Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery-Reference-Cited by-同舟云学术

Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery

Published:2024-02 Issue: Volume:159 Page:111752
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Zhang Xiaoli,Shen Hanwen,Huang Tianbao,Wu Yong,Guo Binbing,Liu Zhi,Luo Hongbin,Tang Jing,Zhou Hang,Wang Leiguang,Xu Weiheng,Ou Guanglong^ORCID

Funder

Yunnan Provincial Department of Education Science Research Fund Project

Publisher

Elsevier BV

Reference70 articles.

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4. Climate and large-sized trees, but not diversity, drive above-ground biomass in subtropical forests;Bordin;For. Ecol. Manage.,2021

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