caa a22 4500 445299851 CHVBK 20180317142553.0 cr unu---uuuuu 170323e20100701xx s 000 0 eng 10.1007/s11430-010-0055-6 doi (NATIONALLICENCE)springer-10.1007/s11430-010-0055-6 Improvement of a 3D radar backscattering model using matrix-doubling method [Elektronische Daten] [WenJian Ni, ZhiFeng Guo, GuoQing Sun] Radiative transfer models have been widely used to simulate the radar backscattering from forested areas. A three-dimensional radar backscatter model of forest canopy developed in previous studies takes full account of spatial position of trees in a forest stand, and the interactions among crown, trunk and ground surface. The model predicted well for the co-polarized backscatter measurements, but underestimated the backscattering for cross-polarization, primarily because only the first-order scattering within tree crowns was considered in the model. The backscattering at cross-polarization depends strongly on multiple scattering within tree crowns. To produce good estimations for cross-polarized component, the matrix-doubling method is employed here to compute multiple-scattering within the crown. The modified model is compared with the original model, and the field forest measurements and AIRSAR data are used for validation of the modified model. The cross-polarization backscattering is improved in different degrees for different crown structures and at different bands. Science China Press and Springer-Verlag Berlin Heidelberg, 2010 remote sensing nationallicence forestry nationallicence electromagnetic propagation nationallicence radar backscattering model nationallicence matrix-doubling nationallicence Ni WenJian State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Guo ZhiFeng State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut Sun GuoQing Department of Geography, University of Maryland, 27042, College Park, MD, USA aut Science China Earth Sciences SP Science China Press 53/7(2010-07-01), 1029-1035 1674-7313 53:7<1029 2010 53 11430 https://doi.org/10.1007/s11430-010-0055-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-010-0055-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ni WenJian State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Guo ZhiFeng State Key Laboratory of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, Beijing, China aut NATIONALLICENCE 700 1- Sun GuoQing Department of Geography, University of Maryland, 27042, College Park, MD, USA aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science China Press 53/7(2010-07-01), 1029-1035 1674-7313 53:7<1029 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer