Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-021-05083-z.pdf
Reference129 articles.
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5. Avand M, Moradi H (2021) Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability. J Hydrol 595:125663
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