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Current-researches
Drone-based forest mapping
Developing methods to map forests at the individual tree level using drones, photogrammetry, and computer vision
Early post-fire regeneration
Using drone and field data to understand how well post-fire regeneration is explained by very early (1-2 years post-fire) canopy conditions
Conifer seed production and dispersal
Combining drone-based tree maps and field surveys to model seed dispersal and tree regeneration across post-fire landscapes
Fine-scale fire severity patterns
Using high-resolution aerial and satellite imagery along with plot data to understand fine-scale variability in tree mortality due to fire
Fuel accumulation and reburn severity
Analyzing statewide fire severity data to model fuel accumulation rates and predict fire seveirty in reburns
Predictability of regeneration trajectories
Revisiting existing post-fire vegetation plots to assess how well the initial regeneration response predicts the longer-term trajectory
Understanding reforestation outcomes
Collecting and analyzing field data to understand the drivers of post-fire reforestation outcomes
Forest mortality and recovery
Analyzing large geospatial and plot-based datasets to understand drivers of drought-related forest mortality and the potential for post-drought recovery