The data for "Expanding the Global Martian Landslide Inventory with Multi-modal DINOv2 Feature Fusion and SVM Classification"

This archive includes: 2,263 Martian landslide features used for training and testing, based on the inventory of Crosta et al. (2018), provided as point features. 2,263 non-landslide features used for training and testing, generated by random clipping in ArcGIS Pro and provided as point features. 25 newly mapped landslides, identified by Mars-DiSVM and provided as point features. A trained SVM classifier for potential users. Example code for applying the Mars-DiSVM framework. requirements.txt README.md