Influence of Variable Selection and Forest Type on Forest Aboveground Biomass Estimation Using Machine Learning Algorithms

Forest biomass is a major store of carbon and plays a crucial role in the regional and global carbon cycle. Accurate forest biomass assessment is important for monitoring and mapping the status of and changes in forests. However, while remote sensing-based forest biomass estimation in general is wel...

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Vydané v:	Forests Ročník 10; číslo 12; s. 1073
Hlavní autori:	Li, Yingchang, Li, Chao, Li, Mingyang, Liu, Zhenzhen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2019
Predmet:	Algorithms Biodiversity Biomass Carbon Carbon cycle Decision trees Ecological monitoring Ecosystems Feature selection Forest biomass Forest ecosystems Landsat Landsat satellites Learning algorithms Machine learning Model accuracy Modelling National forests Regression analysis Remote sensing Remote sensing systems Satellites Terrestrial ecosystems Timber Variables China Hunan China
ISSN:	1999-4907, 1999-4907
On-line prístup:	Získať plný text
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