Landslide 3D geological modelling using Gempy and InSAR displacement time series

eved, their interpretation and/or the extraction of 3D model may be challenging. This work introduces an innovative, integrated QGIS-based framework that simplifies 3D geological model creation through two novel components: the 3D GemPy Model Builder, a user-friendly interface to the GemPy Python library (Wu & Sun, 2021), and the InSAR Tools toolbox, which uniquely derives sliding surfaces directly from InSAR Line of Sight displacement time series. Although the study of landslides using SAR data is widely recognized (Raucoules et al., 2013; Delbridge et al., 2016), our approach innovatively combines remote sensing data (InSAR-derived PS measurements from EGMS), LiDAR-refined boundary detection, and geological mapping into a unified workflow within QGIS. The methodology systematically progresses from landslide perimeter delineation, through cross-sectional sliding surface depth estimation, to automated 3D geological surface generation. This innovative integration significantly reduces technical barriers, enabling non-specialist professionals to produce 3D geological models compatible with advanced numerical solvers, a capability previously limited to highly specialized teams. The case studies are presented to show the capabilities of the tools and highlight their advantages and limitations, as we will show this approach works only for a limited number of landslide movement types (Cruden & Varnes, 1996), despite this the framework represents a paradigm shift in making sophisticated landslide modelling accessible to a broader community of geological and geotechnical professionals.