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Recognize the Little Ones: UAS-Based In-Situ Fluorescent Tracer Detection

Institute of Landscape Ecology, University of Münster, Heisenbergstr. 2, 48149 Münster, Germany
Author to whom correspondence should be addressed.
Drones 2019, 3(1), 20;
Received: 21 December 2018 / Revised: 16 February 2019 / Accepted: 17 February 2019 / Published: 20 February 2019
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In ecological research, a key interest is to explore movement patterns of individual organisms across different spatial scales as one driver of biotic interactions. While various methods exist to detect and record the presence and movements of individuals in combination with UAS, addressing these for smaller animals, such as insects, is challenging and often fails to reveal information on potential interactions. Here, we address this gap by combining the UAS-based detection of small tracers of fluorescent dyes by means of a simple experiment under field conditions for the first time. We (1) excited fluorescent tracers utilizing an UV radiation source and recorded images with an UAS, (2) conducted a semi-automated selection of training and test samples to (3) train a simple SVM classifier, allowing (4) the classification of the recorded images and (5) the automated identification of individual traces. The tracer detection success significantly decreased with increasing altitude, increasing distance from the UV radiation signal center, and decreasing size of the fluorescent traces, including significant interactions amongst these factors. As a first proof-of-principle, our approach has the potential to be broadly applicable in ecological research, particularly in insect monitoring. View Full-Text
Keywords: UAV; drone; ecology; animal movement; plant-pollinator interaction; insect monitoring UAV; drone; ecology; animal movement; plant-pollinator interaction; insect monitoring

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Teickner, H.; Lehmann, J.R.K.; Guth, P.; Meinking, F.; Ott, D. Recognize the Little Ones: UAS-Based In-Situ Fluorescent Tracer Detection. Drones 2019, 3, 20.

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