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Kaveh Ghahraman, Balázs Nagy and Fatemeh Nooshin Nokhandan
We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index ...
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Willian Ney Cassol, Sylvie Daniel and Éric Guilbert
The recognition of underwater dunes has a central role to ensure safe navigation. Indeed, the presence of these dynamic landforms on the seafloor represents a hazard for navigation, especially in navigation channels, and should be at least highlighted to...
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Márton Pál and Gáspár Albert
Geodiversity is the variety of natural elements that are excluded from biodiversity, such as: geological, geomorphological, and soil features including their properties, systems, and relationships. Geodiversity assessment measures these features, emphasi...
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Dario Gioia, Maria Danese, Giuseppe Corrado, Paola Di Leo, Antonio Minervino Amodio and Marcello Schiattarella
Automatic procedures for landform extraction is a growing research field but extensive quantitative studies of the prediction accuracy of Automatic Landform Classification (ACL) based on a direct comparison with geomorphological maps are rather limited. ...
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