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dc.contributor.authorCrawford, Anna J.
dc.contributor.authorMueller , Derek
dc.contributor.authorJoyal, Gabriel
dc.date.accessioned2019-02-04T10:30:11Z
dc.date.available2019-02-04T10:30:11Z
dc.date.issued2018-04-08
dc.identifier.citationCrawford , A J , Mueller , D & Joyal , G 2018 , ' Surveying drifting icebergs and ice islands : deterioration detection and mass estimation with aerial photogrammetry and laser scanning ' , Remote Sensing , vol. 10 , no. 4 , 575 . https://doi.org/10.3390/rs10040575en
dc.identifier.issn2072-4292
dc.identifier.otherPURE: 257600541
dc.identifier.otherPURE UUID: 562a7010-f816-41be-b90e-8b85ad3a293a
dc.identifier.otherScopus: 85045995139
dc.identifier.urihttps://hdl.handle.net/10023/16996
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.
dc.format.extent26
dc.language.isoeng
dc.relation.ispartofRemote Sensingen
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
dc.subjectIcebergsen
dc.subjectIce islandsen
dc.subjectTerrestrial laser scanningen
dc.subjectStructure-from-motion photogrammetryen
dc.subjectChange detectionen
dc.subjectIce hazardsen
dc.subjectGE Environmental Sciencesen
dc.subjectT Technology (General)en
dc.subjectDASen
dc.subject.lccGEen
dc.subject.lccT1en
dc.titleSurveying drifting icebergs and ice islands : deterioration detection and mass estimation with aerial photogrammetry and laser scanningen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.identifier.doihttps://doi.org/10.3390/rs10040575
dc.description.statusPeer revieweden


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