期刊论文详细信息
Forests
Evaluation of Early Bark Beetle Infestation Localization by Drone-Based Monoterpene Detection
Stefan Pelz1  Heidrun Irion2  Pawan Datta2  Marta Paczkowska3  Thilo Habert3  Sebastian Paczkowski3  Dirk Jaeger3 
[1]Chair of Forest Utilization, University of Applied Forest Science Rottenburg, Schadenweilerhof, 72108 Rottenburg, Germany
[2]Chair of Remote Sensing and Landscape Information Systems, Albert-Ludwig-University Freiburg, Tennenbacherstr. 4, 79106 Freiburg, Germany
[3]Department of Forest Work Science and Engineering, Georg August University Göttingen, Büsgenweg 4, 37077 Göttingen, Germany
关键词: UAV;    VOC;    drone sensor;    semiconductor metal oxide gas sensors;    alpha pinene;   
DOI  :  10.3390/f12020228
来源: DOAJ
【 摘 要 】
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.
【 授权许可】

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