High-resolution global soil salinity and sodicity mapping (1980–2024): Box-Cox-based sample optimization, multi-source remote sensing features, and uncertainty quantification

Tiantian Wang

doi:10.1016/j.rse.2025.114991

High-resolution global soil salinity and sodicity mapping (1980–2024): Box-Cox-based sample optimization, multi-source remote sensing features, and uncertainty quantification

2025-08-27

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DOI：10.1016/j.rse.2025.114991

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Abstract

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• Box-Cox transformation reduces data skewness to improve model performance. • New dynamic predictors plus 17 remote sensing indices enhance model predictions. • New global soil salinity/sodicity maps (1980–2024) with uncertainty estimates.

Keywords:

Box-Cox transformation

dynamic predictors

remote sensing indices

soil salinity

soil sodicity

High-resolution global soil salinity and sodicity mapping (1980–2024): Box-Cox-based sample optimization, multi-source remote sensing features, and uncertainty quantification

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