Leveraging eddy covariance, automated above- and below-ground dendrometers, and drone- and satellite-based remote sensing to assess the timing and allocation of carbon uptake and storage in a mixed Acadian Forest
Applying drone-based LiDAR for forest inventories, growth-yield modelling, and predicting tree architecture
Field surveys and drone- and satellite-based remote sensing to map invasive Phragmites in NB and to understand their spread and growth rates
Using handheld-, drone-, and satellite-based remote sensing to delineate vegetation coverage and quantify biofilm activity in coastal NB mudflats
Greenhouse screening of spruce seedling genotypes using multispectral and hyperspectral remote sensing to assess drought tolerance and resilience
Drone- and satellite-based multispectral remote sensing with insect traps to assess insect presence and activity and development of early detection
Field surveys and drone-based remote sensing to quantify fire fuels in Acadian Forest blowdown impacted stands
