Articles | Volume 22, issue 23
https://doi.org/10.5194/bg-22-7625-2025
https://doi.org/10.5194/bg-22-7625-2025
Research article
 | 
04 Dec 2025
Research article |  | 04 Dec 2025

Multi-source remote sensing for large-scale biomass estimation in Mediterranean olive orchards using GEDI LiDAR and machine learning

Francisco Contreras, María L. Cayuela, Miguel A. Sánchez-Monedero, and Pedro Pérez-Cutillas

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Short summary
This study presents an exploratory approach to estimate above-ground biomass in Mediterranean olive orchards using satellite and laser data. A volumetric framework was developed to model biomass from tree structure and environmental variables, offering a scalable method to improve large-scale assessments of carbon storage in low-stature vegetation.
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