Journal of Digital Landscape Architecture

Seite drucken

Mapping Invasive Giant Goldenrod (Solidago gigantea) with Multispectral Images Acquired by Unmanned Aerial Vehicle

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
6988 -