Quantifying uncertainty in landslide susceptibility mapping due to sampling randomness

• Published in: International journal of disaster risk reduction Vol. 114; p. 104966
• Main Authors: Liu, Lei-Lei, Zhao, Shuang-Lin, Yang, Can, Zhang, Wengang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.11.2024
• Subjects: Buffer-controlled sampling; Confidence map; Landslide susceptibility; Machine learning; Monte Carlo simulation; Confidence map; Landslide susceptibility; Monte Carlo simulation; Buffer-controlled sampling; Machine learning

The quality of landslide and non-landslide samples plays a crucial role in landslide susceptibility maps (LSMs) generated using machine learning algorithms. However, uncertainties arising from the collection of non-landslide samples can significantly compromise the reliability of these maps. Current...