Mapping soil carbon content in two contrasting pedoclimatic regions using a deep learning approach with remote sensing imagery and laboratory spectral datasets

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Publication Details

Journal
Geoderma
Published
2025-09-27
DOI
https://doi.org/10.1016/j.geoderma.2025.117513
Citations
1
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.80
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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 et al.
1 citations
Geoderma
Soil Geostatistics and Mapping
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.
GeodermaVol. 462
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)
Openalex Percentile: Top 24%
Soil Geostatistics and Mapping
0.80
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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