Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods

ECWS-7 2023 Pub Date : 2023-04-03 DOI:10.3390/ecws-7-14312
A. Sajjad, Jianzhong Lu, Rana Waqar Aslam, Muhammad Ahmad
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Abstract

: Remote sensing images are an essential tool for mapping the amount of flood inundation after flood events. For early flood estimation, flood mapping is a crucial component. This study used an integration of geospatial techniques to evaluate the flood extent in District Dera Ghazi Khan, Pakistan. The modified normalized difference water index (MNDWI) was utilized to estimate the flood extent using Landsat data. For a thorough flood investigation, pre-flood, during, and post-flood images were obtained. The analysis enabled us to delineate flood extent as well as flood duration. The result showed that the flood continued for nearly 5 weeks in the study area. This proposed geospatial technique provides a framework for the identification of inundated areas, which allows emergency responses to be focused on newly flooded areas. Hence, the current study offers a novel perspective on flood mapping and significantly contributes to flood monitoring.
利用地理空间技术绘制洪水灾害:以2022年巴基斯坦洪水为例
遥感图像是洪水事件后绘制洪水淹没量的重要工具。对于早期洪水估算,洪水制图是一个至关重要的组成部分。本研究使用地理空间综合技术评估了巴基斯坦Dera Ghazi Khan地区的洪水范围。利用修正的归一化差水指数(MNDWI)对Landsat数据进行洪水范围估算。为了进行彻底的洪水调查,我们获得了洪水前、洪水期间和洪水后的图像。分析使我们能够划定洪水的范围和持续时间。结果表明,洪水在研究区持续了近5周。这一拟议的地理空间技术为确定被淹没地区提供了一个框架,使应急反应能够集中在新被淹没的地区。因此,本研究为洪水制图提供了新的视角,对洪水监测具有重要意义。
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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