Above-Ground Biomass Estimation of Plantation with Complex Forest Stand Structure Using Multiple Features from Airborne Laser Scanning Point Cloud Data

Above-Ground Biomass Estimation of Plantation with Complex Forest Stand Structure Using Multiple Features from Airborne Laser Scanning Point Cloud Data

Accurate forest above-ground biomass (AGB) estimation is important for dynamic monitoring of forest resources and evaluation of forest carbon sequestration capacity. However, it is difficult to depict the forest’s vertical structure and its heterogeneity using optical remote sensing when estimating...

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Bibliographic Details
Main Authors: Linghan Gao, Xiaoli Zhang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Forests
Subjects:
above-ground biomass (AGB)
airborne laser scanner (ALS)
feature extraction
random forest
estimation models
Online Access:https://www.mdpi.com/1999-4907/12/12/1713

Internet

https://www.mdpi.com/1999-4907/12/12/1713

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