Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks

In recent years, landslide susceptibility mapping has substantially improved with advances in machine learning. However, there are still challenges remain in landslide mapping due to the availability of limited inventory data. In this paper, a novel method that improves the performance of machine le...

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Bibliographic Details
Main Authors: Husam A.H. Al-Najjar, Biswajeet Pradhan
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Geoscience Frontiers
Subjects:
Landslide susceptibility
Inventory
Machine learning
Generative adversarial network
Convolutional neural network
Geographic information system
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987120302024

Internet

http://www.sciencedirect.com/science/article/pii/S1674987120302024

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