中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations

文献类型:期刊论文

作者Chen, Fang2,3,4; Zhang, Meimei3,4; Zhao, Hang1; Guan, Weigui2,3,4; Yang, Aqiang3,4
刊名Remote Sensing of Environment
出版日期2024-04-01
卷号304
关键词Flood monitoring Climate change Snow melting Pakistan Synthetic Aperture Radar (SAR)
ISSN号00344257
DOI10.1016/j.rse.2024.114055
产权排序4
英文摘要

Floods are a great threat to Pakistan with increasing concern. As the consequences of increased extreme weather related to climate change, Pakistan experiences severe floods almost every year. This study aims to explore and analysis the actual inundated situation, magnitude, the possible causes of the 2022 devastating floods, and future trends. We presented an enhanced nationwide flood mapping method and compared with other pixel-based image processing techniques including active contours and change detection. These algorithms were applied to Sentinel-1 Ground Range Detected (GRD) Synthetic Aperture Radar (SAR) imagery (10 m spatial resolution) with various land types and inundation scenarios in Pakistan, and were evaluated using other reference flood products. Accuracy evaluation analysis demonstrated that our algorithm has high robustness and accuracy, with the overall accuracy (OA) higher than 0.83 and critical success index (CSI) up to 0.91, and is suitable for automated flood monitoring in near real time. Nearly one-third of the lands were flooded in 2022, and more than half were inundated croplands. Punjab and Sindh provinces were the most severely affected regions, with the proportions of inundated area in 2022 (21.26% and 20.55%) nearly twice of that in 2010 (11.40% and 12.70%), indicating an intensified flooding trend. Analysis of possible influential factors showed that the intense and cumulative rainfall during the monsoon season (June to August) was the major cause of the 2022 flood event. Although the snow melted rapidly in June (the average change in snow depth is ∼10 mm), the overall ablation contributed insignificant amount to the flood water. The glacial lake outburst floods (GLOFs) induced by abnormal April–May heatwave provide water flowed into the tributaries of the Indus River, but are difficult to spread for thousands of kilometers from mountains to the plain downstream. The combination of the intrinsic arid climate and extreme floods exacerbate the already severe situation. © 2024 Elsevier Inc.

语种英语
出版者Elsevier Inc.
源URL[http://ir.opt.ac.cn/handle/181661/97254]  
专题西安光学精密机械研究所_光学影像学习与分析中心
通讯作者Zhang, Meimei; Zhao, Hang
作者单位1.Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China
2.University of Chinese Academy of Sciences, Beijing; 100049, China;
3.Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing; 100094, China;
4.International Research Center of Big Data for Sustainable Development Goals, Beijing; 100094, China;
推荐引用方式
GB/T 7714
Chen, Fang,Zhang, Meimei,Zhao, Hang,et al. Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations[J]. Remote Sensing of Environment,2024,304.
APA Chen, Fang,Zhang, Meimei,Zhao, Hang,Guan, Weigui,&Yang, Aqiang.(2024).Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations.Remote Sensing of Environment,304.
MLA Chen, Fang,et al."Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations".Remote Sensing of Environment 304(2024).

入库方式: OAI收割

来源:西安光学精密机械研究所

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