Improving ICESat‐2‐based boreal forest height estimation by a multivariate sample quality control approach

Improving ICESat‐2‐based boreal forest height estimation by a multivariate sample quality control approach

Abstract Boreal forest heights are associated with global carbon stocks and energy budgets. The launch of the Advanced Topographic Laser Altimeter System (ATLAS) onboard the NASA's Ice, Cloud and Land Elevation Satellite (ICESat‐2) enables canopy vertical structure measurement at a global scale...

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Bibliographic Details
Main Authors: Tianqi Zhang, Desheng Liu
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:Methods in Ecology and Evolution
Subjects:
artificial neural networks
boreal forests
canopy height model
gradient boosting machine
ICESat‐2
multivariate quality control
Online Access:https://doi.org/10.1111/2041-210X.14112

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