Uncertainty Analysis of Water Cloud Model Calibration for Soil Moisture Retrieval from SAR Data

Koyyan, S and Ryu, D and Western, AW and Kumar, DN (2024) Uncertainty Analysis of Water Cloud Model Calibration for Soil Moisture Retrieval from SAR Data. In: International Geoscience and Remote Sensing Symposium, IGARSS 2024, 7 July 2024through 12 July 2024, Athens, pp. 4358-4361.

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Abstract

The Water Cloud Model (WCM) is a semi-empirical model widely used to simulate microwave backscattering from vegetated soil surfaces. Combined with a soil scattering model, the WCM is also employed to retrieve soil moisture content. However, the relatively simple conceptual structure of the WCM with a few model parameters may result in ill-posed calibration and poorly transferable soil moisture retrievals. In order to investigate the optimal parameter space and calibration uncertainty, we calibrated the WCM combined with a linear soil scattering model using a Markov Chain Monte Carlo (MCMC) approach and data from the SMAPVEX12 field campaign. With the validation dataset, we then retrieved the soil moisture using the optimal parameter values for VV, HH and VH polarisations. The results showed superior accuracy of VH- and HH-pol soil moisture retrievals over VV-pol retrievals in terms of the root mean squared error (RMSE) and Pearson's correlation coefficient (R). © 2024 IEEE.

Item Type:	Conference Paper
Publication:	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the publishers.
Keywords:	Intelligent systems; Soil moisture, moisture; Markov chain Monte Carlo; Markov Chain Monte-Carlo; Model calibration; Optimal parameter; SAR data; Scattering model; Soil moisture retrievals; Uncertainty; Water cloud models, Markov chains
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	27 Nov 2024 10:51
Last Modified:	27 Nov 2024 10:51
URI:	http://eprints.iisc.ac.in/id/eprint/86995

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