Published August 12, 2020 | Version v1
Dataset Open

Fluorescence‐based detection of field targets using an autonomous unmanned aerial vehicle system

  • 1. Foundation for Scientific Advancement*
  • 2. University of Hong Kong

Description

This dataset comprises of the IDL code referenced in the 'Open Research' section of the Kaye and Pittman (2020) study 'Fluorescence‐based detection of field targets using an autonomous unmanned aerial vehicle system' published in Methods in Ecology and Evolution (https://doi.org/10.1111/2041-210X.13402).

This study describes a proof‐of‐concept autonomous unmanned aerial vehicle (UAV) system that utilizes the fluorescence characteristics unique to different materials to scan and acquire targets in the field e.g. fossils, rocks and minerals, organisms and archaeological artefacts. This is possible because these targets are often highly fluorescent against lower fluorescence backgrounds and may exhibit different colours. Fluorescence is stimulated by a near‐UV laser that is projected across the ground as a horizontal line directly below the UAV. The IDL code is for laser line and colour extractions in the laser scan strip. The raw .jpeg data for the IDL code is not provided here as this depends on what target is being scanned. All image data are made available in the paper. Additional contextual information is provided in the '2 MATERIALS AND METHODS' section of the paper, especially in Figure 3.

Notes

Funding provided by: Faculty of Science, The University of Hong Kong*
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Funding provided by: RAE Improvement Fund, Faculty of Science, The University of Hong Kong
Crossref Funder Registry ID:

Funding provided by: Foundation for Scientific Advancement
Crossref Funder Registry ID:

Funding provided by: Faculty of Science, The University of Hong Kong
Crossref Funder Registry ID:

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Additional details

Related works

Is cited by
10.1111/2041-210x.13402 (DOI)