ArticleScientific reports2024
A longitudinal analysis of soil salinity changes using remotely sensed imageries.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- From Reactive Remediation to Predictive Prevention: A Systems Synthesis of Global Soil Salinization and Sodicity.Global change biology · 2026Review
- Soil and river water salinity dynamics in coastal Bangladesh.Scientific reports · 2025Article
- Regional soil salinity analysis using stepwise M5 decision tree.BMC research notes · 2025Article
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Authors and funding
4 authors.
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Abstract
Soil salinization threatens agricultural productivity, leading to desertification and land degradation. Given the challenges of conducting labor-intensive and expensive field studies and laboratory analyses on a large scale, recent efforts have focused on leveraging remote sensing techniques to study soil salinity. This study assesses the importance of soil salinity indices' derived from remotely sensed imagery. Indices derived from Landsat 8 (L8) and Sentinel 2 (S2) imagery are used in Random Forest (RF), eXtreme Gradient Boosting (XGBoost), Decision Tree (DT), and Support Vector Machine (SVR) are associated with the electrical (EC) conductivity of 280 soil samples across 24,000 hectares in Northeast Iran. The results indicated that the DT is the best-performing method (RMSE = 12.25, MAE = 2.15, R
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