Unmanned Aerial Vehicles for Alient Plant Species Detection and Monitoring

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dc.contributor.authorDvořák, Petrcs
dc.contributor.authorMüllerová, Janacs
dc.contributor.authorBartaloš, Tomášcs
dc.contributor.authorBrůna, Josefcs
dc.coverage.issueICWG I/Vbcs
dc.coverage.volumeXL-1/W4cs
dc.date.accessioned2021-08-20T10:52:09Z
dc.date.available2021-08-20T10:52:09Z
dc.date.issued2015-09-02cs
dc.description.abstractInvasive species spread rapidly and their eradication is difficult. New methods enabling fast and efficient monitoring are urgently needed for their successful control. Remote sensing can improve early detection of invading plants and make their management more efficient and less expensive. In an ongoing project in the Czech Republic, we aim at developing innovative methods of mapping invasive plant species (semi-automatic detection algorithms) by using purposely designed unmanned aircraft (UAV). We examine possibilities for detection of two tree and two herb invasive species. Our aim is to establish fast, repeatable and efficient computer-assisted method of timely monitoring, reducing the costs of extensive field campaigns. For finding the best detection algorithm we test various classification approaches (object-, pixel-based and hybrid). Thanks to its flexibility and low cost, UAV enables assessing the effect of phenological stage and spatial resolution, and is most suitable for monitoring the efficiency of eradication efforts. However, several challenges exist in UAV application, such as geometrical and radiometric distortions, high amount of data to be processed and legal constrains for the UAV flight missions over urban areas (often highly invaded). The newly proposed UAV approach shall serve invasive species researchers, management practitioners and policy makers.en
dc.description.abstractPříspěvek popisuje aplikaci bezpilotních leteckých prostředků pro detekci a monitoring invazních rostlinných druhů jako velmi účinnou metodu.cs
dc.formattextcs
dc.format.extent83-90cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2015, vol. XL-1/W4, issue ICWG I/Vb, p. 83-90.en
dc.identifier.doi10.5194/isprsarchives-XL-1-W4-83-2015cs
dc.identifier.issn2194-9034cs
dc.identifier.other117400cs
dc.identifier.urihttp://hdl.handle.net/11012/201073
dc.language.isoencs
dc.publisherInternational Society of Photogrammetry and Remote Sensing (ISPRS), Copernicuscs
dc.relation.ispartofThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciencescs
dc.relation.urihttp://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/83/2015/isprsarchives-XL-1-W4-83-2015.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2194-9034/cs
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/cs
dc.subjectAutomated processingen
dc.subjectAPM Planeen
dc.subjectFixed-wing platformen
dc.subjectGeometric and radiometric correctionen
dc.subjectInvasive speciesen
dc.subjectMappingen
dc.subjectObject- and pixel-based classificationen
dc.subjectAutomatické zpracování
dc.subjectAPM Plane
dc.subjectletoun
dc.subjectGeometrické a radiometrické korekce
dc.subjectinvazní druhy
dc.subjectMapování
dc.subjectObjektove a pixelově orientovaná klasifikace
dc.titleUnmanned Aerial Vehicles for Alient Plant Species Detection and Monitoringen
dc.title.alternativeBezpilotní prostředky pro detekci a monitoring invaznních rostlinných druhůcs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-117400en
sync.item.dbtypeVAVen
sync.item.insts2021.11.22 12:54:44en
sync.item.modts2021.11.22 12:25:27en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Divize letecké a automobilní technikycs
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