Sentinel-1-based analysis of the severe flood over Pakistan 2022

IF 4.2 2区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Natural Hazards and Earth System Sciences Pub Date : 2023-10-23 DOI:10.5194/nhess-23-3305-2023

Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, Wolfgang Wagner

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引用次数: 2

Abstract

Abstract. In August and September 2022, Pakistan was hit by a severe flood, and millions of people were impacted. The Sentinel-1-based flood mapping algorithm developed by Technische Universität Wien (TU Wien) for the Copernicus Emergency Management Service (CEMS) global flood monitoring (GFM) component was used to document the propagation of the flood from 10 August to 23 September 2022. The results were evaluated using the flood maps from the CEMS rapid mapping component. Overall, the algorithm performs reasonably well with a critical success index of up to 80 %, while the detected differences can be primarily attributed to the time difference of the algorithm's results and the corresponding reference. Over the 6-week time span, an area of 30 492 km2 was observed to be flooded at least once, and the maximum extent was found to be present on 30 August. The study demonstrates the ability of the TU Wien flood mapping algorithm to fully automatically produce large-scale results and how key data of an event can be derived from these results.

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基于哨兵1号的巴基斯坦2022年严重洪水分析

摘要2022年8月至9月，巴基斯坦遭受严重洪灾，数百万人受到影响。利用Technische Universität Wien (TU Wien)为哥白尼应急管理服务(CEMS)全球洪水监测(GFM)组件开发的基于sentinel -1的洪水测绘算法，记录了2022年8月10日至9月23日洪水的传播情况。使用CEMS快速制图组件的洪水图对结果进行了评估。总体而言，该算法的性能相当好，临界成功指数高达80%，而检测到的差异主要归因于算法结果与相应参考文献的时差。在6周的时间跨度内，观测到30 492平方公里的面积至少被淹没一次，8月30日发现最大程度。该研究证明了TU Wien洪水映射算法完全自动生成大规模结果的能力，以及如何从这些结果中获得事件的关键数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Natural Hazards and Earth System Sciences 地学-地球科学综合

CiteScore

7.60

自引率

6.50%

发文量

192

审稿时长

3.8 months

期刊介绍： Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.