DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_opera_dswx

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Service Description: <div style='text-align:Left;'>Dates of Images:20180914T1609, 20180917T1553, 20180918T1549, 20180919T1540, 20180920T1539 (GMT) (YYYYMMDD: HHMM) Summary: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 Harmonized Landsat Sentinel-2 (DSWx-HLS) dataset. These products provide a rapid assessment of surface water extent to support emergency response and situational awareness during flood events.The dataset provided includes two products:<ol><li>Surface Water Extent maps on individual dates</li><li>Maximum Surface Water Extent maps, showing the full extent of water observed over a defined time period</li></ol>Dates and Input Data:<ul><li>Flood images: September 14, 2018, September 17, 2018, September 18, 2018, September 19, 2018, September 20, 2018 </li><li>Products are generated from OPERA DSWx-HLS satellite imagery and mosaicked across tiles to provide continuous coverage.</li></ul>Product Description: Surface water is identified from optical 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.Caveats and Limitations: We note the HLS snow/ice mask often misclassifies sediment rich water as snow/ice. 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. 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. 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.Water (WTR) Layer Values:File names: <ul><li>OPERA_L3_DSWX-HLS_V1_WTR_20180914T1609_mosaic.tif,</li><li>OPERA_L3_DSWX-HLS_V1_WTR_20180917T1553_mosaic.tif,</li><li>OPERA_L3_DSWX-HLS_V1_WTR_20180918T1549_mosaic.tif,</li><li>OPERA_L3_DSWX-HLS_V1_WTR_20180919T1540_mosaic.tif,</li><li>OPERA_L3_DSWX-HLS_V1_WTR_20180920T1539_mosaic.tif</li></ul><div>Values:</div><ul><li>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 a not water (class 0) where land cover masking is applied. (suggested color: #ffffff)</li><li>1: Open Water - an area that is entirely water and unobstructed to the sensor, including obstructions by vegetation, terrain, and buildings. (suggested color: #0000ff)</li><li>2: Partial Surface Water - an inundated area that is at least 20% and less than 100% open water. This may be referred to as “subpixel inundation” when referring to a pixel’s area. Examples include wetlands, water bodies with emergent vegetation, and pixels bisected by coastlines. (suggested color: #b4d5f4)</li><li>252: Snow/Ice/Sediment Rich Water - 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>Maximum Water Extent Layer Values:File names: ARIA-OPERA_L3_DSWX-HLS_V1_WTR_20180830T1604_20180920T1539_max_extent.tif<ul><li>0: Not Water. No water was detected within the time period of the images. Masked pixels are set to No data. (suggested color: #ffffff)</li><li>1: Water - an area where open water or partial surface water was detected during the time period of the images. (suggested color: #ff15e4)</li></ul>Satellite/Sensor/Resolution:Satellite/Sensor: Harmonized Landsat Sentinel-2 (HLS) derived from MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B/2C satellites and Operational Land Imager 2 (OLI-2) on NASA/USGS Landsat 8/9 satellites.Spatial Resolution: 30 metersTemporal Resolution: Sub-weekly Esri REST Endpoint:See URL to the right.WMS Endpoint:<a href='https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_opera_dswx_hls/MapServer/WMSServer' target='_blank'>https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_opera_dswx_hls/MapServer/WMSServer</a></div>

Map Name: dswx-hls

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Max Extent (August 30-September 20, 2018) (0)
September 20, 2018 (1)
September 19, 2018 (2)
- OPERA_L3_DSWX-HLS_V1_WTR_20180919T1540_mosaic.tif (3)
September 18, 2018 (4)
- OPERA_L3_DSWX-HLS_V1_WTR_20180918T1549_mosaic.tif (5)
September 17, 2018 (6)
- OPERA_L3_DSWX-HLS_V1_WTR_20180917T1553_mosaic.tif (7)
September 14, 2018 (8)
- OPERA_L3_DSWX-HLS_V1_WTR_20180914T1609_mosaic.tif (9)

Description: Dates of Images:20180914T1609, 20180917T1553, 20180918T1549, 20180919T1540, 20180920T1539 (GMT) (YYYYMMDD: HHMM)Summary: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 Harmonized Landsat Sentinel-2 (DSWx-HLS) dataset. These products provide a rapid assessment of surface water extent to support emergency response and situational awareness during flood events.The dataset provided includes two products:Surface Water Extent maps on individual datesMaximum Surface Water Extent maps, showing the full extent of water observed over a defined time periodDates and Input Data:Flood images: September 14, 2018, September 17, 2018, September 18, 2018, September 19, 2018, September 20, 2018 Products are generated from OPERA DSWx-HLS satellite imagery and mosaicked across tiles to provide continuous coverage.Product Description: Surface water is identified from optical 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.Caveats and Limitations: We note the HLS snow/ice mask often misclassifies sediment rich water as snow/ice. 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. 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. 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.Water (WTR) Layer Values:File names: OPERA_L3_DSWX-HLS_V1_WTR_20180914T1609_mosaic.tif,OPERA_L3_DSWX-HLS_V1_WTR_20180917T1553_mosaic.tif,OPERA_L3_DSWX-HLS_V1_WTR_20180918T1549_mosaic.tif,OPERA_L3_DSWX-HLS_V1_WTR_20180919T1540_mosaic.tif,OPERA_L3_DSWX-HLS_V1_WTR_20180920T1539_mosaic.tifValues: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 a 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 inundated area that is at least 20% and less than 100% open water. This may be referred to as “subpixel inundation” when referring to a pixel’s area. Examples include wetlands, water bodies with emergent vegetation, and pixels bisected by coastlines. (suggested color: #b4d5f4)252: Snow/Ice/Sediment Rich Water - 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)Maximum Water Extent Layer Values:File names: ARIA-OPERA_L3_DSWX-HLS_V1_WTR_20180830T1604_20180920T1539_max_extent.tif0: Not Water. No water was detected within the time period of the images. Masked pixels are set to No data. (suggested color: #ffffff)1: Water - an area where open water or partial surface water was detected during the time period of the images. (suggested color: #ff15e4)Satellite/Sensor/Resolution:Satellite/Sensor: Harmonized Landsat Sentinel-2 (HLS) derived from MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B/2C satellites and Operational Land Imager 2 (OLI-2) on NASA/USGS Landsat 8/9 satellites.Spatial Resolution: 30 metersTemporal Resolution: Sub-weeklyEsri REST Endpoint:See URL to the right.WMS Endpoint:https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_opera_dswx_hls/MapServer/WMSServer

Service Item Id: e1432445fd2b4f5ab178392312dbda19

Copyright Text: NASA-JPL/Caltech ARIA/OPERA team, Copernicus Sentinel Data, Landsat, NASA Disasters

Spatial Reference: 32617 (32617) LatestVCSWkid(0)

Single Fused Map Cache: false

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Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

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Supports Dynamic Layers: true

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MaxSelectionCount: 2000

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Supported Query Formats: JSON, geoJSON, PBF

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Supports Datum Transformation: true

Child Resources: Info Dynamic Layer

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DISASTERS_EX2601_201809_HURRICANE_FLORENCE/ex2601_opera_dswx_hls (MapServer)