| ArcGIS REST Services Directory | Login |
| Home > services > hurricane_idalia_2023 > aria_watermaps (MapServer) | Help | API Reference |
| JSON | SOAP | WMS |
Date of Images:
9/3/2023, 9/4/2023, 9/5/2023, 9/6/2023, 9/8/2023, 9/10/2023
Summary:
The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the Water Extent Maps using the OPERA Dynamic Surface Water Extent (DSWx) product suite depicting areas that were flooded due to Hurricane Idalia that hit Florida, USA on August 30, 2023. In particular, the flood maps were created by stitching relevant tiles from the Binary Water (B02_BWTR) layer covering the period of September 03-10, 2023. The OPERA DSWx-HLS Binary Water product classifies the Harmonized Landsat Sentinel-2 (HLS) input imagery into "not water" and "water".
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 flood extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response.
The post-processed products are available to download at https://aria-share.jpl.nasa.gov/202308_Florida_Hurricane_Idalia/DSWx-HLS/. The OPERA DSWx-HLS products 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 OPERA project and other products visit https://www.jpl.nasa.gov/go/opera.
For more information about the product, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite
Suggested Use:
The OPERA DSWx-HLS Binary Water product classifies the Harmonized Landsat Sentinel-2 (HLS) input imagery into "not water" and "water". The "cloud/cloud shadow" and "snow/ice" layers are direct inputs from the HLS FMask.
Areas with water detected are blue. An area classified as "open water" or "partial surface water" in the OPERA WTR layer.
Areas with clouds or cloud shadows are light gray. An area identified as cloud, cloud shadow, or adjacent to cloud/cloud shadow according to input HLS quality assurance (QA) data.
Areas labeled as ice/snow are cyan. An area identified as snow/ice according to input HLS quality assurance (QA) data.
Areas with no water detected are transparent. An area with valid data that is not water, snow/ice, cloud/cloud shadow, or ocean masked.
This layer is meant to provide users with a quick view for water/no-water. Invalid data classes (snow/ice and cloud/cloud shadow along with adjacent to cloud/cloud shadow) are also provided to indicate areas in which the binary classification does not provide water/no-water classification.
Note: Sediment rich water is sometimes misclassified as snow/ice by the HLS QA mask.
For more information about how the OPERA DSWx-HLS Binary Water product classifies data: https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdf
Satellite/Sensor:
Harmonized Landsat Sentinel-2 (HLS)
Landsat 8 Operational Land Imager (OLI)
MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites
Resolution:
30 meters
Credits:
NASA JPL-Caltech ARIA Team, NASA, NASA Disasters Program
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
Data Download:
https://aria-share.jpl.nasa.gov/202308_Florida_Hurricane_Idalia/DSWx-HLS/
Date of Images:
Post-Event: 9/3/2023, 9/4/2023, 9/5/2023, 9/6/2023, 9/8/2023, 9/10/2023
Pre-Event: 6/12/2023, 6/17/2023, 8/12/2023, 8/14/2023, 8/19/2023, 8/24/2023
Summary:
The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the Water Extent Maps using the OPERA Dynamic Surface Water Extent (DSWx) product suite depicting areas that were flooded due to Hurricane Idalia that hit Florida, USA on August 30, 2023. In particular, the flood maps were created by stitching relevant tiles from the Binary Water (B02_BWTR) layer covering the period of September 03-10, 2023. The OPERA DSWx-HLS Binary Water product classifies the Harmonized Landsat Sentinel-2 (HLS) input imagery into "not water" and "water".
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 flood extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response.
The post-processed products are available to download at https://aria-share.jpl.nasa.gov/202308_Florida_Hurricane_Idalia/DSWx-HLS/. The OPERA DSWx-HLS products 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 OPERA project and other products visit https://www.jpl.nasa.gov/go/opera.
For more information about the product, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite
Suggested Use:
The OPERA DSWx-HLS Binary Water product classifies the Harmonized Landsat Sentinel-2 (HLS) input imagery into "not water" and "water". The "cloud/cloud shadow" and "snow/ice" layers are direct inputs from the HLS FMask.
Areas with water detected are blue. An area classified as "open water" or "partial surface water" in the OPERA WTR layer.
Areas with clouds or cloud shadows are light gray. An area identified as cloud, cloud shadow, or adjacent to cloud/cloud shadow according to input HLS quality assurance (QA) data.
Areas labeled as ice/snow are dark gray. An area identified as snow/ice according to input HLS quality assurance (QA) data.
Areas with no water detected are transparent. An area with valid data that is not water, snow/ice, cloud/cloud shadow, or ocean masked.
This layer is meant to provide users with a quick view for water/no-water. Invalid data classes (snow/ice and cloud/cloud shadow along with adjacent to cloud/cloud shadow) are also provided to indicate areas in which the binary classification does not provide water/no-water classification.
Note: Sediment rich water is sometimes misclassified as snow/ice by the HLS QA mask.
For more information about how the OPERA DSWx-HLS Binary Water product classifies data: https://d2pn8kiwq2w21t.cloudfront.net/documents/ProductSpec_DSWX_URS309746.pdf
Satellite/Sensor:
Harmonized Landsat Sentinel-2 (HLS)
Landsat 8 Operational Land Imager (OLI)
MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites
Resolution:
30 meters
Credits:
NASA JPL-Caltech ARIA Team, NASA, NASA Disasters Program
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
Data Download:
https://aria-share.jpl.nasa.gov/202308_Florida_Hurricane_Idalia/DSWx-HLS/