Machine learning based regression model for prediction of soil surface humidity over moderately vegetated fields

Keyphrases

• Soil Surface 100%
• Regression Model 100%
• Machine Learning Based 100%
• Surface Humidity 100%
• RADARSAT-2 40%
• Polarimetric Decomposition 40%
• Decomposition Model 40%
• Polarimetric Synthetic Aperture Radar (PolSAR) 20%
• Cultivated Crops 20%
• Irrigation Management 20%
• Water Consumption 20%
• Humidity 20%
• Root Mean Square Error 20%
• Cross-validation Method 20%
• Agricultural Fields 20%
• Polarimetric Features 20%
• Leave-one-out 20%
• Stage 10 20%
• Extreme Learning Machine 20%
• Freeman 20%
• Model Learning 20%
• Over-irrigation 20%
• In(III) 20%

Engineering

• Soil Surface 100%
• Learning System 100%
• Main Purpose 20%
• Great Importance 20%
• Root Mean Square Error 20%
• Phase Technique 20%
• Extreme Learning Machine 20%
• Synthetic Aperture Radar 20%
• Irrigation System 20%

Earth and Planetary Sciences

• Machine Learning 100%
• Soil Surface 100%
• Radarsat 40%
• Synthetic Aperture Radar 20%
• Water Use 20%
• Root-Mean-Square Error 20%
• Salinity 20%
• Irrigation System 20%