Title : 
Radarsat data for Siberian plain ecosystems classification
         
        
            Author : 
Im, S.T. ; Gorodzankina, S.M. ; Kharuk, V.I. ; Ranson, K.J.
         
        
            Author_Institution : 
Sukachev Inst. of Forest, Krasnoyarsk, Russia
         
        
        
        
        
        
            Abstract : 
Radarsat data validity in classification of Siberian plain taiga ecosystems along the Yenisei River (IGBP transect, 90°E) was analyzed. Six test areas were selected. Those areas represent a variety of the main ecosystem and physical-geographical conditions from the tundra to the southern taiga (forest) zones. The analysis of Radarsat signal amplitude, textural characteristics and digital elevation fused data allowed the detection of 18 on-ground classes. For the purpose of classification the importance of parameters are arranged as follows: relief, signal amplitude, skewness, variance, mean Euclidean distance and kurtosis. The main advantage of the Radarsat data is its ability to detect hydromorphic elements (7 bog types were determined).
         
        
            Keywords : 
forestry; geophysical signal processing; remote sensing by radar; spaceborne radar; vegetation mapping; Radarsat data; Siberian plain ecosystems; Yenisei river; forest; hydromorphic elements; kurtosis; mean Euclidean distance; physical geographical conditions; signal amplitude; southern taiga zones; Ecosystems; Electronic mail; Euclidean distance; Layout; Radar detection; Rivers; Satellites; Signal analysis; Testing; Vegetation mapping;
         
        
        
        
            Conference_Titel : 
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
         
        
            Print_ISBN : 
0-7803-7929-2
         
        
        
            DOI : 
10.1109/IGARSS.2003.1294509