Sustainable flood hazard mapping with GLOF: A Google Earth Engine approach
This study aims to evaluate the efficacy of Google Earth Engine (GEE) in mapping floods and their aftermath, focusing on the recent event caused by cloud burst rainfall and glacial lake outburst flood (GLOF) of Lhonak glacier lake in the Teesta River basin, North Sikkim. The objective is to utilize...
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KeAi Communications Co. Ltd.
2024-12-01
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| Series: | Natural Hazards Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666592124000027 |
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| author | Subhra Halder Suddhasil Bose |
| author_facet | Subhra Halder Suddhasil Bose |
| author_sort | Subhra Halder |
| collection | DOAJ |
| description | This study aims to evaluate the efficacy of Google Earth Engine (GEE) in mapping floods and their aftermath, focusing on the recent event caused by cloud burst rainfall and glacial lake outburst flood (GLOF) of Lhonak glacier lake in the Teesta River basin, North Sikkim. The objective is to utilize GEE, coupled with Sentinel-1 Synthetic Aperture Radar (SAR) data and Landsat 9 imagery, for precise remote sensing analysis, flood mapping, and Land Use and Land Cover (LULC) classification. The study employs a comprehensive methodology within the GEE platform, involving the acquisition and preprocessing of Sentinel-1 SAR data to create pre- and post-flood images. The difference between these images is calculated to generate flood maps at five-day intervals, providing a temporal evolution of the flood extent. Additionally, LULC mapping is conducted using Landsat 9 data, contributing to an understanding of pre-flood landscape characteristics. The results and discussion reveal significant impacts on various LULC types, with barren rocks, dense and medium forests, settlements, and agricultural lands experiencing notable effects. This research not only enhances our understanding of GLOFs but also serves as a critical tool for informing disaster management strategies, emphasizing the importance of accurate hazard assessment and the need for holistic approaches to mitigate the cascading effects of such events. |
| format | Article |
| id | doaj-art-5d88d1a4e80f488c8fb11c574c8928ce |
| institution | Kabale University |
| issn | 2666-5921 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Natural Hazards Research |
| spelling | doaj-art-5d88d1a4e80f488c8fb11c574c8928ce2024-12-06T05:14:53ZengKeAi Communications Co. Ltd.Natural Hazards Research2666-59212024-12-0144573578Sustainable flood hazard mapping with GLOF: A Google Earth Engine approachSubhra Halder0Suddhasil Bose1Corresponding author.; School of Water Resources Engineering, Jadavpur University, Kolkata, 700032, West Bengal, IndiaSchool of Water Resources Engineering, Jadavpur University, Kolkata, 700032, West Bengal, IndiaThis study aims to evaluate the efficacy of Google Earth Engine (GEE) in mapping floods and their aftermath, focusing on the recent event caused by cloud burst rainfall and glacial lake outburst flood (GLOF) of Lhonak glacier lake in the Teesta River basin, North Sikkim. The objective is to utilize GEE, coupled with Sentinel-1 Synthetic Aperture Radar (SAR) data and Landsat 9 imagery, for precise remote sensing analysis, flood mapping, and Land Use and Land Cover (LULC) classification. The study employs a comprehensive methodology within the GEE platform, involving the acquisition and preprocessing of Sentinel-1 SAR data to create pre- and post-flood images. The difference between these images is calculated to generate flood maps at five-day intervals, providing a temporal evolution of the flood extent. Additionally, LULC mapping is conducted using Landsat 9 data, contributing to an understanding of pre-flood landscape characteristics. The results and discussion reveal significant impacts on various LULC types, with barren rocks, dense and medium forests, settlements, and agricultural lands experiencing notable effects. This research not only enhances our understanding of GLOFs but also serves as a critical tool for informing disaster management strategies, emphasizing the importance of accurate hazard assessment and the need for holistic approaches to mitigate the cascading effects of such events.http://www.sciencedirect.com/science/article/pii/S2666592124000027South Lhonak lakeSikkim HimalayaFlood mappingGEE |
| spellingShingle | Subhra Halder Suddhasil Bose Sustainable flood hazard mapping with GLOF: A Google Earth Engine approach Natural Hazards Research South Lhonak lake Sikkim Himalaya Flood mapping GEE |
| title | Sustainable flood hazard mapping with GLOF: A Google Earth Engine approach |
| title_full | Sustainable flood hazard mapping with GLOF: A Google Earth Engine approach |
| title_fullStr | Sustainable flood hazard mapping with GLOF: A Google Earth Engine approach |
| title_full_unstemmed | Sustainable flood hazard mapping with GLOF: A Google Earth Engine approach |
| title_short | Sustainable flood hazard mapping with GLOF: A Google Earth Engine approach |
| title_sort | sustainable flood hazard mapping with glof a google earth engine approach |
| topic | South Lhonak lake Sikkim Himalaya Flood mapping GEE |
| url | http://www.sciencedirect.com/science/article/pii/S2666592124000027 |
| work_keys_str_mv | AT subhrahalder sustainablefloodhazardmappingwithglofagoogleearthengineapproach AT suddhasilbose sustainablefloodhazardmappingwithglofagoogleearthengineapproach |