A neural-network approach to radiometrie sensing of land-surface parameters

Keyphrases

• Neural Network 100%
• Dynamic Learning 100%
• Learning Neural Network 100%
• Land Surface Parameters 100%
• Root Mean Square Error 50%
• Land Surface Processes 50%
• Input Nodes 33%
• Four-channel 33%
• Six-channel 33%
• Soil Moisture 16%
• Water Content 16%
• Canopy Temperature 16%
• Soil Temperature 16%
• Radiometric Signature 16%
• Vertically Polarized 16%
• Horizontally Polarized 16%
• Incidence Angle 16%
• Noise Level 16%
• Soil Parameters 16%
• Noisy Conditions 16%
• Inversion Approach 16%

Earth and Planetary Sciences

• Land Surface 100%
• Root-Mean-Square Error 42%
• Earth-Surface Processes 42%
• Standard Deviation 14%
• Soil Moisture 14%
• Soil Temperature 14%