Mapping Wild Leek through the Forest Canopy Using a UAV

dc.contributor.authorLeduc, Marie-Bé
dc.contributor.authorKnudby, Anders
dc.date.accessioned2019-04-12T21:56:13Z
dc.date.available2019-04-12T21:56:13Z
dc.date.issued2018
dc.description.abstractWild leek, an endangered plant species of Eastern North America, grows on forest floors and greens up to approximately three weeks before the trees it is typically found under, temporarily allowing it to be observed through the canopy by remote sensing instruments. This paper explores the accuracy with which wild leek can be mapped with a low-flying UAV. Nadir video imagery was obtained using a commercial UAV during the spring of 2017 in Gatineau Park, Quebec. Point clouds were generated from the video frames with the Structure-from-Motion framework, and a multiscale curvature classification was used to separate points on the ground, where wild leek grows, from above-ground points belonging to the forest canopy. Five-cm resolution orthomosaics were created from the ground points, and a threshold value of 0.350 for the green chromatic coordinate (GCC) was applied to delineate wild leek from wood, leaves, and other plants on the forest floor, with an F1-score of 0.69 and 0.76 for two different areas. The GCC index was most effective in delineating bigger patches, and therefore often misclassified patches smaller than 30 cm in diameter. Although short flight times and long data processing times are presently technical challenges to upscaling, the low cost and high accuracy of UAV imagery provides a promising method for monitoring the spatial distribution of this endangered species.
dc.identifier.doi10.3390/rs10010070en_US
dc.identifier.doi10.3390/rs10010070
dc.identifier.issn2072-4292en_US
dc.identifier.issn2072-4292
dc.identifier.urihttps://doi.org/10.20381/ruor-23313
dc.identifier.urihttp://hdl.handle.net/10393/39064
dc.identifier.urihttps://doi.org/10.3390/rs10010070
dc.language.isoenen_US
dc.publisherMultidisciplinary Digital Publishing Institute
dc.relation.ispartofRemote Sensing
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectUnmanned aerial vehicle (UAV)en
dc.subjectWild leeken
dc.subjectStructure from Motion (SfM)en
dc.titleMapping Wild Leek through the Forest Canopy Using a UAVen_US
dc.typeArticleen_US

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