Combination of remote sensing and Artificial Intelligence to detect degraded forests - a deep learning approach and expert-labeled Sentinel-2 data in Guinea - Archive ouverte HAL
Poster De Conférence Année : 2022

Combination of remote sensing and Artificial Intelligence to detect degraded forests - a deep learning approach and expert-labeled Sentinel-2 data in Guinea

Domaines

Environnement et Société Biodiversité et Ecologie

Nicolas Delbart  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-03863652

Soumis le : lundi 21 novembre 2022-14:48:32

Dernière modification le : vendredi 12 juillet 2024-13:52:03

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Dates et versions

hal-03863652 , version 1 (21-11-2022)

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  • HAL Id : hal-03863652 , version 1

Citer

An Vo Quang, Nicolas Delbart, Gabriel Jaffrain, Camille Pinet. Combination of remote sensing and Artificial Intelligence to detect degraded forests - a deep learning approach and expert-labeled Sentinel-2 data in Guinea. ESA Living Planet 2022, May 2022, Bonn, Germany. ⟨hal-03863652⟩

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