Mapping Soil Salinity and Waterlogging in the Ghataprabha Command Area, Karnataka, India: Insights from Sentinel-2 Multispectral Imagery and Ground Truth Validation

Soil salinity and waterlogging pose significant threats to agricultural productivity in irrigated command areas, particularly in semi-arid regions like the Ghataprabha command area in Karnataka, India. This study leverages Sentinel-2 multispectral imagery from March 2024, processed via Google Earth Engine, to delineate salinity classes and assess their spectral signatures. Ground truth data from 120 soil samples (0-30 cm depth) were used to validate electrical conductivity (ECe) levels ranging from 12 dS m-1. Key spectral bands (Blue, Green, Red, NIR, SWIR1) and indices (NDVI, NDSI, RVI, SAVI, SASI, NDWI, EVI, SBI, SI, SI1, CSI, SI2) were analysed for correlations with ECe. Results reveal strong linear relationships in individual bands (r = 0.98-0.99, p < 0.01) and a multiple regression model (R2 = 1) incorporating all bands. Vegetation indices like EVI showed moderate negative correlations (r = -0.26, p < 0.01), while salinity-specific indices exhibited weaker associations. The approach achieved high accuracy in mapping salinity extents, highlighting Sentinel-2's efficacy for operational monitoring in tropical semi-arid agroecosystems.