UNH Researchers Identify More Effective Method to Delineate Tree Crowns Using Unmanned Aerial Imagery
In a new study, Âé¶¹app researchers have concluded that when assessing forest imagery collected by unmanned aerial systems, an alternative method of delineating individual forest tree crowns within those images is more accurate than the most commonly used method, the canopy height model.









































