The performance of shoreline detection models applied to video imagery Plant, N en_US Aarninkhof, S en_US Turner, Ian en_US Kingston, K en_US 2021-11-25T14:34:58Z 2021-11-25T14:34:58Z 2007 en_US
dc.description.abstract Digital images of the intertidal region were used to map shorelines and the intertidal bathymetry along four geomorphically and hydrodynamically distinct coastlines in the United States, United Kingdom, The Netherlands, and Australia: Mapping methods, each of which was originally designed to perform well at only one of the four sites, were applied to all four sites, and the results were compared to direct topographic surveys. It was determined that the rms errors of image-derived versus directly surveyed elevations depended on the prevailing hydrodynamic conditions as well as differences in each of the four different mapping methods. Before these differences were accounted for, rms errors ranged from 0.3 to 0.7 m. An empirical correction model that computed local estimates of setup, swash, and surf beat amplitudes reduced errors by about 50%, with residual rms errors ranging between 0.1 and 0.4 m. The model required tuning only one parameter that determined how each method was affected by swash at infragravity and incident wave frequencies. In environments where all methods successfully identify shorelines, the methods can be used somewhat interchangeably. The diversity of methods is advantageous in situations where one or more methods are likely to fail (e.g., lack of color imagery, high degree of alongshore variability). This remote sensing methodology can be applied to the shoreline and inter-tidal mapping problem across diverse nearshore environments. en_US
dc.identifier.issn 0749-0208 en_US
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Legacy MARC en_US
dc.subject.other morphology en_US
dc.subject.other management en_US
dc.title The performance of shoreline detection models applied to video imagery en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofissue 3 en_US
unsw.relation.ispartofjournal Journal of Coastal Research en_US
unsw.relation.ispartofpagefrompageto 658-670 en_US
unsw.relation.ispartofvolume 23 en_US
unsw.relation.originalPublicationAffiliation Plant, N en_US
unsw.relation.originalPublicationAffiliation Aarninkhof, S en_US
unsw.relation.originalPublicationAffiliation Turner, Ian, Civil & Environmental Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Kingston, K en_US School of Civil and Environmental Engineering *
Resource type