Comparing Algorithms for Estimation of Aboveground Biomass in <i>Pinus yunnanensis</i>

Comparing Algorithms for Estimation of Aboveground Biomass in <i>Pinus yunnanensis</i>

Comparing algorithms are crucial for enhancing the accuracy of remote sensing estimations of forest biomass in regions with high heterogeneity. Herein, Sentinel 2A, Sentinel 1A, Landsat 8 OLI, and Digital Elevation Model (DEM) were selected as data sources. A total of 12 algorithms, including 7 type...

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Bibliographic Details
Main Authors: Tianbao Huang, Guanglong Ou, Hui Xu, Xiaoli Zhang, Yong Wu, Zihao Liu, Fuyan Zou, Chen Zhang, Can Xu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Forests
Subjects:
forest aboveground biomass
machine learning algorithm
remote sensing
<i>Pinus yunnanensis</i> forest
stacking ensemble
Yunnan Province
Online Access:https://www.mdpi.com/1999-4907/14/9/1742

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https://www.mdpi.com/1999-4907/14/9/1742

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