLayerId": 0,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 5,
   "name": "July 8, 2025 [HLS]",
   "parentLayerId": 0,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 6,
   "name": "July 7, 2025 [HLS]",
   "parentLayerId": 0,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 7,
   "name": "July 6, 2025 [HLS]",
   "parentLayerId": 0,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 8,
   "name": "July 5, 2025 [HLS]",
   "parentLayerId": 0,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 9,
   "name": "Pre-Event",
   "parentLayerId": -1,
   "defaultVisibility": true,
   "subLayerIds": [
    10,
    11,
    12,
    13,
    14,
    15,
    16,
    17
   ],
   "minScale": 0,
   "maxScale": 0,
   "type": "Group Layer",
   "supportsDynamicLegends": false
  },
  {
   "id": 10,
   "name": "July 4, 2025 [Sentinel-1]",
   "parentLayerId": 9,
   "defaultVisibility": true,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 11,
   "name": "July 2, 2025 [HLS]",
   "parentLayerId": 9,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 12,
   "name": "July 1, 2025 [Sentinel-1]",
   "parentLayerId": 9,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 13,
   "name": "June 29, 2025 [HLS]",
   "parentLayerId": 9,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 14,
   "name": "June 27, 2025 [HLS]",
   "parentLayerId": 9,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 15,
   "name": "June 22, 2025 [Sentinel-1]",
   "parentLayerId": 9,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 16,
   "name": "June 19, 2025 [Sentinel-1]",
   "parentLayerId": 9,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  },
  {
   "id": 17,
   "name": "June 17, 2025 [Sentinel-1]",
   "parentLayerId": 9,
   "defaultVisibility": false,
   "subLayerIds": null,
   "minScale": 0,
   "maxScale": 0,
   "type": "Raster Layer",
   "supportsDynamicLegends": true
  }
 ],
 "tables": [],
 "spatialReference": {
  "wkid": 32614,
  "latestWkid": 32614,
  "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": 279510,
  "ymin": 3139192.6462395545,
  "xmax": 730290,
  "ymax": 3551047.3537604455,
  "spatialReference": {
   "wkid": 32614,
   "latestWkid": 32614,
   "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": 2990220,
  "xmax": 809760,
  "ymax": 3600000,
  "spatialReference": {
   "wkid": 32614,
   "latestWkid": 32614,
   "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": "dswx_hls",
  "Author": "",
  "Comments": "Date of Images:Pre-Event: June 29, 2025; June 27, 2025Date 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 south central Texas impacted by floods in early July 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 distinct dates (June 26, 2025 and June 27, 2025) prior to flooding in south-central Texas. Post-event surface water information is forthcoming. The images provided are a mosaic of OPERA DSWx-HLS products from several individual granules, 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.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:https://maps.disasters.nasa.gov/ags03/services/NM_FIre_202506/dswx_hls/MapServer/WMSServerData Download:https://aria-share.jpl.nasa.gov/20250704_Texas_Floods/DSWx-HLS/Last Update 8 July 2025",
  "Subject": "",
  "Category": "",
  "AntialiasingMode": "Fast",
  "TextAntialiasingMode": "Force",
  "Version": "2.9.0",
  "Keywords": "OPERA,ARIA,Wildfires,NASA,NASA Disasters Program,hls,water,Flood,Surface Water,DSWx,Sentinel-2,Texas"
 },
 "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": "3e0a81a9ecb0445ea3d3f21f0f937d5b"
}