Suppr超能文献

评估“安攀”气旋对印度西孟加拉邦的影响:多传感器方法。

Assessing the impacts of Amphan cyclone over West Bengal, India: a multi-sensor approach.

机构信息

Centre for the Study of Regional Development, Jawaharlal Nehru University, New Delhi, India.

Department of Geography, Sikkim University, Gangtok, Sikkim, India.

出版信息

Environ Monit Assess. 2021 Apr 19;193(5):283. doi: 10.1007/s10661-021-09071-5.

Abstract

Landfall of the Amphan (very severe cyclonic storm) occurred at 1730 hrs Indian Standard Time (IST) on May 20, 2020, near the West Bengal (W.B.) coast of India. High wind speed, storm surge, and torrential rainfall-induced flooding caused devastation in W.B. The present study aims to analyse the impacts of Amphan cyclone on land use/land cover (LULC) such as built-up area, cropland, brick-kiln industries and vegetation cover of nine districts of W.B. namely, Barddhaman, Nadia, North 24 Parganas, South 24 Parganas, Purba Medinipur, Paschim Medinipur, Haora, and Kolkata. Flood extent has been mapped using Sentinel-1A and B interferometric wide swath (IW) ground range detected (GRD) VV polarisation images dated May 22, 2020. The total actual flooded area covers 488 km of the study area. For the pre-cyclone period, LULC classification and normalised difference vegetation index (NDVI) have been done using Sentinel-2B multispectral instrument (MSI) images dated May 14, 2020. Post-cyclone NDVI has been computed using Sentinel-2B MSI images dated June 3, 2020. Flood-affected cropland covers a large chunk (88.2%) of the total actual flooded area. Mean NDVI values of non-flooded and flooded cropland and vegetation cover have been reduced between May 14, 2020, and June 3, 2020. District, block and pixel-wise changes in pre- and post-cyclone NDVI values have also been analysed. This study helps planners and policy makers to understand the district-wise flooding behavior, severity of damage to cropland and vegetation cover and to plan restriction on high-value land use in flooded low-lying areas.

摘要

安攀(强气旋风暴)于 2020 年 5 月 20 日 17 时 30 分印度标准时间(IST)在印度西孟加拉邦(WB)海岸登陆。强风、风暴潮和暴雨引发的洪水给 WB 造成了巨大破坏。本研究旨在分析安攀气旋对 WB 9 个地区的土地利用/土地覆盖(LULC)的影响,包括建成区、耕地、砖窑工业和植被覆盖。利用 Sentinel-1A 和 B 干涉式宽幅(IW)地面距离探测(GRD)VV 极化图像于 2020 年 5 月 22 日绘制了洪水范围图。总实际洪水面积覆盖研究区域的 488 公里。对于气旋前时期,使用 Sentinel-2B 多光谱仪器(MSI)于 2020 年 5 月 14 日的图像进行了 LULC 分类和归一化差异植被指数(NDVI)。气旋后 NDVI 使用 Sentinel-2B MSI 于 2020 年 6 月 3 日的图像进行了计算。受洪水影响的耕地占总实际洪水面积的很大一部分(88.2%)。2020 年 5 月 14 日至 6 月 3 日,非洪水和洪水耕地以及植被覆盖的平均 NDVI 值有所降低。还分析了气旋前和后各地区、街区和像素的 NDVI 值变化。本研究有助于规划者和决策者了解地区洪水行为、耕地和植被覆盖受损的严重程度,并计划限制在洪水低地的高价值土地利用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验