Our research in this area spans work on improving plot design to optimize estimation, simulating tree spatial patterns in forests, and modeling forest attributes such as canopy height and density with inventory, topographic, and remotely sensed data.

Related publications

Lister, A., L. Leites. 2018. Modeling and simulation of tree spatial patterns in an oak-hickory forest with a novel, modular, and hierarchical spatial point process framework. Ecological Modelling. 378:37-45.

Brubaker, K., S. Johnson, J. Brinks, and L. Leites. 2014. Estimating canopy height of deciduous forests at a regional scale with leaf-off, low point density LiDAR. Canadian Journal of Remote Sensing. 40(2):123-134.