Spatial prediction of soil properties using Sentinel-2 temporal mosaics of non-vegetated soils in a semi-arid region: A comparative evaluation of Google Earth Engine and THEIA platforms in Sminja

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SPIRE - Sciences Po Institutional REpository
Published
2025-09-08
Primary Topic
Soil and Land Suitability Analysis
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article

Spatial prediction of soil properties using Sentinel-2 temporal mosaics of non-vegetated soils in a semi-arid region: A comparative evaluation of Google Earth Engine and THEIA platforms in Sminja

Emmanuelle Vaudour, Lucie Martin, Thouraya Sahli Chahed, Didier Michot et al.
SPIRE - Sciences Po Institutional REpository
Soil and Land Suitability Analysis
article

Spatial prediction of soil properties using Sentinel-2 temporal mosaics of non-vegetated soils in a semi-arid region: A comparative evaluation of Google Earth Engine and THEIA platforms in Sminja

Emmanuelle Vaudour, Lucie Martin, Thouraya Sahli Chahed, Didier Michot, Hamouda Aïchi, Mukhtar Abubakar, Rafla Attia, Youssef Fouad
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No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
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), Sol Agro et hydrosystème Spatialisation (FR)
Openalex Percentile: Top 60%
Soil and Land Suitability Analysis
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Spatial prediction of soil properties using Sentinel-2 temporal mosaics of non-vegetated soils in a semi-arid region: A comparative evaluation of Google Earth Engine and THEIA platforms in Sminja — Emmanuelle Vaudour, Lucie Martin, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS