Keyphrases
Multi-input
100%
Soil Clay
100%
Convolutional Neural Network Model
100%
Imagery Data
100%
Earth Observation
100%
Optical Imagery
100%
Deep Convolutional Neural Network (deep CNN)
100%
Radar Imagery
100%
Performance Prediction
66%
Spectral Information
66%
Soil Samples
33%
Data Mining Techniques
33%
Machine Learning Techniques
33%
Valuable Insight
33%
Visible-infrared
33%
Synthetic Aperture Radar
33%
Convolutional Neural Network
33%
Existing Data
33%
Ambient Factors
33%
Short-wave Infrared
33%
Spatial Characteristics
33%
Hyperspectral
33%
Reflectance Value
33%
Soil Attributes
33%
Soil Reflectance
33%
Soil Monitoring
33%
Bare Soil
33%
Random Forest
33%
Observation-driven
33%
Monitoring Approach
33%
Current Capability
33%
Optical Image
33%
Radar Image
33%
Earth Observation Data
33%
Geographical Coordinates
33%
Sample Calibration
33%
Google Earth Engine Platform
33%
Multi-input Convolutional Neural Network
33%
Deep Learning Algorithm
33%
Topsoil Layer
33%
Soil Target
33%
Orbital Sensor
33%
Complimentary Information
33%
LUCAS Survey
33%
Copernicus Sentinels
33%
Optical Composites
33%
Cloud Computing Infrastructure
33%
Artificial Neural Network (ANN) Model
33%
Non-linear Machine Learning
33%
Optical Currents
33%
Sentinel Data
33%
Engineering
Convolutional Neural Network
100%
Input Multi
100%
Clay Content
100%
Earth Observation
80%
Network Model
60%
Spectral Information
40%
Artificial Neural Network
40%
Infrastructure
20%
Deep Learning
20%
Reflectance
20%
Machine Learning Method
20%
Prediction Performance
20%
Soil Sample
20%
Random Forest
20%
Bare Soil
20%
Radar Image
20%
Spatial Characteristic
20%
Cloud Computing
20%
Synthetic Aperture Radar
20%
Earth and Planetary Sciences
Artificial Neural Network
100%
Clay Soil
100%
Radar Imagery
100%
Machine Learning
50%
Data Mining
50%
Synthetic Aperture Radar
50%
Reflectance
50%
State of the Art
50%
Topsoil
50%
Bare Soil
50%
Google Earth Engine
50%