{"title":"Detecting siberian silk moth damage in central siberia using multi-temporal MODIS data","authors":"K. Kovacs, K. Ranson, V. Kharuk","doi":"10.1109/AMTRSI.2005.1469833","DOIUrl":null,"url":null,"abstract":"As part of a NASA supported Siberian disturbance mapping project, the capabilities of multi- temporal MODIS data to detect insect damage in the boreal forest were evaluated. Multi-temporal in the context of this study includes both multi-annual and multi- seasonal data. More specifically, the aim of this study was to ascertain what combination of multi-temporal MODIS Enhanced Vegetation Index (EVI) and Middle Infrared (MIR) data is best for detecting insect disturbance with or without a priori knowledge.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMTRSI.2005.1469833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
As part of a NASA supported Siberian disturbance mapping project, the capabilities of multi- temporal MODIS data to detect insect damage in the boreal forest were evaluated. Multi-temporal in the context of this study includes both multi-annual and multi- seasonal data. More specifically, the aim of this study was to ascertain what combination of multi-temporal MODIS Enhanced Vegetation Index (EVI) and Middle Infrared (MIR) data is best for detecting insect disturbance with or without a priori knowledge.