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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Những tác giả chính:	Matej Babič, Dušan Petrovič, Jošt Sodnik, Božo Soldo, Marko Komac, Olena Chernieva, Miha Kovačič, Matjaž Mikoš, Michele Calì
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	MDPI AG 2021-04-01
Loạt:	Remote Sensing
Những chủ đề:	digital elevation model torrential fan surfaces geomorphometric parameters graph method debris flows
Truy cập trực tuyến:	https://www.mdpi.com/2072-4292/13/9/1711

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