The performance of landslide susceptibility models critically depends on the quality of digital elevation models

Considering the critical importance of the quality of input data for landslide susceptibility, we investigate the performance improvements that can be achieved by different globally available digital elevation models (DEMs) using different state-of-the-art statistical and machine-learning models. Fo...

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Bibliographic Details

Published in:	Geomatics, Natural Hazards & Risk
Main Authors:	Jonas Brock, Patrick Schratz, Helene Petschko, Jannes Muenchow, Mihai Micu, Alexander Brenning
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2020-01-01
Subjects:	landslide susceptibility model machine learning dem
Online Access:	http://dx.doi.org/10.1080/19475705.2020.1776403