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dc.contributor.authorMather, Anne
dc.contributor.authorFyfe, R
dc.contributor.authorClason, Caroline
dc.contributor.authorStokes, M
dc.contributor.authorMills, S
dc.contributor.authorBarrows, TT
dc.date.accessioned2018-08-30T15:14:02Z
dc.date.issued2018-08-23
dc.identifier.issn0309-1333
dc.identifier.issn1477-0296
dc.identifier.urihttp://hdl.handle.net/10026.1/12207
dc.description.abstract

<jats:p>Relict landforms provide a wealth of information on the evolution of the modern landscape and climate change in the past. To improve understanding of the origin and development of these landforms we need better spatial measurements across a variety of scales. This can be challenging using conventional surveying techniques due to difficulties in landform recognition on the ground (e.g. weak visual/topographic expression) and spatially variable areas of interest. Here we explore the appropriateness of existing remote sensing datasets (aerial LiDAR and aerial photography) and newly acquired unmanned aerial vehicle (UAV) imagery of a test site on the upland of Dartmoor in SW England (Leeden Tor) for the recognition and automated mapping of relict patterned ground composed of stripes and polygons. We find that the recognition of these landforms is greatly enhanced by automated mapping using spectral two-dimensional imagery. Image resolution is important, with the recognition of elements (boulders) of &lt;1 m maximised from the highest resolution imagery (UAV red-green-blue (RGB)) and recognition of landforms (10–100 m scale) maximised on coarser resolution aerial imagery. Topographic metrics of these low relief (0.5 m) landforms are best extracted from structure-from-motion (SfM) processed UAV true-colour imagery, and in this context the airborne LiDAR data proved less effective. Integrating automated mapping using spectral attributes and SfM-derived digital surface models from UAV RGB imagery provides a powerful tool for rapid reconnaissance of field sites to facilitate the extraction of meaningful topographic and spatial metrics that can inform on the origin of relict landform features. Care should be given to match the scale of features under consideration to the appropriate scale of datasets available.</jats:p>

dc.format.extent174-192
dc.languageen
dc.language.isoen
dc.publisherSAGE Publications
dc.subjectPeriglacial environment
dc.subjectstructure-from-motion
dc.subjectDartmoor
dc.subjectunmanned aerial vehicle
dc.subjectUAV
dc.subjectspatial scale
dc.subjectpatterned ground
dc.subjectautomated mapping
dc.titleAutomated mapping of relict patterned ground: An approach to evaluate morphologically subdued landforms using unmanned-aerialvehicle and structure-from-motion technologies
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000465353700002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue2
plymouth.volume43
plymouth.publication-statusPublished
plymouth.journalProgress in Physical Geography
dc.identifier.doi10.1177/0309133318788966
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Admin Group - REF
plymouth.organisational-group/Plymouth/Admin Group - REF/REF Admin Group - FoSE
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Geography, Earth and Environmental Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA14 Geography and Environmental Studies
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Centre for Research in Environment and Society (CeRES)
plymouth.organisational-group/Plymouth/Research Groups/Centre for Research in Environment and Society (CeRES)/CeRES (Reporting)
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dcterms.dateAccepted2018-06-15
dc.rights.embargodate2018-9-8
dc.identifier.eissn1477-0296
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1177/0309133318788966
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-08-23
rioxxterms.typeJournal Article/Review


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