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dc.contributor.authorDuffy, J
dc.contributor.authorShutler, J
dc.contributor.authorWitt, M
dc.contributor.authorDeBell, L
dc.contributor.authorAnderson, K
dc.date.accessioned2018-09-18T08:41:40Z
dc.date.issued2018-09-18
dc.description.abstractCoastal dunes are globally-distributed dynamic ecosystems that occur at the land-sea interface. They are sensitive to disturbance both from natural forces and anthropogenic stressors, and therefore require regular monitoring to track changes in their form and function ultimately informing management decisions. Existing techniques employing satellite or airborne data lack the temporal or spatial resolution to resolve fine-scale changes in these environments, both temporally and spatially whilst fine-scale in-situ monitoring (e.g. terrestrial laser scanning) can be costly and is therefore confined to relatively small areas. The rise of proximal sensing-based Structure-from-Motion Multi-View Stereo (SfM-MVS) photogrammetric techniques for land surface surveying offers an alternative, scale-appropriate method for spatially distributed surveying of dune systems. Here we present the results of an inter- and intra-annual experiment which utilised a low-cost and highly portable kite aerial photography (KAP) and SfM-MVS workflow to track sub-decimeter spatial scale changes in dune morphology over timescales of between 3 and 12 months. We also compare KAP and drone surveys undertaken at near-coincident times of the same dune system to test the KAP reproducibility. Using a Monte Carlo based change detection approach (Multiscale Model to Model Cloud Comparison (M3C2)) which quantifies and accounts for survey uncertainty, we show that the KAP-based survey technique, whilst exhibiting higher x,y,z uncertainties than the equivalent drone methodology, is capable of delivering data describing dune system topographical change. Significant change (according to M3C2); both positive (accretion) and negative (erosion) was detected across 3, 6 and 12 month timescales with the majority of change detected below 500 mm. Significant topographic changes as small as ~20 mm were detected between surveys. We demonstrate that portable, low-cost consumer-grade KAP survey techniques, which have been employed for decades for hobbyist aerial photography can now deliver science-grade data, and we argue that kites are well-suited to coastal survey where winds and sediment might otherwise impede surveys by other proximal sensing platforms, such as drones.en_GB
dc.description.sponsorshipThis research was funded by [Natural Environment Research Council] grant number [570009815].en_GB
dc.identifier.citationVol. 10 (9), article 1494en_GB
dc.identifier.doi10.3390/rs10091494
dc.identifier.urihttp://hdl.handle.net/10871/34019
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.relation.urlhttps://doi.org/10.24378/exe.723en_GB
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.subjectCoastal dunesen_GB
dc.subjectdroneen_GB
dc.subjectKAPen_GB
dc.subjectkiteen_GB
dc.subjectmonitoringen_GB
dc.subjectstructure-from-motionen_GB
dc.subjectchange analysisen_GB
dc.subjectPhotoScanen_GB
dc.subjectpoint clouden_GB
dc.titleTracking fine-scale structural changes in coastal dune morphology using kite aerial photography and uncertainty-assessed Structure-from-Motion photogrammetry (article)en_GB
dc.typeArticleen_GB
dc.identifier.issn2072-4292
dc.descriptionThis is the final version. Available from MDPI via the DOI in this record.en_GB
dc.descriptionThe dataset associated with this article is in ORE at: https://doi.org/10.24378/exe.723en_GB
dc.identifier.journalRemote Sensingen_GB


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