Applications of satellite data for rapid inundation assessment - A case study in Thua Thien Hue province
Email:
binhhn@utc.edu.vn
Từ khóa:
Sentinel-1, Inundation assessment, Flood maps, Thua Thien Hue
Tóm tắt
Floods are one of the most significant devastating natural hazards around the globe. Recent development in remote sensing technology supports faster and low-cost analysis of flood hazards. This study used the Sentinel-1 SAR data for flood mapping and damage assessment. We selected the October 2022 flood event in Thua Thien Hue province, Vietnam. The Change Detection and Thresholding (CDAT) method was adopted to detect the inundation areas. The results showed that The flood event affected to several districts with Quang Dien being the worst hit, followed by Phu Loc and Huong Tra. Phu Vang had the smallest flooded area. The total inundated area was up to 33,384.08ha. The derived flood map was overlaid onto the current land cover map to conduct an initial evaluation of the potential flood damage corresponding to each land use category. The damage to the land cover was estimated that most of the affected areas were in the cropland and accounted for 77.07% of the total inundated area. The results can assist decision-makers in monitoring and assessing flood damage in Central VietnamTài liệu tham khảo
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[3]. M. S. Rahman, L. Di, The state of the art of spaceborne remote sensing in flood management, Natural Hazards, 85 (2017) 1223-1248. https://doi.org/10.1007/s11069-016-2601-9
[4]. B. DeVries, C. Huang, J. Armston, W. Huang, J. W. Jones, M. W. Lang, Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine, Remote Sensing of Environment, 240 (2020) 111664. https://doi.org/10.1016/j.rse.2020.111664
[5]. L. C. Wang, D. V. Hoang, Y. A. Liou, Quantifying the Impacts of the 2020 Flood on Crop Production and Food Security in the Middle Reaches of the Yangtze River, China, Remote Sensing, 14 (2022) 3140. https://doi.org/10.3390/rs14133140
[6]. H. D. Vinh, L. Yuei-an, Applications of Sentinel -1 SAR Data for Flood Damage Assessment: a Case Study of Central Vietnam Flooding Event in October 2020, EasyChair Preprint no. 7136 (2021). https://easychair.org/publications/preprint/sCnH
[7]. H. N. Binh, L. T. V. Ha, Application of ebn to predict the dry discharge in Ta Trach river, Thua Thien Hue province, Vietnam, Transport and Communications Science Journal, 71 (2020) 1000-1015 (in Vietnamese). https://doi.org/10.47869/tcsj.71.8.10
[8]. L. V. Nghị, H. D Vinh, H. N. Binh, Calculating hierarchical flood in Huong River basin Thua Thien Hue province, Transport and Communications Science Journal, 47 (2015) 125-129 (in Vietnamese).
[9]. L. V. Nghị, H. D Vinh, H. N. Binh, B. T. Hanh, Estimation of ability decreased flood of reservoir system in Huong river basin in Thua Thien Hue province, Transport and Communications Science Journal, 51 (2016) 31-36 (in Vietnamese).
[10]. Vo Thanh, Hue Imperial Citadel flooded, https://e.vnexpress.net/photo/news/hue-imperial-citadel-flooded-4523908.html, 2022, (January 16, 2023).
[11]. S. Long, T. E. Fatoyinbo, F. Policelli, Flood extent mapping for Namibia using change detection and thresholding with SAR, Environmental Research Letters., 9 (2014). https://doi.org/10.1088/1748-9326/9/3/035002
[12]. M. Singha, J. Dong, S. Sarmah, N. You, Y. Zhou, G. Zhang, R. Doughty, X. Xiao, Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine, ISPRS Journal of Photogrammetry and Remote Sensing, 166 (2020) 278-293. https://doi.org/10.1016/j.isprsjprs.2020.06.011
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Nhận bài
23/02/2023
Nhận bài sửa
05/02/2024
Chấp nhận đăng
26/02/2024
Xuất bản
15/05/2024
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Kiểu trích dẫn
Hoang Nam, B., Le Van, N., & Hoang Vu, H. (1715706000). Applications of satellite data for rapid inundation assessment - A case study in Thua Thien Hue province. Tạp Chí Khoa Học Giao Thông Vận Tải, 75(4), 1697-1706. https://doi.org/10.47869/tcsj.75.4.18
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