Aboveground Biomass Prediction by Fusing Gedi Footprints with Optical and SAR Data Using the Random Forest in the Mixed Tropical Forest, India.
Rajit GuptaLaxmi Kant SharmaPublished in: IGARSS (2022)
Keyphrases
- random forest
- random forests
- sar data
- decision trees
- synthetic aperture radar
- prediction accuracy
- ensemble methods
- ensemble classifier
- feature set
- sar images
- multi label
- base classifiers
- decision tree learning algorithms
- fusion method
- gray level
- data fusion
- parameter estimation
- sar imagery
- supervised learning
- multiresolution