Assessment of soil salinity using explainable machine learning methods and Landsat 8 images

Keyphrases

• Machine Learning Techniques 100%
• Soil Salinity 100%
• Oversampling Technique 100%
• Explainable Machine Learning 100%
• Landsat 8 Imagery 100%
• Lake Urmia 75%
• Playa 75%
• Random Forest 50%
• Machine Learning Models 50%
• XGBoost 50%
• Synthetic Minority 50%
• Random Undersampling 50%
• Environmental Covariates 50%
• Machine Learning Algorithms 25%
• Northwest Iran 25%
• Landsat 8 OLI 25%
• Vegetation Index 25%
• Satellite Images 25%
• Electrical Conductivity 25%
• Visual Interpretation 25%
• Machine Learning Approach 25%
• Soil Salinity Map 25%
• Estimation Task 25%
• Visible Band 25%
• Two-machine 25%
• Shapley Value 25%
• Salinity Prediction 25%
• Sampling Test 25%
• West Lake 25%
• Shapley Analysis 25%
• Over Sampling 25%
• Extreme Gradient Boosting(XGBoost) 25%
• Machine Learning Problems 25%

Earth and Planetary Sciences

• Landsat 8 100%
• Machine Learning 100%
• Soil Salinity 100%
• Sampling Technique 33%
• Satellite Image 16%
• Vegetation Index 16%