Institute of Forest Productivity, Ranchi, 835303, Jharkhand, India.
Environ Monit Assess. 2022 Oct 12;194(12):869. doi: 10.1007/s10661-022-10574-y.
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.
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。