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