A REPLICABLE OPEN-SOURCE MULTI-CAMERA SYSTEM FOR LOW-COST 4D GLACIER MONITORING

8 citations as recorded by crossref.

1. Dynamics and related hazards of the Belvedere Glacier in the Italian Alps: a review J. Kropáček et al. https://doi.org/10.14712/23361980.2024.21
2. AI image-based method for a robust automatic real-time water level monitoring: a long-term application case X. Blanch et al. https://doi.org/10.5194/hess-30-797-2026
3. Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway H. Zandler et al. https://doi.org/10.3389/frsen.2025.1586933
4. What do trees reveal about the sliding of the lateral moraine of the Belvedere Glacier (western Italian Alps)? I. Bollati et al. https://doi.org/10.14712/23361980.2024.14
5. Subpixel Automatic Detection of GCP Coordinates in Time-Lapse Images Using a Deep Learning Keypoint Network X. Blanch et al. https://doi.org/10.1109/TGRS.2024.3514854
6. Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring F. Ioli et al. https://doi.org/10.1007/s41064-023-00272-w
7. Photogrammetric Measurement of Grassland Fire Spread: Techniques and Challenges with Low-Cost Unmanned Aerial Vehicles M. Marčiš et al. https://doi.org/10.3390/drones8070282
8. Feature-based multi-epoch rock slope monitoring using images and terrestrial laser scans L. Lucks & C. Holst https://doi.org/10.1016/j.ophoto.2026.100120