Lessonia-1 SAR time-series for identifying flooded areas
The catastrophic floods that hit Rio Grande do Sul, Brazil, in May 2024 underscored the urgent necessity for sophisticated flood monitoring and management methods. Notably, Synthetic Aperture Radar (SAR) satellite imagery has proven to be an essential resource for detecting flooded regions and evalu...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-11-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-3-W3-2024/55/2024/isprs-archives-XLVIII-3-W3-2024-55-2024.pdf |
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| author | S. A. Lima S. A. Lima F. A. L. Costa E. S. Bias E. E. Sano |
| author_facet | S. A. Lima S. A. Lima F. A. L. Costa E. S. Bias E. E. Sano |
| author_sort | S. A. Lima |
| collection | DOAJ |
| description | The catastrophic floods that hit Rio Grande do Sul, Brazil, in May 2024 underscored the urgent necessity for sophisticated flood monitoring and management methods. Notably, Synthetic Aperture Radar (SAR) satellite imagery has proven to be an essential resource for detecting flooded regions and evaluating the extent of flooding, even in challenging weather conditions. The Lessonia-1 SAR project represents a significant advancement in Brazil’s technological capabilities, particularly in enhancing flood management. By providing continuous and precise imagery monitoring, it plays a crucial role in mitigating flood risks. During heavy rains in the southern Brazilian State of Rio Grande do Sul, the Space Operations Center (COPE) was tasked to acquire imagery from Lessonia-1 SAR to support operations aimed at mitigating the impact on residents' lives. The purpose of this study is to assess the feasibility of utilizing Lessonia-1 SAR imagery, operating at X band with VV polarization, using a time-series approach for identifying flooded areas. The results demonstrate that utilizing imagery from October 2022 (before) and May 2024 (after) with normalization between both images enables the identification of flooded areas of interest. Additionally, the study employs false-color composition (R:after, G:before and B:normalization) to visualize the flooding curve in blue. |
| format | Article |
| id | doaj-art-367b970b4d8645c4a2b4487afbf22157 |
| institution | OA Journals |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-367b970b4d8645c4a2b4487afbf221572025-08-20T02:18:51ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-11-01XLVIII-3-W3-2024556210.5194/isprs-archives-XLVIII-3-W3-2024-55-2024Lessonia-1 SAR time-series for identifying flooded areasS. A. Lima0S. A. Lima1F. A. L. Costa2E. S. Bias3E. E. Sano4University of Brasília (UNB), Campus Universitário Darcy Ribeiro, Brasília-DF, BrazilBrazilian Space Operations Center (COPE), Brasília-DF, BrazilBrazilian Space Operations Center (COPE), Brasília-DF, BrazilUniversity of Brasília (UNB), Campus Universitário Darcy Ribeiro, Brasília-DF, BrazilEmbrapa e University of Brasília (UNB), Campus Universitário Darcy Ribeiro, Brasília-DF, BrazilThe catastrophic floods that hit Rio Grande do Sul, Brazil, in May 2024 underscored the urgent necessity for sophisticated flood monitoring and management methods. Notably, Synthetic Aperture Radar (SAR) satellite imagery has proven to be an essential resource for detecting flooded regions and evaluating the extent of flooding, even in challenging weather conditions. The Lessonia-1 SAR project represents a significant advancement in Brazil’s technological capabilities, particularly in enhancing flood management. By providing continuous and precise imagery monitoring, it plays a crucial role in mitigating flood risks. During heavy rains in the southern Brazilian State of Rio Grande do Sul, the Space Operations Center (COPE) was tasked to acquire imagery from Lessonia-1 SAR to support operations aimed at mitigating the impact on residents' lives. The purpose of this study is to assess the feasibility of utilizing Lessonia-1 SAR imagery, operating at X band with VV polarization, using a time-series approach for identifying flooded areas. The results demonstrate that utilizing imagery from October 2022 (before) and May 2024 (after) with normalization between both images enables the identification of flooded areas of interest. Additionally, the study employs false-color composition (R:after, G:before and B:normalization) to visualize the flooding curve in blue.https://isprs-archives.copernicus.org/articles/XLVIII-3-W3-2024/55/2024/isprs-archives-XLVIII-3-W3-2024-55-2024.pdf |
| spellingShingle | S. A. Lima S. A. Lima F. A. L. Costa E. S. Bias E. E. Sano Lessonia-1 SAR time-series for identifying flooded areas The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Lessonia-1 SAR time-series for identifying flooded areas |
| title_full | Lessonia-1 SAR time-series for identifying flooded areas |
| title_fullStr | Lessonia-1 SAR time-series for identifying flooded areas |
| title_full_unstemmed | Lessonia-1 SAR time-series for identifying flooded areas |
| title_short | Lessonia-1 SAR time-series for identifying flooded areas |
| title_sort | lessonia 1 sar time series for identifying flooded areas |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-3-W3-2024/55/2024/isprs-archives-XLVIII-3-W3-2024-55-2024.pdf |
| work_keys_str_mv | AT salima lessonia1sartimeseriesforidentifyingfloodedareas AT salima lessonia1sartimeseriesforidentifyingfloodedareas AT falcosta lessonia1sartimeseriesforidentifyingfloodedareas AT esbias lessonia1sartimeseriesforidentifyingfloodedareas AT eesano lessonia1sartimeseriesforidentifyingfloodedareas |