Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data
During May 2024, Brazil experienced severe flooding due to heavy rainfall associated with low-pressure systems impacting the state of Rio Grande do Sul. This study analyzed operational VIIRS (Visible Infrared Imaging Radiometer Suite) flood products at the original 375-m spatial resolution and downs...
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| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2461063 |
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| author | Donglian Sun Lihang Zhou Sanmei Li Tianshu Yang Meng Yuan Andrew Lomax |
| author_facet | Donglian Sun Lihang Zhou Sanmei Li Tianshu Yang Meng Yuan Andrew Lomax |
| author_sort | Donglian Sun |
| collection | DOAJ |
| description | During May 2024, Brazil experienced severe flooding due to heavy rainfall associated with low-pressure systems impacting the state of Rio Grande do Sul. This study analyzed operational VIIRS (Visible Infrared Imaging Radiometer Suite) flood products at the original 375-m spatial resolution and downscaled VIIRS floodwater depth at 30-m resolution derived from the original VIIRS flood products using a downscaling model. The analysis indicated several key findings: (1) The operational VIIRS flood products provided flooding information consistent with the flood extent maps from the Emergency Response Coordination Centre (ERCC); (2) The VIIRS downscaled floodwater depth at 30-m resolution provided high resolution equivalent to SAR (Synthetic Aperture Radar) and allied well with the SAR-based flood extent in the South-eastern region of the state, while maintaining VIIRS’s advantage of large spatial coverage; (3) The 3D maps of VIIRS operational flood products at the original 375-m resolution and the downscaled VIIRS floodwater depth at 30-m resolution revealed that flooding is highly related to surface elevation and slope; and (4) Quantitative analysis of the VIIRS downscaled flood map and SAR flood extents indicates an overall accuracy of 80%, a precision of 61%, a recall of 91%, and an F1 score of 73%. |
| format | Article |
| id | doaj-art-09cbd393aade4bd3b64a65e8f5cd9a91 |
| institution | OA Journals |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
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| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-09cbd393aade4bd3b64a65e8f5cd9a912025-08-20T02:30:13ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2025.2461063Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite DataDonglian Sun0Lihang Zhou1Sanmei Li2Tianshu Yang3Meng Yuan4Andrew Lomax5Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USANOAA LEO Program Office, Lanham, MD, USADepartment of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USADepartment of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USADepartment of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USANOAA LEO Program Office, Lanham, MD, USADuring May 2024, Brazil experienced severe flooding due to heavy rainfall associated with low-pressure systems impacting the state of Rio Grande do Sul. This study analyzed operational VIIRS (Visible Infrared Imaging Radiometer Suite) flood products at the original 375-m spatial resolution and downscaled VIIRS floodwater depth at 30-m resolution derived from the original VIIRS flood products using a downscaling model. The analysis indicated several key findings: (1) The operational VIIRS flood products provided flooding information consistent with the flood extent maps from the Emergency Response Coordination Centre (ERCC); (2) The VIIRS downscaled floodwater depth at 30-m resolution provided high resolution equivalent to SAR (Synthetic Aperture Radar) and allied well with the SAR-based flood extent in the South-eastern region of the state, while maintaining VIIRS’s advantage of large spatial coverage; (3) The 3D maps of VIIRS operational flood products at the original 375-m resolution and the downscaled VIIRS floodwater depth at 30-m resolution revealed that flooding is highly related to surface elevation and slope; and (4) Quantitative analysis of the VIIRS downscaled flood map and SAR flood extents indicates an overall accuracy of 80%, a precision of 61%, a recall of 91%, and an F1 score of 73%.https://www.tandfonline.com/doi/10.1080/19475705.2025.2461063Brazil record severe floodingoperational VIIRS flood productFABDEM datadownscaled VIIRS flood maps3D flood maps |
| spellingShingle | Donglian Sun Lihang Zhou Sanmei Li Tianshu Yang Meng Yuan Andrew Lomax Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data Geomatics, Natural Hazards & Risk Brazil record severe flooding operational VIIRS flood product FABDEM data downscaled VIIRS flood maps 3D flood maps |
| title | Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data |
| title_full | Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data |
| title_fullStr | Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data |
| title_full_unstemmed | Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data |
| title_short | Mapping and analysis of the 2024 Brazil record flooding with Multi-Satellite Data |
| title_sort | mapping and analysis of the 2024 brazil record flooding with multi satellite data |
| topic | Brazil record severe flooding operational VIIRS flood product FABDEM data downscaled VIIRS flood maps 3D flood maps |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2025.2461063 |
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