Estimation of Sentinel-1 derived soil moisture using modified Dubois model

Prabhavathy Settu () and Mangayarkarasi Ramaiah ()
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Prabhavathy Settu: Vellore Institute of Technology
Mangayarkarasi Ramaiah: Vellore Institute of Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 11, No 102, 29677-29693

Abstract: Abstract Surface soil moisture plays a crucial role in various fields such as climate change, agronomy, water resources, and many other scientific and engineering domains. Accurately measuring soil moisture at both regional and global scales, with high spatial and temporal resolution, is essential for predicting and managing floods, droughts, and agricultural productivity to ensure food security. The launch of Sentinel operational satellites has significantly advanced remote sensing observations, enabling scientists to estimate soil moisture more accurately at improved spatial and temporal resolutions. This study aims to assess the potential of utilizing Sentinel-1A satellite images for soil moisture estimation in a semi-arid region using the Modified Dubois Model (MDM) semi-empirical model with Topp’s model. The soil moisture estimated is validated by comparing it with field measurements, which helps in understanding the spatial variability of soil moisture across various land use classes. Results concluded that the Sentinel 1 derived soil moisture on 3rd and 15th January 2022 in comparison with the soil moisture measured using soil moisture probe (R2 = 0.68 and 0.63) and laboratory measurement (R2 = 0.72 and 0.72) are found to be well correlated and can be adapted for monitoring drought and managing water resources. The study offers a robust accuracy assessment of Sentinel 1 derived soil moisture using soil moisture probe and laboratory analysis and suggests that the framework has the potential for operational monitoring of drought conditions and water resource management in semi-arid regions at a higher spatial and temporal resolution.

Keywords: Soil moisture; Surface roughness; Modified Dubois model; Sentinel 1; Topp’s model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-024-05460-1

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