Published September 7, 2024 | Version v1
Dataset Open

Supporting Datasets for 'SWOT Satellite Reveals Devastating Flood Impact in Rio Grande do Sul, Brazil'

Creators

  • 1. ROR icon Woods Hole Oceanographic Institution

Description

This dataset contains multiple sources of geospatial and environmental data used for flood extension and volume analysis in the study of the May 2023 extreme flood that hit south Brazil. The data integrates satellite remote sensing, atmospheric reanalysis, hydrological measurements, terrain data, and socioeconomic indicators to evaluate flooding impacts and their connection to climate variability.

The dataset include:

  1. Sentinel-2 Satellite Data

  2. SWOT Mission High-Density Pixel Cloud Data

  3. HIDROWEB Water Level Data

  4. Forest And Buildings Removed Copernicus Digital Elevation Model (FABDEM)

  5. Modern-Era Retrospective Analysis for Research and Applications 2 (MERRA-2)

  6. Integrated Multi-satellite Retrievals for Global Precipitation Measurements (IMERG)

  7. Brazilian Meteorological Database (BDMEP)

  8. Institute of Hydraulic Research (IPH) Flood Extent Map

  9. Socioeconomic Data from the Social Vulnerability Atlas

 

Disclaimer:

This dataset is a compilation of various data sources, each of which may be subject to its own specific licensing terms and conditions. Users of this dataset are strongly advised to review the license associated with each individual sub-dataset before using, modifying, or redistributing the data. While we have provided the dataset under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, certain sub-datasets may have additional restrictions or requirements, such as attribution, non-commercial use, or limitations on derivative works. It is the responsibility of the user to ensure compliance with all applicable licenses. Please refer to the original data sources and their respective licenses for detailed information.

Files

swot_southbrazil_flooding_data.zip

Files (15.2 GB)

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Additional details

Software

Repository URL
https://github.com/iuryt/swot_southbrazil_flooding
Programming language
Python
Development Status
Active

References

  • Agência Nacional de Águas. (2024). Hidroweb - Sistema de Informações Hidrológicas [dataset]. Retrieved from https://www.snirh.gov.br/hidroweb (Accessed: 2024-08-14).
  • European Space Agency. (2021). Copernicus Sentinel-2 MSI Level-2A BOA Reflectance Product, Collection 1 [dataset]. Retrieved from https://doi.org/10.5270/S2-znk9xsj (Accessed: 2024-08-14).
  • Fu, L.-L., Pavelsky, T., Crétaux, J.-F., Morrow, R., Farrar, J. T., Vaze, P., ... Dibarboure, G. (2024). The Surface Water and Ocean Topography Mission: A Breakthrough in Radar Remote Sensing of the Ocean and Land Surface Water [dataset]. Geophysical Research Letters, 51(4), e2023GL107652. https://doi.org/10.1029/2023GL107652.
  • Global Modeling and Assimilation Office. (2015). MERRA-2 TAVG1 2D SLV NX: 2D, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Single-Level Diagnostics v5.12.4 [dataset]. Greenbelt, MD, USA. Retrieved from https://doi.org/10.5067/VJAFPLI1CSIV (Accessed: 2024-08-14).
  • Huffman, G., Stocker, E., Bolvin, D., Nelkin, E., & Tan, J. (2019). GPM IMERG Late Precipitation L3 Half-Hourly 0.1 Degree x 0.1 Degree V06 [dataset]. Greenbelt, MD, USA. Retrieved from https://doi.org/10.5067/GPM/IMERG/3B-HH-L/06 (Accessed: 2024-08-14).
  • Instituto de Pesquisa Econômica Aplicada. (2024). Atlas da Vulnerabilidade Social [dataset]. Retrieved from http://ivs.ipea.gov.br/index.php/pt/ (Accessed: 2024-08-14).
  • Instituto de Pesquisas Hidráulicas. (2024). Mapa Interativo de Inundação em Porto Alegre [dataset]. Retrieved from https://www.google.com/maps/d/u/0/viewer?mid=1F2r9aE2ikmUPdplswcceL57m57tfWlQ&ll (Accessed: 2024-08-14).
  • SWOT. (2024). SWOT Level 2 Water Mask Pixel Cloud Data Product [dataset]. NASA Physical Oceanography Distributed Active Archive Center. Retrieved from https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_PIXC_2.0. doi: 10.5067/SWOT-PIXC-2.0.