Current-researches

Developing methods to map forests at the individual tree level using drones, photogrammetry, and computer vision

Using 360-degree ground imagery for automated understory vegetation and fuel inventory

Using aerial imagery and computer vision to quantify forest recovery 10-40 years post-fire across California

Understanding the early (1-2 years post-fire) drivers of conifer regeneration in high-severity burn patches

Using high-resolution satellite imagery and plot data to build tools for rapid mapping of surviving trees following fire

Combining drone-based tree maps and field surveys to model seed dispersal and tree regeneration across post-fire landscapes