An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products

An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products

This study provided a comprehensive evaluation of eight machine learning regression algorithms for forest aboveground biomass (AGB) estimation from satellite data based on leaf area index, canopy height, net primary production, and tree cover data, as well as climatic and topographical data. Some of...

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Bibliographic Details
Main Authors: Yuzhen Zhang, Jun Ma, Shunlin Liang, Xisheng Li, Manyao Li
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
forest biomass
machine learning algorithms
satellite data product
model comparison
ensemble algorithm
Online Access:https://www.mdpi.com/2072-4292/12/24/4015

Internet

https://www.mdpi.com/2072-4292/12/24/4015

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