Photographic Extraction of Dune Vegetation
Ecogeomorphic Controls on Coastal Dune Morphology
Photographic Extraction of Dune Vegetation
Use computer vision and machine learning to extract vegetation and sediment characteristics from photographs.
Collaborative project · In progress (2026/27) · Dr. Hakki Sevil
A secondary aspect of this project is the use of computational vision to automatically extract vegetation and sediment characteristics from photographic imagery. By applying machine learning techniques to classify vegetation types and estimate sediment properties from photos, this work provides a scalable approach to monitoring dune systems and evaluating restoration outcomes over large spatial extents.
Automated Extraction of Vegetation and Sediment Characteristics from Photographic Imagery for Coastal Dune Monitoring
- Collaborative Project with Dr. Hakki Sevil, Department of Intelligent Systems & Robotics - In Progress (2026/27).