Datasets_UAV_Early_Warning

Datasets created within the study "Early detection of bark beetles by drone images differs in endemic and epidemic populations". The aim of the research is to compare the appearance and the detectability of early symptoms in endemic and epidemic bark beetle populations using high-resolution UAV multispectral imagery. Results show that high population density triggers a more rapid and intense response regarding the emergence of symptoms, allowing an earlier detection of the infestation.
The datasets include: the median values of the vegetational indices calculated for every identified tree; the tree condition (infested, healthy or other), the survey dates, the experimental site identity, the trees identity (as described in the Materials and Methods section of the study).