{"title":"Flood damage mapping in North Korea using JERS-1 DATA","authors":"Choen Kim","doi":"10.1109/IGARSS.1999.774469","DOIUrl":null,"url":null,"abstract":"Flood damage detection parameters were extracted from JERS-I OPS/SAR data over the North Korea flooded area. The NDVI values derived from JERS-1 OPS data were applied on the 3-second grid DEMs, by the coverage of which the damage area could be easily identified, depending on elevation intervals. The classified images derived from JERS-1 OPS data were analyzed in conjunction with digital elevation data and JERS-1 SAR data to yield vegetation cover type differentiation. In comparison with traditional change detection methods, flood damage coverage can be more easily produced by data fusion techniques in this paper.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.1999.774469","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
Flood damage detection parameters were extracted from JERS-I OPS/SAR data over the North Korea flooded area. The NDVI values derived from JERS-1 OPS data were applied on the 3-second grid DEMs, by the coverage of which the damage area could be easily identified, depending on elevation intervals. The classified images derived from JERS-1 OPS data were analyzed in conjunction with digital elevation data and JERS-1 SAR data to yield vegetation cover type differentiation. In comparison with traditional change detection methods, flood damage coverage can be more easily produced by data fusion techniques in this paper.