Maximizing Impacts of Remote Sensing Surveys in Slope Stability—A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction

Maximizing Impacts of Remote Sensing Surveys in Slope Stability—A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction

This paper proposes a novel method to incorporate unfavorable orientations of discontinuities into machine learning (ML) landslide prediction by using GIS-based kinematic analysis. Discontinuities, detected from photogrammetric and aerial LiDAR surveys, were included in the assessment of potential r...

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Bibliographic Details
Main Authors: Lingfeng He, John Coggan, Mirko Francioni, Matthew Eyre
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
discontinuity
kinematic analysis
machine learning
deep learning
landslide prediction
remote sensing
Online Access:https://www.mdpi.com/2220-9964/10/4/232

Internet

https://www.mdpi.com/2220-9964/10/4/232

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