Potential of soil moisture retrieval for tropical peatlands in Indonesia using ALOS-2 L-band full-polarimetric SAR data
In this paper, a soil moisture retrieval from full-polarimetric synthetic aperture radar (SAR) data is investigated for sparsely vegetated soil surfaces. An improved retrieval method adapting the variations in vegetation is proposed by incorporating the generalized volume model into
the polarimetric two-scale two-component model (PTSTCM). The feasibility of the method, termed as the adaptive PTSTCM, has been tested for tropical peatland sites in Indonesia which exhibit a variety of sparse vegetation cover on soil after land clearing activities. The [Inline formula] [Inline
formula] data were collected in March and August 2017 with the time domain reflectometry (TDR) probe for a total of 18 sample points over 11 regions. The method was applied to ALOS-2 L-band quad-pol SAR data that were acquired simultaneously with field measurements. We compared the results
between the proposed adaptive PTSTCM and the original PTSTCM that utilizes specific types of volume model (i.e., randomly, horizontally, and vertically oriented volume models). Scatterplots of estimated versus measured [Inline formula] [Inline formula] results reveal that the adaptive PTSTCM
yields a root-mean-square error (RMSE) of 5.1vol.[Inline formula] and inversion rate of 35.0[Inline formula] and 58.5[Inline formula] for March and August data, respectively, which are found to be superior to those of the original PTSTCM.
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Document Type: Research Article
Graduate School of Environmental Studies, Tohoku University, Sendai, Japan
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan
Engineering Geology Program, Faculty of Engineering, Universitas Islam Riau, Kota Pekanbaru, Indonesia
Electrical and Electronic Faculty of Engineering, Mersin University, Mersin, Turkey
Center for Environmental Remote Sensing (CEReS), Chiba University, Chiba, Japan
August 3, 2019
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