华东师范大学学报（自然科学版） >

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

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

遥感与地理信息系统

基于SAR纹理和LightGBM的洪水淹没地区遥感应急监测

  • 孙诚 ,
  • 沈芳 ,
  • 唐儒罡
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  • 华东师范大学 河口海岸学国家重点实验室, 上海　200241

收稿日期: 2021-09-08

  录用日期: 2021-12-13

  网络出版日期: 2023-05-25

基金资助

上海市科委重点项目 (20DZ1204701)

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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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摘要

针对洪涝灾害期间淹水范围监测精准和时效的高要求, 本文提出了一种基于SAR (synthetic aperture radar)纹理信息和LightGBM算法的水体提取方法. 与SDWI (sentinel-1 dual-polarized water index)水体指数法、SVM (support vector machines)、RF (random forest)和GBDT (gradient boosting decision tree)算法对比表明, 在河道、湖泊和洪水淹没区三类重点监测区域, 该方法提取精度均达98%以上, 总体精度优于其他方法. 同时, 该方法的运行效率较其他方法提升20 ~ 100倍, 极大地提高了洪涝灾害期间淹水应急监测的时效性.

关键词： 洪涝灾害; SAR遥感; 纹理信息; LightGBM; 水体提取方法

本文引用格式

孙诚 , 沈芳 , 唐儒罡 . 基于SAR纹理和LightGBM的洪水淹没地区遥感应急监测[J]. 华东师范大学学报（自然科学版）, 2023 , 2023(3) : 82 -92 . DOI: 10.3969/j.issn.1000-5641.2023.03.009

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

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