Mapping soil carbon content in two contrasting pedoclimatic regions using a deep learning approach with remote sensing imagery and laboratory spectral datasets
Authors
Nicolas Baghdadi (ORCID: https://orcid.org/0000-0002-9461-4120)
Mapping soil carbon content in two contrasting pedoclimatic regions using a deep learning approach with remote sensing imagery and laboratory spectral datasets
Nicolas Baghdadi, Hayfa Zayani, Emmanuelle Vaudour, Zohra Lili‐Chabaane et al.
Citations
1 citations
Journal
Geoderma
Topics
Soil Geostatistics and Mapping
Field-Weighted Citation Impact (FWCI)
0.80
article
Mapping soil carbon content in two contrasting pedoclimatic regions using a deep learning approach with remote sensing imagery and laboratory spectral datasets
Nicolas Baghdadi, Hayfa Zayani, Emmanuelle Vaudour, Zohra Lili‐Chabaane, Didier Michot, Michel Perez, Christian Walter, Zeineb Kassouk, Youssef Fouad
article en
1 citations
Abstract
No abstract available for this paper.
Publication Tag
GeodermaVol. 462
Institutions
University of Carthage (TN), AgroParisTech (FR), Université Paris-Saclay (FR), Institut Agro Rennes-Angers (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Écologie Fonctionnelle et Écotoxicologie des Agroécosystèmes (FR), Institut National Agronomique de Tunisie (TN), Sol Agro et hydrosystème Spatialisation (FR), Institut National de la Recherche Agronomique de Tunisie (TN), Institution de la Recherche et de l’Enseignement Supérieur Agricoles (TN), Territoires, Environnement, Télédétection et Information Spatiale (FR), Universidad Autónoma de Madrid (ES)
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Mapping soil carbon content in two contrasting pedoclimatic regions using a deep learning approach with remote sensing imagery and laboratory spectral datasets — Nicolas Baghdadi, Hayfa Zayani, et al. · Geoderma (2025) | TGRS Research Map | TGRS