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Journal of University of Chinese Academy of Sciences ›› 2023, Vol. 40 ›› Issue (4): 486-495.DOI: 10.7523/j.ucas.2021.0079

• Research Articles • Previous Articles     Next Articles

Estimation of flood inundation duration using multi-source radar remote sensing in Poyang Lake basin

ZHANG Ruoxu1,2, LI Xiaotao2, JIANG Wei2,3, ZHANG Liping1, DENG Qinghai1, SONG Xiaoning4   

  1. 1 College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, China;
    2 China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
    3 Postdoctoral Workstation of China Reinsurance (Group) Corporation, Beijing 100033, China;
    4 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2021-10-26 Revised:2021-12-03 Online:2023-07-15

Abstract: To investigate flood disaster damage at large-scale, it is necessary to propose inundation duration estimation method using multi-source radar remote sensing data. Firstly, Poyang Lake basin flood located in middle of the Yangtze River is taken as study area; and then, multi-temporal radar remote sensing data are collected to extract flood inundation areas using random forest model; moreover, inundation duration is calculated at Poyang Lake basin using the estimation model of inundation duration with multi-temporal inundation areas; finally, the flood disaster assessment is conducted using average inundation duration and relationship of inundation duration and the yield loss degree of rice. The results show that:1) the Kappa coefficients of the flood inundation extracted area are higher than 0.89 and the basin flood inundation lasts 1-44 days; 2) extremely severely flood affected at township scale locate at Nanji, Changzhou, Sanjiao and the most severely flood affected areas mainly locate at Poyang, Lianhu, and Jiaotang. The majority of areas are classified as moderately affected and the assessment results are consistent with the actual disaster damage situation. The proposed inundation duration estimation method has the advantages of large scale monitoring with high frequency, which can provide support for basin flood emergency monitoring and rapid disaster damage assessment.

Key words: inundation duration, multi-source radar remote sensing data, basin flood, flood disaster assessment

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