Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation of landslide-related losses. In this study, we applied two novel deep learning algorithms, the recurrent neural network (RNN) and convolutional neural network (CNN), for national-scale land...

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Bibliographic Details
Main Authors: Phuong Thao Thi Ngo, Mahdi Panahi, Khabat Khosravi, Omid Ghorbanzadeh, Narges Kariminejad, Artemi Cerda, Saro Lee
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Geoscience Frontiers
Subjects:
CNN
RNN
Deep learning
Landslide
Iran
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987120301687

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http://www.sciencedirect.com/science/article/pii/S1674987120301687

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