Journal of East China Normal University(Natural Science) >

2023 , Vol. 2023 >Issue 3: 82 - 92

DOI: https://doi.org/10.3969/j.issn.1000-5641.2023.03.009

Remote Sensing and Geographic Information System

Emergency monitoring of remote sensing for flood inundation region based on SAR texture and LightGBM

  • Cheng SUN ,
  • Fang SHEN ,
  • Rugang TANG
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  • State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai　200241, China

Received date: 2021-09-08

  Accepted date: 2021-12-13

  Online published: 2023-05-25

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Abstract

In response to the need for high timeliness and accuracy monitoring for inundation region during flood disaster, a new extraction method of water areas based on SAR texture and LightGBM was proposed. Compared with other methods, such as the SDWI water index, SVM, RF and GBDT methods, it shows that the accuracy of water extraction of river, lake and flooded area is beyond 98% and higher than other methods. Meanwhile, the operating efficiency of the proposed method is 20 ~ 100 times higher than other methods, which greatly improves the timeliness of inundation emergency monitoring during flood disaster.

Key words： flood disaster; SAR remote sensing; image texture; LightGBM; water extraction

Cite this article

Cheng SUN , Fang SHEN , Rugang TANG . Emergency monitoring of remote sensing for flood inundation region based on SAR texture and LightGBM[J]. Journal of East China Normal University(Natural Science), 2023 , 2023(3) : 82 -92 . DOI: 10.3969/j.issn.1000-5641.2023.03.009

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