Estimation of National Forest Aboveground Biomass from Multi-Source Remotely Sensed Dataset with Machine Learning Algorithms in China.
Zhi TangXiaosheng XiaYonghua HuangYan LuZhongyang GuoPublished in: Remote. Sens. (2022)
Keyphrases
- machine learning algorithms
- multi source
- remotely sensed
- change detection
- data fusion
- information fusion
- benchmark data sets
- learning algorithm
- remote sensing
- decision trees
- machine learning
- satellite images
- multiple sources
- multispectral
- remotely sensed images
- hyperspectral images
- data integration
- geospatial data
- hyperspectral
- pattern recognition
- infrared
- satellite imagery
- geospatial information
- data sources
- neural network
- domain specific
- community detection
- databases
- feature selection
- complex networks
- parameter estimation
- database