M (2026) Field and laboratory data for assessing soil salinity and crop stress using Sentinel-2

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-01-14
• Authors: Bharthisha S M
• DOI: 10.17632/963h6nmnyj.1

Research Groups

University of Agricultural Sciences Dharwad

Short Summary

This study utilized Sentinel-2 imagery and ground truth data to assess soil salinity and crop stress in a semi-arid region of India, demonstrating strong correlations between spectral bands and electrical conductivity for accurate salinity mapping.

Objective

• To delineate soil salinity classes and assess their spectral signatures using Sentinel-2 multispectral imagery, and to evaluate the efficacy of this approach for operational monitoring in tropical semi-arid agroecosystems.

Study Configuration

• Spatial Scale: Ghataprabha command area in Karnataka, India; tropical semi-arid agroecosystems.
• Temporal Scale: March 2024.

Methodology and Data

• Models used: Google Earth Engine (for processing).
• Data sources: Sentinel-2 multispectral imagery; Ground truth data from 120 soil samples (0-30 cm depth) for electrical conductivity (ECe) validation.

Main Results

• Strong linear relationships were found between individual spectral bands (Blue, Green, Red, NIR, SWIR1) and ECe (r = 0.98-0.99, p < 0.01).
• A multiple regression model incorporating all bands achieved a high coefficient of determination (R² = 1) for ECe prediction.
• Vegetation indices like EVI showed moderate negative correlations with ECe (r = -0.26, p < 0.01), while salinity-specific indices exhibited weaker associations.
• The approach achieved high accuracy in mapping salinity extents.

Contributions

• Demonstrated the high efficacy of Sentinel-2 multispectral imagery, combined with ground truth data and Google Earth Engine processing, for accurate and operational monitoring of soil salinity in tropical semi-arid agroecosystems. This provides a robust method for assessing agricultural threats in such regions.

Funding

• Not explicitly mentioned in the provided text.

Citation

@article{M2026Field,
  author = {M, Bharthisha S},
  title = {Field and laboratory data for assessing soil salinity and crop stress using Sentinel-2},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/963h6nmnyj.1},
  url = {https://doi.org/10.17632/963h6nmnyj.1}
}