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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Online Access: | http://dx.doi.org/10.1155/2014/964837 |
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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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