Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt

Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt

The probabilistic mapping of landslide occurrence at a high spatial resolution and over a large geographic extent is explored using random forests (RF) machine learning; light detection and ranging (LiDAR)-derived terrain variables; additional variables relating to lithology, soils, distance to road...

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Bibliographic Details
Main Authors: Aaron E. Maxwell, Maneesh Sharma, James S. Kite, Kurt A. Donaldson, James A. Thompson, Matthew L. Bell, Shannon M. Maynard
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
slope failures
landslides
light detection and ranging
lidar
digital terrain analysis
machine learning
random forest
spatial predictive modeling
Online Access:https://www.mdpi.com/2072-4292/12/3/486

Internet

https://www.mdpi.com/2072-4292/12/3/486

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