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利用谷歌地球引擎在印度西孟加拉邦的普鲁巴梅迪纳普尔进行超级气旋 Yaas 引发的洪水测绘和损失评估。

Flood mapping and damage assessment due to the super cyclone Yaas using Google Earth Engine in Purba Medinipur, West Bengal, India.

机构信息

Institute of Forest Productivity, Ranchi, 835303, Jharkhand, India.

出版信息

Environ Monit Assess. 2022 Oct 12;194(12):869. doi: 10.1007/s10661-022-10574-y.

Abstract

This study maps flood inundation and estimates the damage caused by super cyclone Yaas in Purba Medinipur, India. We used Google Earth Engine (GEE) to create a flood inundation map of the research area using pre and post-cyclone Sentinel-1 SAR data. Using ESRI 2020 land cover data, flood damage was analysed. The flood affected 5% (239.69 km) of the land of Purba Medinipur. The northern and southern regions were affected the most. 95% and 3% of the total flooded area are comprised of agricultural and vegetation, respectively. Kolaghat (24 km) and Nandigram-II (1 km) sustained the greatest damage to both agriculture and vegetation. The areas below 18 m were impacted by flooding, with the worst damage occurring below 5 m. The GEE platform was cost-effective, efficient, and faster at calculating with enhanced precision. The outcomes of this study will aid in the management of cyclone-induced hazards. We advocate planting native and salt-tolerant crops to reduce flood damage.

摘要

本研究绘制了洪水淹没范围图,并估算了印度帕布纳梅迪纳普尔超级气旋“雅司”造成的损失。我们使用谷歌地球引擎(GEE),利用风暴前后的哨兵-1 SAR 数据,为研究区域创建了洪水淹没图。利用 ESRI 2020 年的土地覆盖数据,分析了洪水造成的损失。洪水影响了帕布纳梅迪纳普尔 5%(239.69 公里)的土地。受影响最严重的是北部和南部地区。总淹没面积的 95%和 3%分别由农业用地和植被构成。Kolaghat(24 公里)和 Nandigram-II(1 公里)的农业和植被损失最大。18 米以下地区受到洪水影响,5 米以下地区受灾最严重。GEE 平台具有成本效益,计算效率高,精度更高。本研究的结果将有助于管理气旋引发的灾害。我们提倡种植本地和耐盐作物,以减少洪水造成的损失。

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