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 "serviceDescription": "<DIV STYLE=\"text-align:Left;\"><DIV><DIV><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>Date of Images:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN>20260706T0042, 20260718T0042 (UTC) (YYYYMMDD: HHMM)<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>Date of Next Image:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN>No additional images are being delivered<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>Summary: <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 16 0;\"><SPAN><SPAN>The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at the Jet Propulsion Laboratory, California Institute of Technology produced flood mapping products using the OPERA Dynamic Surface Water Extent from Sentinel-1 (DSWx-S1) dataset. These products provide a rapid assessment of surface water extent to support emergency response and situational awareness during flood events.<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 0 0;\"><SPAN><SPAN>The dataset provided includes two products:<\/SPAN><\/SPAN><\/P><OL STYLE=\"margin:0 0 0 0;padding:0 0 0 0;\"><LI><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Surface Water Extent maps on individual dates<\/SPAN><\/SPAN><\/P><\/LI><LI><P STYLE=\"margin:0 0 16 0;\"><SPAN><SPAN>Water Gain maps, showing areas where water increased between two dates<\/SPAN><\/SPAN><\/P><\/LI><\/OL><P STYLE=\"margin:16 0 0 0;\"><SPAN><SPAN>Dates and Input Data:<\/SPAN><\/SPAN><\/P><UL STYLE=\"margin:0 0 0 0;padding:0 0 0 0;\"><LI><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Pre-event image: July 06, 2026<\/SPAN><\/SPAN><\/P><\/LI><LI><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Post-event image: July 18, 2026<\/SPAN><\/SPAN><\/P><\/LI><LI><P STYLE=\"margin:0 0 16 0;\"><SPAN><SPAN>Products were generated using OPERA DSWx-S1 satellite imagery and mosaicked across tiles to provide continuous spatial coverage.<\/SPAN><\/SPAN><\/P><\/LI><\/UL><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\"><SPAN>Product Description:<\/SPAN><\/SPAN><SPAN /><SPAN><SPAN>Surface water is identified from Synthetic Aperture Radar (SAR) satellite imagery and mapped at 30 m spatial resolution. Maximum Surface Water Extent maps show all locations where water was detected at any time during the analysis period.<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\"><SPAN>Caveats and Limitations:<\/SPAN><\/SPAN><SPAN /><SPAN><SPAN>Detecting inundation under vegetation, in the urban perimeter, in arid environments, and along water body edges is known to be challenging. The local accuracy of the flood maps in such environments may be impacted. Additionally, certain pixels within this product have been manually reclassified as water after expert interpretation and direct comparison with the input SAR backscatter. These results are intended to support rapid emergency 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><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\"><SPAN>Suggested Use: <\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN>Water (WTR) Layer: The OPERA DSWx-S1 Water (WTR) product classifies the Sentinel-1 (S1) input imagery into \"not water\", \"open surface water\", and \"inundated vegetation\u201d, masks include Height Above Nearest Drainage (HAND) mask and layover/shadow mask), or no data classes.<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>File names:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 48;\"><SPAN><SPAN>OPERA_L3_DSWX-S1_V1_WTR_20260706T0042A_mosaic.tif<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 48;\"><SPAN><SPAN>OPERA_L3_DSWX-S1_V1_WTR_20260718T0042A_mosaic.tif<\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 0 0;\"><SPAN><SPAN>WTR Layer Values:<\/SPAN><\/SPAN><\/P><UL><LI><P><SPAN><SPAN>0: Not Water - an area with valid data that is not open water (class 1), inundated vegetation (class 3), height above nearest drainage masked (class 250), or layover/shadow masked (class 251) (suggested color: #ffffff)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><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><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>3: Inundated vegetation - 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: #00ff00)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>250: Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold (suggested color: #c8c8c8)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>251: Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC-S1 products (suggested color: #808080)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>255: No data (suggested color: transparent)<\/SPAN><\/SPAN><\/P><\/LI><\/UL><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN>Water Gain Layer: The water gain layer shows any location where there was a change from \"not water\" to \"inundated vegetation\", \"not water\" to \"open surface water\", or \"inundated vegetation\" to \"open surface water\" between two OPERA DSWx-S1 products.<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 0 0;\"><SPAN><SPAN>File names: <\/SPAN><\/SPAN><\/P><P STYLE=\"text-indent:48;margin:0 0 16 0;\"><SPAN><SPAN>OPERA_L3_DSWX-S1_V1_WTR_20260718T0042A_20260706T0042A_water_gain.tif<\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN><SPAN>Water Gain Layer Values:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>0: No Change or Water Loss- an area that had no change (e.g., open water in both images) or water loss (e.g., open water to not water). Masked pixels are set to No data. (suggested color: #ffffff)<\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN>1: Water Gain - an area that gained water in the most recent image. This includes change from Not Water to Inundated Vegetation, Not Water to Open Water, and Inundated Vegetation to Open Water. (suggested color: #ff15e4)<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN><SPAN>Satellite/Sensor/Resolution: <\/SPAN><\/SPAN><\/P><UL><LI><P><SPAN><SPAN>Satellite/Sensor: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A/C/D satellites.