Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass

Author:

Guo Qiyu,Du Shouhang,Jiang Jinbao,Guo Wei,Zhao Hengqian,Yan Xuzhe,Zhao Yinpeng,Xiao Wanshan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference60 articles.

1. Accuracy assessment of GEDI terrain elevation and canopy height estimates in European temperate forests: influence of environmental and acquisition parameters;Adam;Remote Sens.,2020

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3. Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data;Bacour;Agronomie,2002

4. Methodological transferability in route choice modeling;Bekhor;Transp. Res. B Methodol.,2009

5. Machine learning prediction of above-ground biomass in pure Calabrian pine (Pinus brutia Ten.) stands of the Mediterranean region, Türkiye;Bulut;Eco. Inform.,2023

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