Retrievals of land surface parameters from measured brightness temperatures at 1.4 and 10.65 GHz by a neural network

Keyphrases

• Back-propagation Artificial Neural Network (BP-ANN) 100%
• Neural Network 100%
• X-band 100%
• Viewing Angle 100%
• Error Propagation 100%
• Brightness Temperature 100%
• Land Surface Parameters 100%
• Radiometer 100%
• Neural Network Training 50%
• Soil Moisture 50%
• Incident Angle 50%
• Moisture Profile 50%
• Radiometric Signature 50%
• L-band 50%
• Soil Moisture Content 50%
• Wheat 50%
• Radiometric Measurements 50%
• L-band Radiometer 50%
• Biomass Moisture Content 50%
• Dry Biomass 50%
• Wheat Soil 50%
• Wheat Biomass 50%
• Wheat Field 50%
• Growth Cycle 50%
• Viewing Frequency 50%
• Wet Biomass 50%

Engineering

• Land Surface 100%
• Backpropagation Learning 100%
• Radiometer 100%
• L-Band 66%
• X-Band 66%
• Field Measurement 33%
• Incident Angle 33%
• Wet Biomass 33%
• Soil Moisture Content 33%

Chemical Engineering

• Neural Network 100%
• Soil Moisture 50%