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 ther...

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Main Authors: Zheng Xingming, Zhao Kai, Li Yangyang, Ren Jianhua, Ding Yanling
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/964837
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spelling doaj-2399b237ee1046058414a58a2d58cfe02020-11-24T21:45:14ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/964837964837The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave DataZheng Xingming0Zhao Kai1Li Yangyang2Ren Jianhua3Ding Yanling4Northeast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaNortheast Institute of Geographical and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaRow 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 (Qp model and discrete model), including the effect of row structure, and flat rough surface assumption (Qp 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.http://dx.doi.org/10.1155/2014/964837
collection DOAJ
language English
format Article
sources DOAJ
author Zheng Xingming
Zhao Kai
Li Yangyang
Ren Jianhua
Ding Yanling
spellingShingle Zheng Xingming
Zhao Kai
Li Yangyang
Ren Jianhua
Ding Yanling
The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data
The Scientific World Journal
author_facet Zheng Xingming
Zhao Kai
Li Yangyang
Ren Jianhua
Ding Yanling
author_sort Zheng Xingming
title The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data
title_short The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data
title_full The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data
title_fullStr The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data
title_full_unstemmed The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data
title_sort effect of row structure on soil moisture retrieval accuracy from passive microwave data
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description 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 (Qp model and discrete model), including the effect of row structure, and flat rough surface assumption (Qp 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.
url http://dx.doi.org/10.1155/2014/964837
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