Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia
Flood risk management has been severely constrained by limited information on the causes and impacts of flooding. In this study, we evaluated the effect of short-term land cover change of Logiya Catchment on flood inundation to impact Dubti town and its surroundings in the Lower Awash Basin, Ethiopi...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Arba Minch University
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/175378 |
| _version_ | 1855540658826117120 |
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| author | Bekele, T. W. Negash, E. D. Asfaw, W. Haile, Alemseged Tamiru |
| author_browse | Asfaw, W. Bekele, T. W. Haile, Alemseged Tamiru Negash, E. D. |
| author_facet | Bekele, T. W. Negash, E. D. Asfaw, W. Haile, Alemseged Tamiru |
| author_sort | Bekele, T. W. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Flood risk management has been severely constrained by limited information on the causes and impacts of flooding. In this study, we evaluated the effect of short-term land cover change of Logiya Catchment on flood inundation to impact Dubti town and its surroundings in the Lower Awash Basin, Ethiopia. We used Sentinel-1 Synthetic Aperture Radar (S-1 SAR) data to detect flood but Sentinel-2 (S-2) optical satellite data to classify land cover by applying a machine learning algorithm. We also used land cover and soil data to generate the Curve Number (CN) map of the study area from 2017 to 2023. The flood maps showed that roads and irrigation canals were washed away by the 2020 extreme flood, which led to the inundation and abandonment of the Tendaho Irrigation Scheme. The runoff generation potential (CN) was above 27% at the Logiya Catchment from 2017 to 2023, contributing to severe flooding. The remote sensing analysis showed that overflow of the Logiya River in 2020 was intercepted and conveyed by the main irrigation canal of the Tendaho Scheme resulting in inundation of the Dubti and its surroundings. The flood extent at Dubti and its surroundings was 59.22 km2 in 2020. It increased by 26% from 2017 to 2019. Frequent (6-days), high resolution (10m) and time-series 7 years Sentinel-1 data helped to get a detailed characterization of the cause, dynamics, and impacts of the historical flood events. The approach and results of this study can guide flood risk management in the study area and serve as a reference for future studies in other flood affected areas. |
| format | Journal Article |
| id | CGSpace175378 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Arba Minch University |
| publisherStr | Arba Minch University |
| record_format | dspace |
| spelling | CGSpace1753782025-12-08T10:11:39Z Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia Bekele, T. W. Negash, E. D. Asfaw, W. Haile, Alemseged Tamiru remote sensing flooding land cover satellite imagery land use Flood risk management has been severely constrained by limited information on the causes and impacts of flooding. In this study, we evaluated the effect of short-term land cover change of Logiya Catchment on flood inundation to impact Dubti town and its surroundings in the Lower Awash Basin, Ethiopia. We used Sentinel-1 Synthetic Aperture Radar (S-1 SAR) data to detect flood but Sentinel-2 (S-2) optical satellite data to classify land cover by applying a machine learning algorithm. We also used land cover and soil data to generate the Curve Number (CN) map of the study area from 2017 to 2023. The flood maps showed that roads and irrigation canals were washed away by the 2020 extreme flood, which led to the inundation and abandonment of the Tendaho Irrigation Scheme. The runoff generation potential (CN) was above 27% at the Logiya Catchment from 2017 to 2023, contributing to severe flooding. The remote sensing analysis showed that overflow of the Logiya River in 2020 was intercepted and conveyed by the main irrigation canal of the Tendaho Scheme resulting in inundation of the Dubti and its surroundings. The flood extent at Dubti and its surroundings was 59.22 km2 in 2020. It increased by 26% from 2017 to 2019. Frequent (6-days), high resolution (10m) and time-series 7 years Sentinel-1 data helped to get a detailed characterization of the cause, dynamics, and impacts of the historical flood events. The approach and results of this study can guide flood risk management in the study area and serve as a reference for future studies in other flood affected areas. 2024 2025-06-30T08:49:41Z 2025-06-30T08:49:41Z Journal Article https://hdl.handle.net/10568/175378 en Open Access Arba Minch University Bekele, T. W.; Negash, E. D.; Asfaw, W.; Haile, Alemseged Tamiru. 2024. Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia. Ethiopian Journal of Water Science and Technology, 7:1-19. |
| spellingShingle | remote sensing flooding land cover satellite imagery land use Bekele, T. W. Negash, E. D. Asfaw, W. Haile, Alemseged Tamiru Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia |
| title | Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia |
| title_full | Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia |
| title_fullStr | Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia |
| title_full_unstemmed | Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia |
| title_short | Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia |
| title_sort | remote sensing approach for detection and attribution of flood inundation lower awash basin ethiopia |
| topic | remote sensing flooding land cover satellite imagery land use |
| url | https://hdl.handle.net/10568/175378 |
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