A Graph Neural Network Landslide Susceptibility Mapping Method Constrained by Geographical Environment Consistency
Citation
Wei, X., Zhang, L., Luo, J., Liu, D. (2025). A Graph Neural Network Landslide Susceptibility Mapping Method Constrained by Geographical Environment Consistency. InSAR and Deep Learning in Landslides Research: Intelligent Identification, Risk Assessment and Susceptibility Mapping, 75-95. Link to paper
Abstract
This book chapter examines landslide effects in China and discusses limitations of traditional landslide identification and susceptibility mapping methods. The research systematically analyzes challenges in landslide detection and susceptibility evaluation, and reviews developmental progress in intelligent landslide identification and susceptibility mapping technologies using graph neural networks with constraints of environmental consistency for improved accuracy in landslide susceptibility evaluation.