<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>Spatial Resolution: 30 meters<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>Temporal Resolution: sub-daily to bi-weekly<\/SPAN><\/SPAN><\/P><\/LI><\/UL><P STYLE=\"margin:0 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\">Methodology:<\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>DSWx-S1 Algorithm Theoretical Basis Document (ATBD): <\/SPAN><\/SPAN><A href=\"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/opera/atbd/D-108763_Rev_A_OPERA_DSWx_S1_NI_ATBD_20240530_SIGNED.pdf\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/opera/atbd/D-108763_Rev_A_OPERA_DSWx_S1_NI_ATBD_20240530_SIGNED.pdf<\/SPAN><\/SPAN><\/A><SPAN><SPAN> <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>DSWx website: <\/SPAN><\/SPAN><A href=\"https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite/\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite/<\/SPAN><\/SPAN><\/A><SPAN><SPAN> <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>Detailed workflows and tools for the disaster products are on our public github page: <\/SPAN><\/SPAN><A href=\"https://github.com/OPERA-Cal-Val/disasters\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>https://github.com/OPERA-Cal-Val/disasters<\/SPAN><\/SPAN><\/A><SPAN> <\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN><SPAN>Credits: <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>The product contains modified Copernicus Sentinel data, processed by the European Space Agency and analyzed by the NASA-JPL/Caltech ARIA/OPERA team. The DSWx 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><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\">Product POCs:<\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Cole Speed (<\/SPAN><\/SPAN><A href=\"mailto:cole.speed@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>cole.speed@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN>)<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Jungkyo Jung (<\/SPAN><\/SPAN><A href=\"mailto:jungkyo.jung@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>jungkyo.jung@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN>)<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Mary Grace Bato (<\/SPAN><\/SPAN><A href=\"mailto:bato@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>bato@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN>)<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Alexander Handwerger (<\/SPAN><\/SPAN><A href=\"mailto:alexander.handwerger@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>alexander.handwerger@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN> )<\/SPAN><\/SPAN><\/P><P><SPAN /><\/P><\/DIV><\/DIV><\/DIV>",
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 "description": "<DIV STYLE=\"text-align:Left;\"><DIV><DIV><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>Date of Images:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN>20260706T0042, 20260718T0042 (UTC) (YYYYMMDD: HHMM)<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>Date of Next Image:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN>No additional images are being delivered<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>Summary: <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 16 0;\"><SPAN><SPAN>The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at the Jet Propulsion Laboratory, California Institute of Technology produced flood mapping products using the OPERA Dynamic Surface Water Extent from Sentinel-1 (DSWx-S1) dataset. These products provide a rapid assessment of surface water extent to support emergency response and situational awareness during flood events.<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 0 0;\"><SPAN><SPAN>The dataset provided includes two products:<\/SPAN><\/SPAN><\/P><OL STYLE=\"margin:0 0 0 0;padding:0 0 0 0;\"><LI><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Surface Water Extent maps on individual dates<\/SPAN><\/SPAN><\/P><\/LI><LI><P STYLE=\"margin:0 0 16 0;\"><SPAN><SPAN>Water Gain maps, showing areas where water increased between two dates<\/SPAN><\/SPAN><\/P><\/LI><\/OL><P STYLE=\"margin:16 0 0 0;\"><SPAN><SPAN>Dates and Input Data:<\/SPAN><\/SPAN><\/P><UL STYLE=\"margin:0 0 0 0;padding:0 0 0 0;\"><LI><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Pre-event image: July 06, 2026<\/SPAN><\/SPAN><\/P><\/LI><LI><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Post-event image: July 18, 2026<\/SPAN><\/SPAN><\/P><\/LI><LI><P STYLE=\"margin:0 0 16 0;\"><SPAN><SPAN>Products were generated using OPERA DSWx-S1 satellite imagery and mosaicked across tiles to provide continuous spatial coverage.<\/SPAN><\/SPAN><\/P><\/LI><\/UL><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\"><SPAN>Product Description:<\/SPAN><\/SPAN><SPAN /><SPAN><SPAN>Surface water is identified from Synthetic Aperture Radar (SAR) satellite imagery and mapped at 30 m spatial resolution. Maximum Surface Water Extent maps show all locations where water was detected at any time during the analysis period.<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\"><SPAN>Caveats and Limitations:<\/SPAN><\/SPAN><SPAN /><SPAN><SPAN>Detecting inundation under vegetation, in the urban perimeter, in arid environments, and along water body edges is known to be challenging. The local accuracy of the flood maps in such environments may be impacted. Additionally, certain pixels within this product have been manually reclassified as water after expert interpretation and direct comparison with the input SAR backscatter. These results are intended to support rapid emergency 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><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\"><SPAN>Suggested Use: <\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN>Water (WTR) Layer: The OPERA DSWx-S1 Water (WTR) product classifies the Sentinel-1 (S1) input imagery into \"not water\", \"open surface water\", and \"inundated vegetation\u201d, masks include Height Above Nearest Drainage (HAND) mask and layover/shadow mask), or no data classes.