SOIL MOISTURE MAPPING WITH POLARIMETRIC SAR IN HUANGHE DELTA OF CHINA

被引：0

作者：

Lan, Lihua ^{[1
]}

Zhang, Tingting ^{[1
,2
]}

Shao, Yun ^{[1
,2
]}

Ju, Zhengshan ^{[3
]}

Chai, Xun ^{[4
,5
]}

机构：

[1] Deqing Acad Satellite Applicat, Lab Target Microwave Properties, Deqing 313200, Zhejiang, Peoples R China

[2] Chinese Acad Sci, Aerosp Informat Res Inst, Datun Rd, Beijing 100101, Peoples R China

[3] Minist Nat Resources, Land Consolidat & Rehabil Ctr, Beijing, Peoples R China

[4] Minist Nat Resources, Urban Rural Planning Adm Ctr, Beijing, Peoples R China

[5] China Land Surveying & Planning Inst, Beijing, Peoples R China

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

ENTROPY;

D O I：

10.1109/IGARSS39084.2020.9324034

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 H/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 H/A/alpha. The best results of the H/A/alpha is the Eigenvector parameter set. However, it is still lower than the inversion of parameter combinations with R-2 of 0.84 for calibration and R-2 of 0.77 for validation. It indicates that the polarimetric decomposition parameters can be used for mapping soil moisture in Huanghe Delta.

引用

页码：4566 / 4569

页数：4

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