The effect of row structure on soil moisture retrieval accuracy from passive microwave data.
Row structure causes the anisotropy of microwave brightness temperature (TB) of soil surface, and it also can affect soil moisture retrieval accuracy when its influence is ignored in the inversion model. To study the effect of typical row structure on the retrieved soil moisture and evaluate if there is a need to introduce this effect into the inversion model, two ground-based experiments were carried out in 2011. Based on the observed C-band TB, field soil and vegetation parameters, row structure rough surface assumption (Q p model and discrete model), including the effect of row structure, and flat rough surface assumption (Q p model), ignoring the effect of row structure, are used to model microwave TB of soil surface. Then, soil moisture can be retrieved, respectively, by minimizing the difference of the measured and modeled TB. The results show that soil moisture retrieval accuracy based on the row structure rough surface assumption is approximately 0.02 cm(3)/cm(3) better than the flat rough surface assumption for vegetated soil, as well as 0.015 cm(3)/cm(3) better for bare and wet soil. This result indicates that the effect of row structure cannot be ignored for accurately retrieving soil moisture of farmland surface when C-band is used.
Northeast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, China ; Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, Changchun 130102, China.
Zheng
Z
Xingming
Northeast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, China ; Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, Changchun 130102, China.
Zhao
Z
Kai
Northeast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Li
L
Yangyang
Northeast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Ren
R
Jianhua
Northeast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Ding
D
Yanling
D016880:Anisotropy; D017753:Ecosystem; D004784:Environmental Monitoring; D008872:Microwaves; D008962:Models, Theoretical; D012987:Soil / Q000737:chemistry*; D013499:Surface Properties; D014867:Water / Q000737:chemistry*
D012987:Soil; D014867:Water