Development of a Web-Based Analytical Framework for Soil Moisture Estimation Using Multipolarized SAR Data

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This research demonstrates a web-based framework that estimates soil moisture using SAR and optical data, suggesting practical applications.

Both NDWI+SAR and RVI+SAR achieved similar accuracy for soil moisture estimation, with R2 values between 0.6865 and 0.6951.
The study used a modified Water Cloud Model alongside ground-truth measurements from wheat fields in Australia for validation.
An integrated web system automates SAR preprocessing, vegetation index calculation, and map overlay, helping visualize soil moisture trends.
Future satellites like KOMPSAT-6 may enhance SAR-only models, indicating potential advancements in soil moisture monitoring.

Lee et al. (2025) studied this question.

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This research demonstrates a web-based framework that estimates soil moisture using SAR and optical data, suggesting practical applications.