题名：Retrieving canopy height and density of paddy rice from Radarsat-2 images with a canopy scattering model
领域：REMOTE SENSING 三区
来源：International Journal of Applied Earth Observation and Geoinformation
发表年代：2014年
作者：Yuan Zhang*, Xiaohui Liu, Shiliang Su and Cuizhen Wang
Quantification of rice biophysical properties is important not only for rice growth monitoring and crop-ping management, but for understanding carbon cycle in agricultural ecosystems. In this study, a ricecanopy scattering model (RCSM) was firstly utilized to simulate rice backscatter with a root mean squareerror (RMSE) <1 dB in comparison with the C-band, HH-polarization Radarsat-2 images. And then, byintegrating the model with a generic algorithm optimization tools (GOAT), canopy height and densitywere separately retrieved from Radarsat-2 images acquired in three rice growth stages (elongation stage,heading stage and yellow ripening stage). Accuracy analysis showed that the two parameters could beretrieved with the RMSE of 5.4 cm in height, and 26 (#/m2) in density. The study demonstrated thepotential of Radarsat-2 SAR data for quantitative mapping of biophysical parameters of paddy rice.
