SOIL MOISTURE RETRIEVAL OVER AGRICULTURAL FIELDS FROM TIME SERIES MULTI-ANGULAR L-BAND RADAR DATA

被引:0
作者
Zhu, Liujun [1 ]
Walker, Jeffrey P. [1 ]
Tsang, Leung [2 ]
Huang, Huanting [2 ]
Ye, Nan [1 ]
Rudiger, Christoph [1 ]
机构
[1] Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia
[2] Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
来源
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
基金
澳大利亚研究理事会;
关键词
Soil moisture; SAR; multi-angular; multi-temporal;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A time series multi-angular method was presented towards combining space-borne radar data acquired from both descending and ascending orbits with different observation modes in soil moisture retrieval. Inherit from multi-temporal based retrieval methods, the method assumes time-invariant roughness and vegetation, but not requires incidence angle normalization. The numerical Maxwell model of three-dimensional simulations and distorted Born approximation (NMM3D-DBA) were used to build a set of multi-angular data cubes (3 dimension look up table). Genetic algorithm (GA) was used to minimize the difference between data cubes and radar observations with the constraint of drying down soil moisture. Evaluation based on the fifth Soil Moisture Active Passive Experiment (SMAPEx-5) dataset shows an overall root mean square error (RMSE) of 0.07 cm(3)/cm(3) at the 50-m pixel scale.
引用
收藏
页码:6139 / 6142
页数:4
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