Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan.
Kotaro IizukaYuichi HayakawaTakuro OguraYasutaka NakataYoshiko KosugiTaichiro YoneharaPublished in: Remote. Sens. (2020)
Keyphrases
- machine learning algorithms
- sensor data
- random forests
- case study
- benchmark data sets
- learning algorithm
- sensor networks
- machine learning
- decision trees
- machine learning methods
- learning problems
- sensor measurements
- predictive accuracy
- learning tasks
- data streams
- machine learning approaches
- sensor readings
- human activities
- machine learning models
- raw sensor data
- health monitoring
- input features
- machine learning systems
- multiple sensors
- smart environments
- earth observation
- sensor data streams
- application level
- neural network
- standard machine learning algorithms
- software development