Evaluating Flood Damages using Land Cover Changes Detection
This study presents a monitoring and analysis of land cover changes in exact parts of the Karlovo Region, Bulgaria, with a focus on the catastrophic flood event of September 2022, which displaced hundreds of residents. Recognizing the increasing frequency of climate change-induced disasters such as...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-05-01
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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-M-7-2025/103/2025/isprs-archives-XLVIII-M-7-2025-103-2025.pdf |
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| author | P. Raeva S. Katsarska-Filipova D. Filipov |
| author_facet | P. Raeva S. Katsarska-Filipova D. Filipov |
| author_sort | P. Raeva |
| collection | DOAJ |
| description | This study presents a monitoring and analysis of land cover changes in exact parts of the Karlovo Region, Bulgaria, with a focus on the catastrophic flood event of September 2022, which displaced hundreds of residents. Recognizing the increasing frequency of climate change-induced disasters such as floods, fires, and droughts — often exacerbated by anthropogenic activities — the research investigates the relationship between land cover dynamics and disaster vulnerability. The methodology integrates Sentinel-1 SAR and Sentinel-2 optical satellite imagery with open-access data from Bulgarian institutions, processed using open-source software platforms. Flooded areas and shifts in land use were mapped using computed optical indices and SAR backscatter change detection. Special emphasis is placed on the challenges of accurately identifying heavily damaged zones due to landscape alterations post-disaster. The research team focuses on the consequences on the arable land nearby the settlements Bogdan and Karavelovo part of Municipality of Karlovo. The study proposes a technological monitoring scheme for decision-makers, aiming to enhance land change tracking and improve disaster risk prediction. Overall, this research underlines the critical role of satellite data in supporting effective disaster management and mitigation strategies. |
| format | Article |
| id | doaj-art-8076e1527267445198c11047f7547521 |
| institution | OA Journals |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-8076e1527267445198c11047f75475212025-08-20T02:26:59ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342025-05-01XLVIII-M-7-202510311110.5194/isprs-archives-XLVIII-M-7-2025-103-2025Evaluating Flood Damages using Land Cover Changes DetectionP. Raeva0S. Katsarska-Filipova1D. Filipov2Faculty of Geodesy, Laboratory of Remote Sensing and Spatial Data Processing, UACEG-Sofia, BulgariaFaculty of Geodesy, Laboratory of Remote Sensing and Spatial Data Processing, UACEG-Sofia, BulgariaFaculty of Geodesy, Laboratory of Remote Sensing and Spatial Data Processing, UACEG-Sofia, BulgariaThis study presents a monitoring and analysis of land cover changes in exact parts of the Karlovo Region, Bulgaria, with a focus on the catastrophic flood event of September 2022, which displaced hundreds of residents. Recognizing the increasing frequency of climate change-induced disasters such as floods, fires, and droughts — often exacerbated by anthropogenic activities — the research investigates the relationship between land cover dynamics and disaster vulnerability. The methodology integrates Sentinel-1 SAR and Sentinel-2 optical satellite imagery with open-access data from Bulgarian institutions, processed using open-source software platforms. Flooded areas and shifts in land use were mapped using computed optical indices and SAR backscatter change detection. Special emphasis is placed on the challenges of accurately identifying heavily damaged zones due to landscape alterations post-disaster. The research team focuses on the consequences on the arable land nearby the settlements Bogdan and Karavelovo part of Municipality of Karlovo. The study proposes a technological monitoring scheme for decision-makers, aiming to enhance land change tracking and improve disaster risk prediction. Overall, this research underlines the critical role of satellite data in supporting effective disaster management and mitigation strategies.https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/103/2025/isprs-archives-XLVIII-M-7-2025-103-2025.pdf |
| spellingShingle | P. Raeva S. Katsarska-Filipova D. Filipov Evaluating Flood Damages using Land Cover Changes Detection The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Evaluating Flood Damages using Land Cover Changes Detection |
| title_full | Evaluating Flood Damages using Land Cover Changes Detection |
| title_fullStr | Evaluating Flood Damages using Land Cover Changes Detection |
| title_full_unstemmed | Evaluating Flood Damages using Land Cover Changes Detection |
| title_short | Evaluating Flood Damages using Land Cover Changes Detection |
| title_sort | evaluating flood damages using land cover changes detection |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/103/2025/isprs-archives-XLVIII-M-7-2025-103-2025.pdf |
| work_keys_str_mv | AT praeva evaluatingflooddamagesusinglandcoverchangesdetection AT skatsarskafilipova evaluatingflooddamagesusinglandcoverchangesdetection AT dfilipov evaluatingflooddamagesusinglandcoverchangesdetection |