Global landslide susceptibility prediction based on the automated machine learning (AutoML) framework
Landslide susceptibility prediction (LSP) is an important step for landslide hazard and risk assessment. Automated machine learning (AutoML) has the advantages of automatically features, models, and parameters selection. In this study, we proposed an AutoML-based global LSP framework at two spatial...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Geocarto International |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/10106049.2023.2236576 |