DocumentCode :
411121
Title :
A three-dimensional radar backscatter model for larch forest using L-system
Author :
Guo, Zhifeng ; Sun, Guoqing ; Zhang, Zhongjun
Author_Institution :
Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing, China
Volume :
5
fYear :
2003
fDate :
2003
Firstpage :
3245
Abstract :
A three-dimensional backscatter model for larch forest stands is described, with an emphasis on the construction of the tree model using Lindenmayer system (L-system). This model calculates the incoherent backscatter from larch forest composed of realistic tree structures. Using L-system, tree architectures were generated faithful to the real stand tree structure. The tree models simulated by L-system give exact position information of tree architecture and are used for calculating the probability density functions of tree components and improve the precision of radar backscatter model. Here, we define five major components of the radar backscatter model: direct crown backscatter, direct ground backscatter, direct trunk backscatter, multi-path interactions between crown and ground, and double-bounce from trunk-ground interactions. Total backscatter from a simulated larch forest is computed by incoherent summation of the components. In this paper, the 3D radar model is introduced based on a description of L-system model of larch tree. Next, the polarization radar returns of larch stands are simulated and analyzed at L-, C-, X- and P-band with different incident angles. This 3D larch radar model gives reasonable results of backscattering coefficients averaged over the entire larch stands.
Keywords :
backscatter; forestry; remote sensing by radar; vegetation mapping; C-band; I-band; L-system; Lindenmayer system; P-band; X-band; direct crown backscatter; direct ground backscatter; direct trunk backscatter; incoherent backscatter; larch forest; multipath interactions; polarization; probability density functions; three-dimensional radar backscatter model; tree model; trunk-ground interactions; Backscatter; Computational modeling; Fractals; Geometry; Mathematical model; Radar remote sensing; Remote sensing; Slabs; Tree data structures; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1294744
Filename :
1294744
Link To Document :
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