A Multimodal Deep Learning Framework for Accurate Biomass and Carbon Sequestration Estimation from UAV Imagery

A Multimodal Deep Learning Framework for Accurate Biomass and Carbon Sequestration Estimation from UAV Imagery

Accurate quantification of above-ground biomass (AGB) and carbon sequestration is vital for monitoring terrestrial ecosystem dynamics, informing climate policy, and supporting carbon neutrality initiatives. However, conventional methods—ranging from manual field surveys to remote sensing techniques...

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Bibliographic Details
Main Authors: Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Xusinov Ibragim Ismailovich, Young Im Cho
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Drones
Subjects:
forest biomass estimation
carbon sequestration
UAV remote sensing
3D canopy modeling
vegetation indices
AGB prediction
Online Access:https://www.mdpi.com/2504-446X/9/7/496
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