Keyphrases
Data Fusion Method
100%
Soil Moisture
100%
Earth Observation Data
100%
Biophysical Parameter Retrieval
100%
CycleGAN
100%
Multi-sensor Fusion
100%
Remote Sensing Image
66%
Machine Learning Algorithms
33%
Water Management
33%
Time Series Data
33%
Machine Learning Techniques
33%
Freely Available
33%
Spatial Dependence
33%
State-of-the-art Techniques
33%
Agricultural Activities
33%
Cycle-consistent Adversarial Network
33%
Data Augmentation
33%
Soil Moisture Content
33%
Soil Moisture Prediction
33%
Sentinel-2 Time Series
33%
Temporal Dependence
33%
Dryland Agriculture
33%
Training Machine
33%
SAR Sentinel-1
33%
Regression Convolutional Neural Network
33%
Farming Area
33%
Proposed Methodology
33%
Engineering
Parameter Estimation
100%
Sensor Data
100%
Sensing Imagery
100%
Earth Observation
100%
Water Management
50%
Machine Learning Algorithm
50%
Machine Learning Technique
50%
Data Series
50%
Input Feature
50%
State-of-the-Art Method
50%
Soil Moisture Content
50%
Sentinel-2
50%
Synthetic Aperture Radar
50%
Convolutional Neural Network
50%
Computer Science
remote sensing imagery
100%
Parameter Estimation
100%
multi-sensor data fusion
100%
Machine Learning Algorithm
50%
Generative Adversarial Networks
50%
Time Series Data
50%
Data Augmentation
50%
Convolutional Neural Network
50%
Machine Learning Technique
50%
Earth and Planetary Sciences
Soil Moisture
100%
Multisensor Fusion
100%
Parameter Estimation
100%
Machine Learning
50%
Remote Sensing
50%
Synthetic Aperture Radar
25%
Water Management
25%
Time Series
25%
Sentinel-2
25%
State of the Art
25%
Moisture Prediction
25%