{"title":"利用多时相MODIS数据检测西伯利亚中部地区西伯利亚蚕蛾危害","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":"{\"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}","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}
Detecting siberian silk moth damage in central siberia using multi-temporal MODIS data
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
