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Surface soil moisture estimation of Palur watershed by the synergistic use of optical and SAR data

Deva Jefflin AR, Geetha Priya M

Abstract


The present study is carried out to estimate the surface soil moisture in the semi-arid agricultural watershed using satellite remote sensing data. The study was carried out in the Palur watershed located in the Attappadi, upper Bhavani river basin. The surface soil moisture of the study area has been estimated using a vegetative scattering model commonly known as Water Cloud Model (WCM). For retrieving surface soil moisture (SSM) under conditions of partial vegetation cover is based on the synergy between Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical data. To remove the effect of vegetation on SSM retrieval, the theSentinel-2spectral index is applied to build a model for the vegetation water content estimation. The in-situ measurement of surface soil moisture was carried out twice in the study area. The satellite and in-situ surface soil moisture provide a good correlation between them. The information and methodology generated in the study can aid in spatiotemporal monitoring of the region’s soil moisture for sustainable agricultural water management.

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DOI: https://doi.org/10.37591/jscrs.v7i2.1647

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