This repository contains three fine-tuned TerraMind models, using terramind_v1_base backbone. They are able to segment respectively seismic fault scarps, paleo-landslides and river active channels, based on Sentinel-2 RGB and infrared images as well as a Digital Elevation Model (DEM). A UPerNet decoder is added to the TerraMind backbone, and the fine-tuning is done on three released datasets, one for each object (c.f. GitLab repository).
- Full repository: GitLab.
- The seismic fault scarp fine-tuned model is avalaible here: TerraMindUPerNet_sfc.pth
- The paleo-landslide fine-tuned model is avalaible here: TerraMindUPerNet_pls.pth
- The river active channel fine-tuned model is avalaible here: TerraMindUPerNet_rac.pth