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Uncertainty-aware machine learning for long-term soil salinization risk mapping and hydroclimatic effect estimation in a semi-arid agricultural plain

https://doi.org/10.2139/ssrn.7429435
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Outgoing claims: the papers this work cites, builds on, or argues with.

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A review of predictive uncertainty estimation with machine learning
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Classifier calibration: a survey on how to assess and improve predicted class probabilities
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Hydrochemical characteristics and the impact of human activities on groundwater in a semi-arid plain: a case study of western Jilin Province, Northeast China
inferredcites →https://doi.org/10.1007/s11430-025-1579-3openalex-snapshot
Summer hydroclimate variations in Northeast China during the period of 1568–2021
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Bridging the gap: Explainable AI for advancing Earth System Science
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Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates
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Machine learning for digital soil mapping: Applications, challenges and suggested solutions
inferredcites →https://doi.org/10.1016/j.ecoinf.2022.101665openalex-snapshot
Dealing with clustered samples for assessing map accuracy by cross-validation
inferredcites →https://doi.org/10.1016/j.geoderma.2019.04.032openalex-snapshot
Forest and grass composite patterns improve the soil quality in the coastal saline-alkali land of the Yellow River Delta, China
inferredcites →https://doi.org/10.1016/j.isci.2024.108830openalex-snapshot
Soil salinization in agriculture: Mitigation and adaptation strategies combining nature-based solutions and bioengineering
inferredcites →https://doi.org/10.1016/j.jag.2009.08.003openalex-snapshot
Determination of land degradation causes in Tongyu County, Northeast China via land cover change detection
inferredcites →https://doi.org/10.1016/j.jenvman.2020.111736openalex-snapshot
Soil salinity under climate change: Challenges for sustainable agriculture and food security
inferredcites →https://doi.org/10.1016/j.oneear.2026.101658openalex-snapshot
Mapping 25 years of global soil salinity: Hydrothermal conditions drive widespread desalinization amid regional salinization hotspots
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1029/2023jg007631openalex-snapshot
Using Normalize Difference Vegetation Index to Infer Wetlands Salinity and Organic Contribution to Vertical Accretion Rates
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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
inferredcites →https://doi.org/10.1038/s41467-021-26907-3openalex-snapshot
Global predictions of primary soil salinization under changing climate in the 21st century
inferredcites →https://doi.org/10.1038/s41561-022-00931-4openalex-snapshot
Contrasting effects of aridity and seasonality on global salinization
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Effect of Salinity on Crop Growth and Soil Moisture Dynamics: A Study with Root Water Uptake Model
inferredcites →https://doi.org/10.1080/01431161.2024.2412804openalex-snapshot
Present knowledge and future challenges in remote sensing for soil salinization monitoring: a review of bibliometric analysis
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Evaluation of variable selection methods for random forests and omics data sets
inferredcites →https://doi.org/10.1111/2041-210x.70191openalex-snapshot
Estimating causal effects with machine learning: A guide for ecologists
inferredcites →https://doi.org/10.1111/ejss.13010openalex-snapshot
Climate change impacts on soil salinity in agricultural areas
inferredcites →https://doi.org/10.1111/sum.12772openalex-snapshot
Soil salinity: A global threat to sustainable development
inferredcites →https://doi.org/10.1145/3292500.3330701openalex-snapshot
Optuna
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.15244/pjoes/121988openalex-snapshot
Estimating the Spatial Distribution of Soil Salinity with Geographically Weighted Regression Kriging and Its Relationship to Groundwater in the Western Jilin Irrigation Area, Northeast China
inferredcites →https://doi.org/10.18637/jss.v036.i11openalex-snapshot
Feature Selection with the Boruta Package
inferredcites →https://doi.org/10.18637/jss.v108.i03openalex-snapshot
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R
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An Overview of Recent Interpretability and Explainability Approaches for Tree-Based Ensembles
inferredcites →https://doi.org/10.3390/rs16244812openalex-snapshot
Advancements and Perspective in the Quantitative Assessment of Soil Salinity Utilizing Remote Sensing and Machine Learning Algorithms: A Review
inferredcites →https://doi.org/10.5194/hess-29-5049-2025openalex-snapshot
Soil salinity patterns reveal changes in the water cycle of inland river basins in arid zones
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