{"title":"火灾后用卫星数据编制的森林地区清单","authors":"V. Romas'ko, V. Kashkin, A. Sukhinin","doi":"10.1080/07493878.1999.10642120","DOIUrl":null,"url":null,"abstract":"The possibility of using NOAA satellite imagery with a resolution of 1.1 km for estimating the extent of burned-over areas and their age, degree of forest regeneration, and possibility of dating of past fire events is demonstrated. The results of classification by the maximum likelihood, minimum distance, and cluster analysis (multidimensional histograms) methods are presented.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"POST-FIRE INVENTORIES OF FORESTED AREAS WITH SATELLITE DATA\",\"authors\":\"V. Romas'ko, V. Kashkin, A. Sukhinin\",\"doi\":\"10.1080/07493878.1999.10642120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The possibility of using NOAA satellite imagery with a resolution of 1.1 km for estimating the extent of burned-over areas and their age, degree of forest regeneration, and possibility of dating of past fire events is demonstrated. The results of classification by the maximum likelihood, minimum distance, and cluster analysis (multidimensional histograms) methods are presented.\",\"PeriodicalId\":175956,\"journal\":{\"name\":\"Mapping Sciences & Remote Sensing\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mapping Sciences & Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07493878.1999.10642120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mapping Sciences & Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07493878.1999.10642120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
POST-FIRE INVENTORIES OF FORESTED AREAS WITH SATELLITE DATA
The possibility of using NOAA satellite imagery with a resolution of 1.1 km for estimating the extent of burned-over areas and their age, degree of forest regeneration, and possibility of dating of past fire events is demonstrated. The results of classification by the maximum likelihood, minimum distance, and cluster analysis (multidimensional histograms) methods are presented.