Measuring understorey vegetation structure using a novel mixed-reality device

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dc.citation.firstpage1949en_US
dc.citation.issueNumber9en_US
dc.citation.journalTitleMethods in Ecology and Evolutionen_US
dc.citation.lastpage1954en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorGorczynski, Danielen_US
dc.contributor.authorBeaudrot, Lydiaen_US
dc.contributor.orgProgram in Ecology and Evolutionary Biologyen_US
dc.date.accessioned2022-09-08T14:39:59Zen_US
dc.date.available2022-09-08T14:39:59Zen_US
dc.date.issued2022en_US
dc.description.abstractMost ecological studies of vegetation structure have relied on manual field measurements that are labour-intensive and time-consuming. Many current alternatives to classical measurements are expensive or difficult to transport to field settings. Here we evaluated a new method for measuring understorey vegetation with a novel mixed-reality, remote sensing device, the Microsoft HoloLens. We developed a vegetation sensing application called VegSense that allows the HoloLens user to control the device's environmental scanners to measure understorey vegetation. Using VegSense, we tested the ability of the Microsoft HoloLens relative to classical field measurements to (a) detect trees and saplings, (b) measure diameter at breast height (DBH), (c) detect individual understorey vegetation structures and (d) estimate understorey vegetation complexity replicating the rod-transect method. We found that VegSense performed well in detecting and measuring trees with a DBH of 17 cm or more and estimating vegetation complexity and performed moderately at detecting understorey vegetation. Our results indicate that the HoloLens is a suitable alternative for multiple classical field measurements of understorey vegetation. This method costs much less than typical terrestrial LiDAR systems, and can facilitate efficient, high-quality environmental data collection. Further software development has the potential to reveal additional ways in which this device can be harnessed for applications to ecology and evolution.en_US
dc.identifier.citationGorczynski, Daniel and Beaudrot, Lydia. "Measuring understorey vegetation structure using a novel mixed-reality device." <i>Methods in Ecology and Evolution,</i> 13, no. 9 (2022) Wiley: 1949-1954. https://doi.org/10.1111/2041-210X.13927.en_US
dc.identifier.digitalGorczynski-Measuring-understoreyen_US
dc.identifier.doihttps://doi.org/10.1111/2041-210X.13927en_US
dc.identifier.urihttps://hdl.handle.net/1911/113189en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.titleMeasuring understorey vegetation structure using a novel mixed-reality deviceen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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