Iterative Inversion of Canopy Biomass and Surface Moisture  by Using Multi-Order Mueller Matrix Solution  of Vector Radiative Transfer Equation

LIANG Zi  chang; JIN Ya  qiu

doi:10.11834/jrs.20040302

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Iterative Inversion of Canopy Biomass and Surface Moisture by Using Multi-Order Mueller Matrix Solution of Vector Radiative Transfer Equation
Issue 3, Pages: 201-206(2004)
Published：2004
DOI： 10.11834/jrs.20040302
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[1]梁子长,金亚秋.用多阶Mueller矩阵解对非均匀地表植被生物量和土壤湿度的迭代反演[J].遥感学报,2004(03):201-206. DOI： 10.11834/jrs.20040302.

LIANG Zi chang, JIN Ya qiu. Iterative Inversion of Canopy Biomass and Surface Moisture by Using Multi-Order Mueller Matrix Solution of Vector Radiative Transfer Equation[J]. Journal of Remote Sensing, 2004, (3): 201-206. DOI： 10.11834/jrs.20040302.

摘要

根据一层随机非球形粒子矢量辐射传输方程的一阶与高阶Mueller矩阵解的数值模拟及其差异

提出了在一些参数已知的条件下

用水平与垂直同极化和交叉极化的后向散射测量反演植被覆盖下地表湿度和植被散射元单位面积占空比的迭代方法。利用模拟测量数据以及机载合成孔径雷达（AirSAR）实测数据

对不同土壤湿度和单位面积占空比的情况进行了反演试验

Abstract

Based on numerical difference between the first order and high order Mueller matrix solutions

an iterative method for inversion of surface moisture and fraction per unit area of random small spheroids from polarimetric backscattering measurement is developed. Using numerical simulation and measured AirSAR data of polarimetric Mueller matrix

the inversion of different surface moisture and fraction per unit area are studied.

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