{"title":"Flood Risk and Inundation Mapping of Assam using an Approach based on Geospatial Technology","authors":"Anna C. Berlin, V. R. Chowdhary, N. Menon","doi":"10.1109/PuneCon55413.2022.10014729","DOIUrl":null,"url":null,"abstract":"Flooding is one of the most prevalent natural disasters in Assam, India, occurring on a yearly basis. In this paper, a Geographic Information System (GIS) approach is applied, with the help of remote sensing data, to create a flood risk map of the state of Assam. This map is based on five important parameters: population, land use/land cover, elevation, precipitation and distance to the nearest water body. Furthermore, Sentinel-1 data is used to create an inundation map of the most recent flood, which occurred during June of 2022. Both aspects of this research help to assess the situation on ground during a flood and to improve the flood management and preparedness for future flood scenarios.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"21 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Pune Section International Conference (PuneCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PuneCon55413.2022.10014729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Flooding is one of the most prevalent natural disasters in Assam, India, occurring on a yearly basis. In this paper, a Geographic Information System (GIS) approach is applied, with the help of remote sensing data, to create a flood risk map of the state of Assam. This map is based on five important parameters: population, land use/land cover, elevation, precipitation and distance to the nearest water body. Furthermore, Sentinel-1 data is used to create an inundation map of the most recent flood, which occurred during June of 2022. Both aspects of this research help to assess the situation on ground during a flood and to improve the flood management and preparedness for future flood scenarios.
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