Remote Sensing Monitoring and Analysis on Heavy Rainstorm Flood in Yongji County, Jilin Province

Xiaoyu Liao (), Walian Du and Rina Su
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Xiaoyu Liao: Bureau of Hydrology (Information Center), Songliao Water Resources Commission, Ministry of Water Resources
Walian Du: Northeast Normal University, School of Environment
Rina Su: Northeast Normal University, School of Environment

A chapter in Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), 2023, pp 116-121 from Springer

Abstract: ABSTRACT With the continuous development of remote sensing technology, increasingly it is applied in natural disaster monitoring and management, especially, in the field of flood monitoring and warning, flood risk and loss assessment. The three phase Gaofen-1 satellite images before and after the flood in Yongji County were comparatively analyzed, surface conditions before and after floods were extracted by SVM algorithm. And on this basis, the flood damages and impacts were assessed. The results indicated that, affected by the torrential rain and floods on July 13, the affected area was about 138.54km2, residential land and dry land were severely flooded. The process of flood routing can be monitored quickly, accurately and comprehensively by remote sensing technology, which provides scientific basis for flood control and disaster reduction.

Keywords: flood monitoring; remote sensing; GF-1; SVM; Yongji County (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-194-4_16

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DOI: 10.2991/978-94-6463-194-4_16

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