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Communication

Evaluation of Early Bark Beetle Infestation Localization by Drone-Based Monoterpene Detection

1
Department of Forest Work Science and Engineering, Georg August University Göttingen, Büsgenweg 4, 37077 Göttingen, Germany
2
Chair of Remote Sensing and Landscape Information Systems, Albert-Ludwig-University Freiburg, Tennenbacherstr. 4, 79106 Freiburg, Germany
3
Chair of Forest Utilization, University of Applied Forest Science Rottenburg, Schadenweilerhof, 72108 Rottenburg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Angela Lo Monaco
Forests 2021, 12(2), 228; https://doi.org/10.3390/f12020228
Received: 15 January 2021 / Revised: 5 February 2021 / Accepted: 11 February 2021 / Published: 16 February 2021
The project PROTECTFOREST deals with improvements in early bark beetle (e.g., Ips typographus and Pityogenes chalcographus) detection to allow for fast and effective response to initial infestation. The removal of trees in the early infestation stage can prohibit bark beetle population gradation and successive timber price decrease. A semiconductor gas sensor array was tested in the lab and attached to a drone under artificial and real-life field conditions. The sensor array was able to differentiate between α-pinene amounts and between different temperatures under lab conditions. In the field, the sensor responded to a strong artificial α-pinene source. The real-life field trial above a spruce forest showed preliminary results, as technical and environmental conditions compromised a proof of principle. Further research will evaluate the detection rate of infested trees for the new proposed sensor concept. View Full-Text
Keywords: UAV; VOC; drone sensor; semiconductor metal oxide gas sensors; alpha pinene UAV; VOC; drone sensor; semiconductor metal oxide gas sensors; alpha pinene
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MDPI and ACS Style

Paczkowski, S.; Datta, P.; Irion, H.; Paczkowska, M.; Habert, T.; Pelz, S.; Jaeger, D. Evaluation of Early Bark Beetle Infestation Localization by Drone-Based Monoterpene Detection. Forests 2021, 12, 228. https://doi.org/10.3390/f12020228

AMA Style

Paczkowski S, Datta P, Irion H, Paczkowska M, Habert T, Pelz S, Jaeger D. Evaluation of Early Bark Beetle Infestation Localization by Drone-Based Monoterpene Detection. Forests. 2021; 12(2):228. https://doi.org/10.3390/f12020228

Chicago/Turabian Style

Paczkowski, Sebastian, Pawan Datta, Heidrun Irion, Marta Paczkowska, Thilo Habert, Stefan Pelz, and Dirk Jaeger. 2021. "Evaluation of Early Bark Beetle Infestation Localization by Drone-Based Monoterpene Detection" Forests 12, no. 2: 228. https://doi.org/10.3390/f12020228

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