DocumentCode :
2140451
Title :
The research of forest growth monitoring based on remote sensing
Author :
Shujian, Liu ; Daoli, Peng
Author_Institution :
Beijing Forestry University, The Key Laboratory for Silviculture and Conservation of Ministry of Education, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
7056
Lastpage :
7060
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.
Keywords :
Agriculture; Estimation; Forestry; Indexes; Monitoring; Remote sensing; Vegetation mapping; ANN-CA model; NDVI improved model; forest growing condition; remote monitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5690894
Filename :
5690894
Link To Document :
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