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Abstract

Cost Comparison of Drone and Foot Based Early Bark Beetle Detection †

Department of Forest Work Science and Engineering, Faculty of Forest Science and Forest Ecology, Georg-August-University Göttingen, Büsgenweg 4, 37077 Göttingen, Germany
*
Author to whom correspondence should be addressed.
Presented at the 2nd International Electronic Conference on Forests—Sustainable Forests: Ecology, Management, Products and Trade, Online, 1–15 September 2021, Available Online: https://iecf2021.sciforum.net/.
Environ. Sci. Proc. 2022, 13(1), 26; https://doi.org/10.3390/IECF2021-10792
Published: 31 August 2021

Abstract

:
Early bark beetle detection is still a challenge, as the symptoms of early infestation stages are hard to identify. Conventional foot-based detection is time consuming, and the associated costs mostly depend on stand characteristics. Detection by gas sensor equipped drones has the potential to be more economical, as it does not rely on the limitations of walking speed on the ground. A novel drone-based system for early bark beetle detection by means of resin odor cues was compared to conventional foot-based detection. The results showed that the cost efficiency of the drone system was highly dependent on flight speed and hourly costs of the pilot, while the cost efficiency of the foot-based assessment highly depended on terrain slope and forest floor characteristics. In general, the drone-based detection of early infestation stages becomes more economical in comparison to the conventional foot-based detection method as forest areas, terrain slopes and understory density increase.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/IECF2021-10792/s1.

Author Contributions

Conceptualization, S.P. and D.J.; methodology, S.P.; validation, D.J.; formal analysis, S.P.; investigation, S.P.; resources, D.J.; data curation, S.P and D.J.; writing—original draft preparation, S.P.; writing—review and editing, D.J.; supervision, D.J.; project administration, S.P.; funding acquisition, S.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the BMVEL grant number 2220NR281A.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Paczkowski, S.; Jaeger, D. Cost Comparison of Drone and Foot Based Early Bark Beetle Detection. Environ. Sci. Proc. 2022, 13, 26. https://doi.org/10.3390/IECF2021-10792

AMA Style

Paczkowski S, Jaeger D. Cost Comparison of Drone and Foot Based Early Bark Beetle Detection. Environmental Sciences Proceedings. 2022; 13(1):26. https://doi.org/10.3390/IECF2021-10792

Chicago/Turabian Style

Paczkowski, Sebastian, and Dirk Jaeger. 2022. "Cost Comparison of Drone and Foot Based Early Bark Beetle Detection" Environmental Sciences Proceedings 13, no. 1: 26. https://doi.org/10.3390/IECF2021-10792

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