{"title":"基于SENTINEL-1图像的Amphan洪灾制图","authors":"Prachi Kaushik, S. Jabin","doi":"10.1109/GlobConPT57482.2022.9938199","DOIUrl":null,"url":null,"abstract":"The thematic and disaster response maps prepared after the SAR analysis can aid the government, non-government, and business-specific needs in crucial decision making. It has been shown to be a quick and cost-effective way to provide a quick first-hand reaction to a disaster occurrence in locations where topography is unknown. We performed flood extent mapping in some parts of the worst-affected districts of West Bengal after the Amphan cyclone using SAR images with the cloud platform Google Earth engine. A real-time approach for identifying flood water based on automatic categorization and generating flood extent maps to access the damage is designed using the K-Means clustering algorithm on the sentinel-1 images. The clustering results for East Medinipur district revealed a clear estimate of 52,037 hectares of geographically flooded region. Flooding has affected 18,002 individuals, destroying 9,575 hectares of crops and 1,931 hectares of urban areas as a result of the cyclonic floods. In this work, an attempt has been made to use SAR satellites to detect floods and flood-affected areas in real-time.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Flood Mapping of Amphan Disaster Using SENTINEL-1 IMAGES\",\"authors\":\"Prachi Kaushik, S. Jabin\",\"doi\":\"10.1109/GlobConPT57482.2022.9938199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The thematic and disaster response maps prepared after the SAR analysis can aid the government, non-government, and business-specific needs in crucial decision making. It has been shown to be a quick and cost-effective way to provide a quick first-hand reaction to a disaster occurrence in locations where topography is unknown. We performed flood extent mapping in some parts of the worst-affected districts of West Bengal after the Amphan cyclone using SAR images with the cloud platform Google Earth engine. A real-time approach for identifying flood water based on automatic categorization and generating flood extent maps to access the damage is designed using the K-Means clustering algorithm on the sentinel-1 images. The clustering results for East Medinipur district revealed a clear estimate of 52,037 hectares of geographically flooded region. Flooding has affected 18,002 individuals, destroying 9,575 hectares of crops and 1,931 hectares of urban areas as a result of the cyclonic floods. In this work, an attempt has been made to use SAR satellites to detect floods and flood-affected areas in real-time.\",\"PeriodicalId\":431406,\"journal\":{\"name\":\"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GlobConPT57482.2022.9938199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GlobConPT57482.2022.9938199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Flood Mapping of Amphan Disaster Using SENTINEL-1 IMAGES
The thematic and disaster response maps prepared after the SAR analysis can aid the government, non-government, and business-specific needs in crucial decision making. It has been shown to be a quick and cost-effective way to provide a quick first-hand reaction to a disaster occurrence in locations where topography is unknown. We performed flood extent mapping in some parts of the worst-affected districts of West Bengal after the Amphan cyclone using SAR images with the cloud platform Google Earth engine. A real-time approach for identifying flood water based on automatic categorization and generating flood extent maps to access the damage is designed using the K-Means clustering algorithm on the sentinel-1 images. The clustering results for East Medinipur district revealed a clear estimate of 52,037 hectares of geographically flooded region. Flooding has affected 18,002 individuals, destroying 9,575 hectares of crops and 1,931 hectares of urban areas as a result of the cyclonic floods. In this work, an attempt has been made to use SAR satellites to detect floods and flood-affected areas in real-time.