DISASTERS_202507_FLOOD_TX/202507_opera_dswx

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Service Description:

Date of Images

DSWx-HLS (Optical)

Pre-Event: June 27, 2025; June 29, 2025; July 2, 2025

Post-Event: July 5, 2025; July 6, 2025; July 7, 2025; July 8, 2025; July 9, 2025; July 10, 2025; July 12, 2025

DSWx-S1 (Radar)

Pre-Event: June 17, 2025; June 19, 2025; June 22, 2025; July 1, 2025; July 4, 2025

Post-Event: July 11, 2025

Summary:

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 and Sentinel-2 (HLS) and Sentinel-1 (DSWx-S1) products.

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 (optical) and DSWx-S1 (radar) products 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 (DSWx-HLS)/inundated vegetation (DSWx-S1). (suggested color: #0000ff)

250 (for DSWx-S1): Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold. (suggested color: #c8c8c8)

251 (for DSWx-S1): 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)

252 (for DSWx-HLS): Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data. (suggested color: #00ffff)

253 (for DSWx-HLS): 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 (for DSWx-HLS): 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 optical satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8 optical satellite.

DSWx-S1: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite.

Resolution:

30 meters

OPERA DSWx-HLS (optical) data availability

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.

OPERA DSWx-S1 (radar) data availability

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.

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 (optical) 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 (radar) 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 right

WMS Endpoint:

https://maps.disasters.nasa.gov/ags03/services/texas_flood_202507/hls_s1_dswx/MapServer/WMSServer

Data Download:

DSWx-HLS (Optical)

Pre-Event:

- OPERA_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.

Post-Event:

- 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.

- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-09_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 9, 2025.

- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-10_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 10, 2025.

- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-12_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 12, 2025.

DSWx-S1 (Radar)

Pre-Event:

- OPERA_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.

Post-Event:

- OPERA_L3_DSWX-S1_V1_BWTR_2025-07-11_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 11, 2025.

Last Update 16 July 2025

Name: DISASTERS_202507_FLOOD_TX/202507_opera_dswx_hls

Description:

Date of Images

DSWx-HLS (Optical)

Pre-Event: June 27, 2025; June 29, 2025; July 2, 2025

Post-Event: July 5, 2025; July 6, 2025; July 7, 2025; July 8, 2025; July 9, 2025; July 10, 2025; July 12, 2025

DSWx-S1 (Radar)

Pre-Event: June 17, 2025; June 19, 2025; June 22, 2025; July 1, 2025; July 4, 2025

Post-Event: July 11, 2025

Summary:

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 (DSWx-HLS)/inundated vegetation (DSWx-S1). (suggested color: #0000ff)

250 (for DSWx-S1): Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold. (suggested color: #c8c8c8)

252 (for DSWx-HLS): Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data. (suggested color: #00ffff)

254 (for DSWx-HLS): 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 optical satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8 optical satellite.

DSWx-S1: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite.

Resolution:

30 meters

OPERA DSWx-HLS (optical) data availability

OPERA DSWx-S1 (radar) data availability

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:

NASA JPL-Caltech ARIA/OPERA Team

==================

Esri REST Endpoint:

See URL to the right

WMS Endpoint:

https://maps.disasters.nasa.gov/ags03/services/texas_flood_202507/hls_s1_dswx/MapServer/WMSServer

Data Download:

DSWx-HLS (Optical)

Pre-Event:

- OPERA_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.

Post-Event:

- 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.

- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-09_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 9, 2025.

- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-10_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 10, 2025.

- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-12_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 12, 2025.

DSWx-S1 (Radar)

Pre-Event:

- OPERA_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.

Post-Event:

- OPERA_L3_DSWX-S1_V1_BWTR_2025-07-11_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 11, 2025.

Last Update 16 July 2025

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 30.0

Pixel Size Y: 30.0

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Resampling: false

Copyright Text: NASA JPL-Caltech ARIA/OPERA Team

Service Data Type: esriImageServiceDataTypeRGB

Min Values: N/A

Max Values: N/A

Mean Values: N/A

Standard Deviation Values: N/A

Object ID Field: OBJECTID

Fields:

OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
Shape ( type: esriFieldTypeGeometry, alias: Shape )
Name ( type: esriFieldTypeString, alias: Name, length: 200 )
MinPS ( type: esriFieldTypeDouble, alias: MinPS )
MaxPS ( type: esriFieldTypeDouble, alias: MaxPS )
LowPS ( type: esriFieldTypeDouble, alias: LowPS )
HighPS ( type: esriFieldTypeDouble, alias: HighPS )
Category ( type: esriFieldTypeInteger, alias: Category , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...6 more... )
Tag ( type: esriFieldTypeString, alias: Tag, length: 100 )
GroupName ( type: esriFieldTypeString, alias: GroupName, length: 100 )
ProductName ( type: esriFieldTypeString, alias: ProductName, length: 100 )
CenterX ( type: esriFieldTypeDouble, alias: CenterX )
CenterY ( type: esriFieldTypeDouble, alias: CenterY )
ZOrder ( type: esriFieldTypeInteger, alias: ZOrder )
Date ( type: esriFieldTypeDateOnly, alias: Date )
Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos:

Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources: Info Statistics Key Properties Legend Raster Function Infos

Supported Operations: Export Image Query Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query GPS Info Find Images Image to Map Map to Image Measure from Image Image to Map Multiray Query Boundary Compute Pixel Location Compute Angles Validate Project

DISASTERS_202507_FLOOD_TX/202507_opera_dswx_hls (ImageServer)