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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Auteurs principaux:	Yuzhen Zhang, Jun Ma, Shunlin Liang, Xisheng Li, Manyao Li
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-12-01
Collection:	Remote Sensing
Sujets:	forest biomass machine learning algorithms satellite data product model comparison ensemble algorithm
Accès en ligne:	https://www.mdpi.com/2072-4292/12/24/4015
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