Assessing ensemble models for carbon sequestration and storage estimation in forests using remote sensing data

Forests play a crucial role in storing much of the world's carbon (C). Accurately estimating C sequestration is essential for addressing and mitigating the impacts of global warming. While many studies have used machine learning models to estimate carbon storage (CS) in forests based on remote...

Full description

Saved in:
Bibliographic Details
Main Authors: Mehdi Fasihi, Beatrice Portelli, Luca Cadez, Antonio Tomao, Alex Falcon, Giorgio Alberti, Giuseppe Serra
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ecological Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124003704
Tags: Add Tag
No Tags, Be the first to tag this record!