Assessing the Generalization of Machine Learning-Based Slope Failure Prediction to New Geographic Extents

Slope failure probabilistic models generated using random forest (RF) machine learning (ML), manually interpreted incident points, and light detection and ranging (LiDAR) digital terrain variables are assessed for predicting and generalizing to new geographic extents. Specifically, models for four M...

Full description

Bibliographic Details

Published in:	ISPRS International Journal of Geo-Information
Main Authors:	Aaron E. Maxwell, Maneesh Sharma, J. Steven Kite, Kurt A. Donaldson, Shannon M. Maynard, Caleb M. Malay
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Subjects:	slope failures landslides light detection and ranging LiDAR digital terrain analysis machine learning
Online Access:	https://www.mdpi.com/2220-9964/10/5/293