Forest above-ground biomass estimation based on strongly collinear variables derived from airborne laser scanning data

Author:

Zhang Xiaofang,Li Xiaoyao,Sharma Ram P.,Ye Qiaolin,Zhang Huiru,Feng Linyan,Xie Dongbo,Huang Hongchao,Fu Liyong,Zhou Zefeng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference70 articles.

1. Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms;Almeida;Remote Sens. Environ.,2019

2. Estimating species-specific leaf area index and basal area using optical and SAR remote sensing data in Acadian mixed spruce-fir forests, USA;Bhattarai;Int. J. Appl. Earth Obs. Geoinf.,2022

3. Modeling Mediterranean forest structure using airborne laser scanning data;Bottalico;Int. J. Appl. Earth Obs. Geoinf.,2017

4. Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data;Bouvier;Remote Sens. Environ.,2015

5. Above-ground biomass equations for Pinus radiata D. Don in Asturias;Canga;Forest Syst.,2013

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