UNH Researchers Find Better Way to Delineate Tree Crowns Using Aerial Imagery
July 28, 2020
July 28, 2020
DURHAM, New Hampshire, July 28 -- The University of New Hampshire issued the following news release:
In a new study, University of New Hampshire 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. The research is important to New Hampshire landowners and forest managers as . . .
In a new study, University of New Hampshire 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. The research is important to New Hampshire landowners and forest managers as . . .