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The Scientific World Journal
Volume 2014, Article ID 964837, 7 pages
http://dx.doi.org/10.1155/2014/964837
Research Article

The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data

1Northeast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
2Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, Changchun 130102, China

Received 18 May 2014; Accepted 3 September 2014; Published 15 October 2014

Academic Editor: Catherine Ottle

Copyright © 2014 Zheng Xingming et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 ( model and discrete model), including the effect of row structure, and flat rough surface assumption ( 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 cm3/cm3 better than the flat rough surface assumption for vegetated soil, as well as 0.015 cm3/cm3 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.