
Invasive alien species are one of the main threats to worldwide biodiversity loss. Unmanned aerial vehicles with multispectral sensors offer a cost-effective alternative to monitor invasive plant species at a centimetre scale. Giant Goldenrod (Solidago gigantea) is one of the most problematic invasive alien plant species in Switzerland and controlling this species – especially in nature protection areas – is a priority. In this study, a methodology is developed to detect the Giant Goldenrod coverage via unmanned aerial vehicle (UAV) equipped with multispectral sensors. Very high resolution maps (6.5 cm) are produced and high accuracy is achieved for the classification of the Giant Goldenrod coverage with a kappa coefficient of 0.902 and an overall accuracy of 92.12%. These results indicate that UAV equipped with multispectral sensors is a valuable tool in monitoring and combatting invasive alien species.
Autor / Author: | Akandil, Cengiz; Meier, Patricia; Otaru, Oiza; Joshi, Jasmin |
Institution / Institution: | Eastern Switzerland University of Applied Sciences, Rapperswil/Switzerland / University of Zurich, Zürich/Switzerland; Eastern Switzerland University of Applied Sciences, Rapperswil/Switzerland; Eastern Switzerland University of Applied Sciences, Rapperswil/Switzerland; Eastern Switzerland University of Applied Sciences, Rapperswil/Switzerland |
Seitenzahl / Pages: | 12 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA − Journal of Digital Landscape Architecture, 6-2021 |
Tagung / Conference: | Digital Landscape Architecture 2021 – Resilient Landscape Architecture and Global Change |
Veranstaltungsort, -datum / Venue, Date: | Anhalt University, Dessau, Köthen and Bernburg, Germany 26-05-21 - 28-05-21 |
Schlüsselwörter (de): | |
Keywords (en): | Invasive Alien Species (IAS), invasive neophytes, Unmanned Aerial Vehicles (UAV), multispectral sensors, remote sensing |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537705021 |
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