Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms.
Savittri Ratanopad SuwanleeDusadee PinasuJaturong Som-ardEnrico Borgogno MondinoFilippo SarviaPublished in: Remote. Sens. (2024)
Keyphrases
- machine learning algorithms
- predictive accuracy
- learning algorithm
- prior knowledge
- benchmark data sets
- machine learning
- stock data
- learning models
- decision trees
- data sets
- machine learning methods
- stock market
- training data
- data mining techniques
- labeled data
- post processing
- non stationary
- data points
- prediction accuracy
- missing values
- learning problems
- data mining methods
- reinforcement learning