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The effect of row structure on soil moisture retrieval accuracy from passive microwave data.

Xingming Z, Kai Z, Yangyang L, Jianhua R, Yanling D - ScientificWorldJournal (2014)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: 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.

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 (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.

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Related in: MedlinePlus

Field and retrieved volumetric soil moisture (cm3/cm3).
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Related In: Results  -  Collection


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fig6: Field and retrieved volumetric soil moisture (cm3/cm3).

Mentions: Based on the measured multiangle C-band brightness temperature and the sampling soil and vegetation parameters, soil moisture can be retrieved by integrating discrete model and Qp model using nonlinear least square method. The absolute error of retrieval soil moisture is 0.017 cm3/cm3 for row structure rough surface assumption. The absolute error of retrieval soil moisture is 0.021 cm3/cm3 for flat rough surface assumption (Figure 6).


The effect of row structure on soil moisture retrieval accuracy from passive microwave data.

Xingming Z, Kai Z, Yangyang L, Jianhua R, Yanling D - ScientificWorldJournal (2014)

Field and retrieved volumetric soil moisture (cm3/cm3).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4216705&req=5

fig6: Field and retrieved volumetric soil moisture (cm3/cm3).
Mentions: Based on the measured multiangle C-band brightness temperature and the sampling soil and vegetation parameters, soil moisture can be retrieved by integrating discrete model and Qp model using nonlinear least square method. The absolute error of retrieval soil moisture is 0.017 cm3/cm3 for row structure rough surface assumption. The absolute error of retrieval soil moisture is 0.021 cm3/cm3 for flat rough surface assumption (Figure 6).

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: 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.

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 (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.

Show MeSH
Related in: MedlinePlus