基于遥感的森林生长监测研究

Li Shujian, Peng Daoli
{"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}
引用次数: 0

摘要

森林生长状况是植被监测的重要指标。及时掌握这些信息可以帮助我们对森林资源进行管理,有效地预测和控制森林有害生物。遥感技术的发展和应用为日益增长的状态监测提供了新的途径。本文利用遥感获得的植被信息,阐述了监测方法和指标。在此基础上,提出了一种基于NDVI的监测模型,并给出了ANN - CA监测预测模型的设计、工作原理。最后,对生长状态远程监控存在的一些问题进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fault detection of Inter-turn Short-circuit in Rotor windings based on hybrid programming of MATLAB and VC++ Comparison between ETM+ imageries and ICESat-GLAS waveforms for forest classification Effective keyword search for High Frequency LCAs over XML documents An ID-based broadcast encryption scheme for hierarchical wireless sensor networks A study of stability of inter-organization relationships between enterprises
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1