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brasil_flood_202405/fwdet_flood_depth (MapServer)

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Service Description:

Date of Images:

5/6/2024

Date of Next Image:

Unknown

Summary:

The floodwater depth raster produced for the 06th May 2024 for long-term floods in southern Brazil was generated using the Flood Water Depth Estimation Tool (Cohen et al, 2018, 2019; Peter et al, 2020). The Floodwater Depth Estimation Tool (FwDET) is a solution for producing timely floodwater depth data during flood activations that require emergency response and post-flood assessment.

FwDET is solely on a flood extent layer and a digital elevation model (DEM). The DEM used here was the NASA SRTM data. The computation involves identifying elevations at the boundaries of the flood extent layer and using those elevations to assign floodwater surface elevation to each cell within the flooded domain by identifying its nearest boundary cell. The modeled flood surface elevation is then subtracted from the original DEM to retrieve depth.

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 depth. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. The flood depth map may contain errors due to inaccurate elevations in the NASA SRTM DEM or the water surface estimation.

Data Sources:

OPERA Dynamic Surface Water eXtent Harmonized Landsat Sentinel-2 (DSWx- HLS) - based flood inundation extent raster generated by the ARIA/OPERA group at NASA JPL.

NASA SRTM (Shuttle Radar Topography Mission) Digital Elevation 30 m (openly available on Google Earth Engine)

Suggested Use:

The darkest shades of blue indicate where the product is estimating the largest floodwater depth, while lighter shades indicate shallower flooding

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 depth. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. The flood depth map may contain errors due to inaccurate elevations in the NASA SRTM DEM or the water surface estimation.

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

NASA SRTM (Shuttle Radar Topography Mission) Digital Elevation 30 m (openly available on Google Earth Engine)

Resolution:

30 meters

Credits:

Dinuke Munasinghe - NASA JPL Water and Ecosystems Team, NASA JPL ARIA/OPERA Team

Product POCs:

Dinuke Munasinghe (dinuke.nanayakkara.munasinghe@jpl.nasa.gov)

FwDET Algorithm Documentation:

Cohen, S., Brakenridge, G.R., Kettner, A., Bates, B., Nelson, J., McDonald, R., Huang, Y, Munasinghe, D., and J. Zhang (2018). Estimating Floodwater Depths from Flood Inundation Maps and Topography. Journal of the American Water Resources Association, 54(4), 847-858. DOI: https://doi.org/10.1111/1752-1688.12609

Cohen, S., Raney, A., Munasinghe D., Loftis, D., Molthan, A., Bell, J., Rogers, L., Galantowicz, J., Brakenridge, G.R., Kettner, A., Huang, Y., and Y. Tsang (2019). The Floodwater Depth Estimation Tool (FwDET v2.0) for Improved Remote Sensing Analysis of Coastal Flooding. Natural Hazards and Earth System Sciences, 19(9), 2053-2065. DOI: https://doi.org/10.5194/nhess-19-2053-2019

Peter, B., Cohen, S., Lucey, R., Munasinghe, D., Raney, A., and G. Brakenridge (2020). "Google Earth Engine Implementation of the Floodwater Depth Estimation Tool (FwDET-GEE) for Rapid and Large Scale Flood Analysis". IEEE Geoscience and Remote Sensing Letters. DOI: https://doi.org/10.1109/lgrs.2020.3031190

Esri REST Endpoint:

See URL section on right side of page

WMS Endpoint:

Data Download:

https://aria-share.jpl.nasa.gov/202405-RioGrandeSul_Brazil-floods/FloodDepth/



Map Name: fwdet_flood_depth

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Date of Images:

5/6/2024

Date of Next Image:

Unknown

Summary:

The floodwater depth raster produced for the 06th May 2024 for long-term floods in southern Brazil was generated using the Flood Water Depth Estimation Tool (Cohen et al, 2018, 2019; Peter et al, 2020). The Floodwater Depth Estimation Tool (FwDET) is a solution for producing timely floodwater depth data during flood activations that require emergency response and post-flood assessment.

FwDET is solely on a flood extent layer and a digital elevation model (DEM). The DEM used here was the NASA SRTM data. The computation involves identifying elevations at the boundaries of the flood extent layer and using those elevations to assign floodwater surface elevation to each cell within the flooded domain by identifying its nearest boundary cell. The modeled flood surface elevation is then subtracted from the original DEM to retrieve depth.

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 depth. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. The flood depth map may contain errors due to inaccurate elevations in the NASA SRTM DEM or the water surface estimation.

Data Sources:

OPERA Dynamic Surface Water eXtent Harmonized Landsat Sentinel-2 (DSWx- HLS) - based flood inundation extent raster generated by the ARIA/OPERA group at NASA JPL.

NASA SRTM (Shuttle Radar Topography Mission) Digital Elevation 30 m (openly available on Google Earth Engine)

Suggested Use:

The darkest shades of blue indicate where the product is estimating the largest floodwater depth, while lighter shades indicate shallower flooding

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 depth. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. The flood depth map may contain errors due to inaccurate elevations in the NASA SRTM DEM or the water surface estimation.

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

NASA SRTM (Shuttle Radar Topography Mission) Digital Elevation 30 m (openly available on Google Earth Engine)

Resolution:

30 meters

Credits:

Dinuke Munasinghe - NASA JPL Water and Ecosystems Team, NASA JPL ARIA/OPERA Team

Product POCs:

Dinuke Munasinghe (dinuke.nanayakkara.munasinghe@jpl.nasa.gov)

FwDET Algorithm Documentation:

Cohen, S., Brakenridge, G.R., Kettner, A., Bates, B., Nelson, J., McDonald, R., Huang, Y, Munasinghe, D., and J. Zhang (2018). Estimating Floodwater Depths from Flood Inundation Maps and Topography. Journal of the American Water Resources Association, 54(4), 847-858. DOI: https://doi.org/10.1111/1752-1688.12609

Cohen, S., Raney, A., Munasinghe D., Loftis, D., Molthan, A., Bell, J., Rogers, L., Galantowicz, J., Brakenridge, G.R., Kettner, A., Huang, Y., and Y. Tsang (2019). The Floodwater Depth Estimation Tool (FwDET v2.0) for Improved Remote Sensing Analysis of Coastal Flooding. Natural Hazards and Earth System Sciences, 19(9), 2053-2065. DOI: https://doi.org/10.5194/nhess-19-2053-2019

Peter, B., Cohen, S., Lucey, R., Munasinghe, D., Raney, A., and G. Brakenridge (2020). "Google Earth Engine Implementation of the Floodwater Depth Estimation Tool (FwDET-GEE) for Rapid and Large Scale Flood Analysis". IEEE Geoscience and Remote Sensing Letters. DOI: https://doi.org/10.1109/lgrs.2020.3031190

Esri REST Endpoint:

See URL section on right side of page

WMS Endpoint:

Data Download:

https://aria-share.jpl.nasa.gov/202405-RioGrandeSul_Brazil-floods/FloodDepth/



Service Item Id: 53dd7e74942c43f28b38878c42dcf1da

Copyright Text:

Spatial Reference: 4326  (4326)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriDecimalDegrees

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

Document Info: Supports Dynamic Layers: true

Resampling: false

MaxRecordCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



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