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 sensi...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Mehdi Fasihi, Beatrice Portelli, Luca Cadez, Antonio Tomao, Alex Falcon, Giorgio Alberti, Giuseppe Serra
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2024-11-01
Σειρά:	Ecological Informatics
Θέματα:	Carbon storage estimation Carbon sequestration estimation Ensemble models Remote sensing Canopy height model National Forest inventory
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S1574954124003704
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