Journal article

Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis

T Poblete, C Camino, PSA Beck, A Hornero, T Kattenborn, M Saponari, D Boscia, JA Navas-Cortes, PJ Zarco-Tejada



Xylella fastidiosa (Xf) is a harmful plant pathogenic bacterium, able to infect over 500 plant species worldwide. Successful eradication and containment strategies for harmful pathogens require large-scale monitoring techniques for the detection of infected hosts, even when they do not display visual symptoms. Although a previous study using airborne hyperspectral and thermal imagery has shown promising results for the early detection of Xf-infected olive (Olea europaea) trees, further work is needed when adopting these techniques for large scale monitoring using multispectral cameras on board airborne platforms and satellites. We used hyperspectral and thermal imagery collected during a two..

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Awarded by European Union

Funding Acknowledgements

Data collection was partially supported by the European Union's Horizon 2020 research and innovation program through grants to the POnTE (Pest Organisms threatening Europe; grant 635646 from European Union's Horizon 2020 Framework Research Programme) and XF-ACTORS (Xylella fastidiosa Active Containment Through a Multidisciplinary-Oriented Research Strategy; grant 727987 from European Union's Horizon 2020 Framework Research Programme) projects. A. Hornero was supported by a research fellowship DTC GEO 29 "Detection of global photosynthesis and forest health from space" from the Science Doctoral Training Centre (Swansea University, UK). The authors would also like to thank D. Notario, A. Vera, and R. Romero from QuantaLab-IAS-CSIC (Spain) for their laboratory assistance and support during the airborne campaigns and image processing. B. Landa, M. MontesBorrego, J.L. Trapero-Casas, M. Morelli, and L. Susca are acknowledged for their support during the field campaigns, as well as IPSP-CNR and the Dipartimento di Scienze del Suolo (Universita di Bari, Italy) as host institutions. Any views expressed are purely those of the authors and may not, in any circumstances, be regarded as stating an official position of the European Commission.