Retrieval of soil moisture in Zhangye Prefecture based on Radarsat-2 data

WANG Ruixin; SONG Xiaoning; MA Jianwei; SUN Chuan

doi:10.7523/j.issn.2095-6134.2018.03.007

Journal of University of Chinese Academy of Sciences >

2018 , Vol. 35 >Issue 3: 327 - 335

DOI: https://doi.org/10.7523/j.issn.2095-6134.2018.03.007

Retrieval of soil moisture in Zhangye Prefecture based on Radarsat-2 data

WANG Ruixin ,
SONG Xiaoning ,
MA Jianwei ,
SUN Chuan

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1 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China;
2 China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Received date: 2017-04-07

Revised date: 2017-05-08

Online published: 2018-05-15

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Abstract

Soil moisture is an important parameter in hydrology, agriculture, ecology, and many other research fields. A simplified model for the retrieval of soil moisture is established in the paper. The simplified model improves inversion accuracy by incorparating the characteristics of qual polarization radar data and eliminates roughness in model. The results show that VV/HH, VV/VH, and HH/HV can be used in the inversion of soil moisture in the bare soil region and the VV/VH polarization combination performs the best. In this paper we use Radarsat-2 data to retrieve the soil moisture in bare soil and plant areas in the middle basin of Heihe River and use field survey data to verify the results. The results show that the VV/VH polarization combination inversion results are in good agreement with the field survey results and the RMSE values in the bare and plant areas are 0.006 and 0.017cm³·cm^-3, respectively. The VV/VH polarization can be used to invert the soil water content in the bare soil region. This work has laid a foundation for quick and accurate acquirement of the regional soil moisture.

Key words： soil moisture; Radarsat-2; experience model; AIEM

Cite this article

WANG Ruixin , SONG Xiaoning , MA Jianwei , SUN Chuan . Retrieval of soil moisture in Zhangye Prefecture based on Radarsat-2 data[J]. Journal of University of Chinese Academy of Sciences, 2018 , 35(3) : 327 -335 . DOI: 10.7523/j.issn.2095-6134.2018.03.007

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