Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans

Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans

Alluvial (torrential) fans, especially those created from debris-flow activity, often endanger built environments and human life. It is well known that these kinds of territories where human activities are favored are characterized by increasing instability and related hydrological risk; therefore,...

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Bibliographic Details
Main Authors: Matej Babič, Dušan Petrovič, Jošt Sodnik, Božo Soldo, Marko Komac, Olena Chernieva, Miha Kovačič, Matjaž Mikoš, Michele Calì
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
digital elevation model
torrential fan surfaces
geomorphometric parameters
graph method
debris flows
Online Access:https://www.mdpi.com/2072-4292/13/9/1711

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