Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors

Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors

To study the uncertainties of a collapse susceptibility prediction (CSP) under the coupled conditions of different data-based models and different connection methods between collapses and environmental factors, An’yuan County in China with 108 collapses is used as the study case, and 11 environmenta...

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Bibliographic Details
Main Authors: Wenbin Li, Xuanmei Fan, Faming Huang, Wei Chen, Haoyuan Hong, Jinsong Huang, Zizheng Guo
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
collapse susceptibility prediction
uncertainty analysis
nonlinear connection method
data-based model
random forest
remote sensing
Online Access:https://www.mdpi.com/2072-4292/12/24/4134

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