Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36403
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dc.contributor.authorCrawford, Annaen_UK
dc.contributor.authorMueller, Dereken_UK
dc.contributor.authorJoyal, Gabrielen_UK
dc.date.accessioned2024-11-06T01:00:16Z-
dc.date.available2024-11-06T01:00:16Z-
dc.date.issued2018en_UK
dc.identifier.other575en_UK
dc.identifier.urihttp://hdl.handle.net/1893/36403-
dc.description.abstractIcebergs and ice islands (large, tabular icebergs) are challenging targets to survey due to their size, mobility, remote locations, and potentially difficult environmental conditions. Here, we assess the precision and utility of aerial photography surveying with structure-from-motion multi-view stereo photogrammetry processing (SfM) and vessel-based terrestrial laser scanning (TLS) for iceberg deterioration detection and mass estimation. For both techniques, we determine the minimum amount of change required to reliably resolve iceberg deterioration, the deterioration detection threshold (DDT), using triplicate surveys of two iceberg survey targets. We also calculate their relative uncertainties for iceberg mass estimation. The quality of deployed Global Positioning System (GPS) units that were used for drift correction and scale assignment was a major determinant of point cloud precision. When dual-frequency GPS receivers were deployed, DDT values of 2.5 and 0.40 m were calculated for the TLS and SfM point clouds, respectively. In contrast, values of 6.6 and 3.4 m were calculated when tracking beacons with lower-quality GPS were used. The SfM dataset was also more precise when used for iceberg mass estimation, and we recommend further development of this technique for iceberg-related end-uses.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationCrawford A, Mueller D & Joyal G (2018) Surveying Drifting Icebergs and Ice Islands: Deterioration Detection and Mass Estimation with Aerial Photogrammetry and Laser Scanning. <i>Remote Sensing</i>, 10 (4), Art. No.: 575. https://doi.org/10.3390/rs10040575en_UK
dc.rightsCopyright 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/).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjecticebergsen_UK
dc.subjectice islandsen_UK
dc.subjectterrestrial laser scanningen_UK
dc.subjectstructure-from-motion photogrammetryen_UK
dc.subjectchange detectionen_UK
dc.subjectice hazardsen_UK
dc.titleSurveying Drifting Icebergs and Ice Islands: Deterioration Detection and Mass Estimation with Aerial Photogrammetry and Laser Scanningen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/rs10040575en_UK
dc.citation.jtitleRemote Sensingen_UK
dc.citation.issn2072-4292en_UK
dc.citation.volume10en_UK
dc.citation.issue4en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailanna.crawford@stir.ac.uken_UK
dc.citation.date08/04/2018en_UK
dc.contributor.affiliationCarleton Universityen_UK
dc.contributor.affiliationCarleton Universityen_UK
dc.contributor.affiliationUniversité Lavalen_UK
dc.identifier.isiWOS:000435187500087en_UK
dc.identifier.scopusid2-s2.0-85045995139en_UK
dc.identifier.wtid1998330en_UK
dc.date.accepted2023-04-03en_UK
dcterms.dateAccepted2023-04-03en_UK
dc.date.filedepositdate2024-10-23en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorCrawford, Anna|en_UK
local.rioxx.authorMueller, Derek|en_UK
local.rioxx.authorJoyal, Gabriel|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2024-10-23en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2024-10-23|en_UK
local.rioxx.filenameSurveying Drifting Icebergs and Ice Islands.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2072-4292en_UK
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