Forest aboveground biomass estimation based on spaceborne LiDAR combining machine learning model and geostatistical method

Forest aboveground biomass estimation based on spaceborne LiDAR combining machine learning model and geostatistical method

Estimation of forest biomass at regional scale based on GEDI spaceborne LiDAR data is of great significance for forest quality assessment and carbon cycle. To solve the problem of discontinuous data of GEDI footprints, this study mapped different echo indexes in the footprints to the surface by inve...

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Bibliographic Details
Main Authors: Li Xu, Jinge Yu, Qingtai Shu, Shaolong Luo, Wenwu Zhou, Dandan Duan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Plant Science
Subjects:
GEDI
spaceborne LiDAR
inverse distance weighting
biomass
spruce-fir
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1428268/full
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