Detection of Olive Trees Affected by Xylella Fastidiosa from Hyperspectral and Thermal UAV Data

We report some results of an experiment to detect early occurrence of Xylella fastidiosa (Xf) in olive trees in the Apulia Region (southern Italy), performed in the framework of a project to assess the feasibility of a service addressed to agricultural authorities. An acquisition campaign was performed in September 2022, over a Xf-affected test area, using UAVborne hyperspectral and thermal sensors. Ground data were also collected through qPCR. Results of classification through SVM provide overall accuracy values ranging from 0.76 to 0.84.