Title : 
S-RVoG model for forest parameters inversion over underlying topography
         
        
            Author : 
Hongxi Lu ; Zhiyong Suo ; Rui Guo ; Zheng Bao
         
        
            Author_Institution : 
Nat. Lab. of Radar Signal Process., Xidian Univ., Xian, China
         
        
        
        
        
        
        
        
            Abstract : 
Since the terrain slope cannot be neglected for forest height inversion with polarimetric synthetic aperture radar interferometry (PolInSAR), a sloped random volume over ground (S-RVoG) model is proposed to correct the terrain distortion for forest parameters estimation. A significant model complexity reduction is achieved by aligning the reference frame along the local terrain slope and changing the corresponding radar geometrical configuration. The proposed S-RVoG model inversion promises to provide much more accurate estimation of forest parameters and is validated with L-band PolInSAR data produced by PolSARpro software developed by the European Space Agency (ESA).
         
        
            Keywords : 
computational complexity; radar interferometry; synthetic aperture radar; ESA; European space agency; PolInSAR; S-RVoG model; complexity reduction; forest height inversion; forest parameters inversion; parameters estimation; polarimetric synthetic aperture radar interferometry; radar geometrical configuration; sloped random volume over ground; terrain distortion; terrain slope; underlying topography;
         
        
        
            Journal_Title : 
Electronics Letters
         
        
        
        
        
            DOI : 
10.1049/el.2012.4467