{"title":"基于遥感的森林生长监测研究","authors":"Li Shujian, Peng Daoli","doi":"10.1109/ICISE.2010.5690894","DOIUrl":null,"url":null,"abstract":"The forest growing condition is an important index of vegetation monitoring. Mastering this information timely can help us to man-age the forest resource, and predict and control the forest pest effectively. The development and application of remote sensing technique provides a new approach for the growing condition monitoring. This paper using the vegetation information which is obtained from the remote sensing, described the monitoring method and index. Furthermore, we proposed a monitoring model based on NDVI, and the design, operation principle of ANN — CA monitoring and prediction model. At the last of the paper, some existing problems of the growing condition remote monitoring were discussed.","PeriodicalId":206435,"journal":{"name":"The 2nd International Conference on Information Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The research of forest growth monitoring based on remote sensing\",\"authors\":\"Li Shujian, Peng Daoli\",\"doi\":\"10.1109/ICISE.2010.5690894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The forest growing condition is an important index of vegetation monitoring. Mastering this information timely can help us to man-age the forest resource, and predict and control the forest pest effectively. The development and application of remote sensing technique provides a new approach for the growing condition monitoring. This paper using the vegetation information which is obtained from the remote sensing, described the monitoring method and index. Furthermore, we proposed a monitoring model based on NDVI, and the design, operation principle of ANN — CA monitoring and prediction model. At the last of the paper, some existing problems of the growing condition remote monitoring were discussed.\",\"PeriodicalId\":206435,\"journal\":{\"name\":\"The 2nd International Conference on Information Science and Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd International Conference on Information Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISE.2010.5690894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Information Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISE.2010.5690894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The research of forest growth monitoring based on remote sensing
The forest growing condition is an important index of vegetation monitoring. Mastering this information timely can help us to man-age the forest resource, and predict and control the forest pest effectively. The development and application of remote sensing technique provides a new approach for the growing condition monitoring. This paper using the vegetation information which is obtained from the remote sensing, described the monitoring method and index. Furthermore, we proposed a monitoring model based on NDVI, and the design, operation principle of ANN — CA monitoring and prediction model. At the last of the paper, some existing problems of the growing condition remote monitoring were discussed.