Uncertainties of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Effects of Different Machine Learning Models

Uncertainties of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Effects of Different Machine Learning Models

For the issue of collapse susceptibility prediction (CSP), minimal attention has been paid to explore the uncertainty characteristics of different machine learning models predicting collapse susceptibility. In this study, six kinds of typical machine learning methods, namely, logistic regression (LR...

Full description

Bibliographic Details
Main Authors: Wenbin Li, Yu Shi, Faming Huang, Haoyuan Hong, Guquan Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Earth Science
Subjects:
collapse susceptibility prediction
remote sensing
geographic information system
machine learning models
uncertainty analysis 2
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.731058/full

Similar Items

Similar Items