Current-researches

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

Using drone and field data to understand how well post-fire regeneration is explained by very early (1-2 years post-fire) canopy conditions

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

Using high-resolution aerial and satellite imagery along with plot data to understand fine-scale variability in tree mortality due to fire

Analyzing statewide fire severity data to model fuel accumulation rates and predict fire seveirty in reburns

Revisiting existing post-fire vegetation plots to assess how well the initial regeneration response predicts the longer-term trajectory

Collecting and analyzing field data to understand the drivers of post-fire reforestation outcomes

Analyzing large geospatial and plot-based datasets to understand drivers of drought-related forest mortality and the potential for post-drought recovery