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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5690894