[from the text] Understanding jack pine revegetation after fire is impor-tant for improving sustainable timber harvest practices and for providing suitable wildlife habitat for Kirtland’s warbler. Remote sensing imagery allows researchers to rapidly assess environmental data after fire, but satellite imagery often has poor quality spatial resolution or may be cost-prohibitive at high spatial resolution. In contrast, unmanned aerial systems (UAS) may provide imagery with greater spatial and temporal resolution and reduced atmospheric noise relative to imagery from manned aircrafts and satellites. UAS imagery may be used to generate digital surface models with the potential for individual tree detection (IDT), an application with im-portant implications for forest management. Photogram-metric methods vary in their tree identification accuracy, and there is a need to develop cost-effective and computationally-efficient IDT methods.