Combining satellite and field data reveals Congo's forest types structure, functioning and composition

Combining satellite and field data reveals Congo's forest types structure, functioning and composition

Abstract Tropical moist forests are not the homogeneous green carpet often illustrated in maps or considered by global models. They harbour a complex mixture of forest types organized at different spatial scales that can now be more accurately mapped thanks to remote sensing products and artificial...

Full description

Saved in:
Bibliographic Details
Main Authors: Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Remote Sensing in Ecology and Conservation
Subjects:
Deep learning
North Congo
satellite data
tropical forests
vegetation map
water drainage depth
Online Access:https://doi.org/10.1002/rse2.419
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items