Soil Moisture Mapping with Polarimetric SAR in Huanghe Delta of China

The objective of this paper is to use the partial least squares regression as a modeling method to establish the relationship between soil moisture and polarimetric decomposition parameters which are obtained by T3 matrix and \mathrm{H}/\mathrm{A}/\alpha polarimetric decomposition with full-polariza...

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Bibliographic Details
Main Authors: Lan, Lihua, Zhang, Tingting, Shao, Yun, Ju, Zhengshan, Chai, Xun
Format: Conference Proceeding
Language:English
Subjects:
Active matrix organic light emitting diodes
Correlation
Load modeling
Matrix decomposition
Radar polarimetry
Remote sensing
Soil moisture
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Summary:The objective of this paper is to use the partial least squares regression as a modeling method to establish the relationship between soil moisture and polarimetric decomposition parameters which are obtained by T3 matrix and \mathrm{H}/\mathrm{A}/\alpha polarimetric decomposition with full-polarization RADARSAT-2 SAR image. The results show that the parameter set of T3 matrix have the minimum accuracy comparing with the other three decomposition ways of the \mathrm{H}/\mathrm{A}/\alpha . The best results of the \mathrm{H}/\mathrm{A}/\alpha is the Eigenvector parameter set. However, it is still lower than the inversion of parameter combinations with R2 of 0.84 for calibration and R2 of 0.77 for validation. It indicates that the polarimetric decomposition parameters can be used for mapping soil moisture in Huanghe Delta.
ISSN:2153-7003
DOI:10.1109/IGARSS39084.2020.9324034