<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:0 0 0 0;\"><SPAN><SPAN>File names:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 48;\"><SPAN><SPAN>OPERA_L3_DSWX-S1_V1_WTR_20260706T0042A_mosaic.tif<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 48;\"><SPAN><SPAN>OPERA_L3_DSWX-S1_V1_WTR_20260718T0042A_mosaic.tif<\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 0 0;\"><SPAN><SPAN>WTR Layer Values:<\/SPAN><\/SPAN><\/P><UL><LI><P><SPAN><SPAN>0: Not Water - an area with valid data that is not open water (class 1), inundated vegetation (class 3), height above nearest drainage masked (class 250), or layover/shadow masked (class 251) (suggested color: #ffffff)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><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><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>3: Inundated vegetation - 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: #00ff00)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>250: Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold (suggested color: #c8c8c8)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>251: Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC-S1 products (suggested color: #808080)<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>255: No data (suggested color: transparent)<\/SPAN><\/SPAN><\/P><\/LI><\/UL><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN>Water Gain Layer: The water gain layer shows any location where there was a change from \"not water\" to \"inundated vegetation\", \"not water\" to \"open surface water\", or \"inundated vegetation\" to \"open surface water\" between two OPERA DSWx-S1 products.<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 0 0;\"><SPAN><SPAN>File names: <\/SPAN><\/SPAN><\/P><P STYLE=\"text-indent:48;margin:0 0 16 0;\"><SPAN><SPAN>OPERA_L3_DSWX-S1_V1_WTR_20260718T0042A_20260706T0042A_water_gain.tif<\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN><SPAN>Water Gain Layer Values:<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>0: No Change or Water Loss- an area that had no change (e.g., open water in both images) or water loss (e.g., open water to not water). Masked pixels are set to No data. (suggested color: #ffffff)<\/SPAN><\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN>1: Water Gain - an area that gained water in the most recent image. This includes change from Not Water to Inundated Vegetation, Not Water to Open Water, and Inundated Vegetation to Open Water. (suggested color: #ff15e4)<\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN><SPAN>Satellite/Sensor/Resolution: <\/SPAN><\/SPAN><\/P><UL><LI><P><SPAN><SPAN>Satellite/Sensor: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A/C/D satellites.<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>Spatial Resolution: 30 meters<\/SPAN><\/SPAN><\/P><\/LI><LI><P><SPAN><SPAN>Temporal Resolution: sub-daily to bi-weekly<\/SPAN><\/SPAN><\/P><\/LI><\/UL><P STYLE=\"margin:0 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\">Methodology:<\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>DSWx-S1 Algorithm Theoretical Basis Document (ATBD): <\/SPAN><\/SPAN><A href=\"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/opera/atbd/D-108763_Rev_A_OPERA_DSWx_S1_NI_ATBD_20240530_SIGNED.pdf\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/opera/atbd/D-108763_Rev_A_OPERA_DSWx_S1_NI_ATBD_20240530_SIGNED.pdf<\/SPAN><\/SPAN><\/A><SPAN><SPAN> <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>DSWx website: <\/SPAN><\/SPAN><A href=\"https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite/\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite/<\/SPAN><\/SPAN><\/A><SPAN><SPAN> <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>Detailed workflows and tools for the disaster products are on our public github page: <\/SPAN><\/SPAN><A href=\"https://github.com/OPERA-Cal-Val/disasters\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>https://github.com/OPERA-Cal-Val/disasters<\/SPAN><\/SPAN><\/A><SPAN> <\/SPAN><\/P><P STYLE=\"font-weight:bold;margin:16 0 16 0;\"><SPAN><SPAN>Credits: <\/SPAN><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN><SPAN>The product contains modified Copernicus Sentinel data, processed by the European Space Agency and analyzed by the NASA-JPL/Caltech ARIA/OPERA team. The DSWx 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><\/SPAN><\/P><P STYLE=\"margin:16 0 16 0;\"><SPAN STYLE=\"font-weight:bold;\">Product POCs:<\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Cole Speed (<\/SPAN><\/SPAN><A href=\"mailto:cole.speed@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>cole.speed@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN>)<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Jungkyo Jung (<\/SPAN><\/SPAN><A href=\"mailto:jungkyo.jung@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>jungkyo.jung@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN>)<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Mary Grace Bato (<\/SPAN><\/SPAN><A href=\"mailto:bato@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>bato@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN>)<\/SPAN><\/SPAN><\/P><P STYLE=\"margin:0 0 0 0;\"><SPAN><SPAN>Alexander Handwerger (<\/SPAN><\/SPAN><A href=\"mailto:alexander.handwerger@jpl.nasa.gov\" STYLE=\"text-decoration:underline;\"><SPAN STYLE=\"text-decoration:underline;\"><SPAN>alexander.handwerger@jpl.nasa.gov<\/SPAN><\/SPAN><\/A><SPAN><SPAN> )<\/SPAN><\/SPAN><\/P><P><SPAN /><\/P><\/DIV><\/DIV><\/DIV>",
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