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  1. National Taiwan Ocean University Research Hub
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  3. 海洋工程科技學士學位學程(系)
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/17280
DC FieldValueLanguage
dc.contributor.authorHui-Ming Fangen_US
dc.contributor.authorKuan-Tsung Changen_US
dc.contributor.authorSung-Shan Hsiaoen_US
dc.contributor.authorShih-Peng Chiangen_US
dc.date.accessioned2021-06-10T05:33:54Z-
dc.date.available2021-06-10T05:33:54Z-
dc.date.issued2021-05-
dc.identifier.issn1023-2796-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/17280-
dc.description.abstractThe mechanisms of in situ topography changes must be identified for spatial planning in coastal areas. In this study, the authors used in situ direct measurement methods and indirect remote-sensing technologies to develop a method for beach topography surveillance. Unmanned aerial vehicles (UAVs) have advantages of high portability and mobility and low operating altitude. Therefore, a UAV was equipped with a lightweight camera and a positioning system that comprised a global positioning system and an inertial measurement unit. Aerial photogrammetry and aerial triangulation methods were adopted for matching image feature points to obtain the corresponding topographic points in the sand. A virtual base station with real-time kinematic positioning functionality was used to measure the coordinates of the ground control points for correcting the actual coordinates to obtain actual topographic points of the beach sand. The results obtained using image-matching point clouds and direct measurements were compared. The ground sample distance of a UAV at the operational altitude of 70 m was 3.26 cm. Moreover, the average elevation error was 3.20 cm, and the root mean square error was 0.169 m. The measurement error was +/- 25 cm, which was within the acceptance criteria of +/- 50 cm set by Water Resources Agency, Ministry of Economic Affairs, Taiwan. UAV imaging technology can increase the efficiency of conventional manual sampling and reduce the cost of indirect observations, thus minimizing the measurement errors and field measurement costs.en_US
dc.language.isoen_USen_US
dc.publisherNATL TAIWAN OCEAN UNIVen_US
dc.relation.ispartofJ MAR SCI TECH-TAIWen_US
dc.subjectUnmanned aerial vehiclesen_US
dc.subjectPhotogrammetryen_US
dc.subjectBeach topographyen_US
dc.titleBeach Topography Surveying Using Unmanned Aerial Vehicle Photogrammetry Technologyen_US
dc.typejournal articleen_US
dc.identifier.doi10.51400/2709-6998.1000-
dc.identifier.isiWOS:000638998800001-
dc.relation.journalvolume29en_US
dc.relation.journalissue1en_US
dc.relation.pages1-17en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypejournal article-
crisitem.author.deptCollege of Engineering-
crisitem.author.deptBachelor Degree Program in Ocean Engineering and Technology-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.deptCollege of Engineering-
crisitem.author.deptDepartment of Harbor and River Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.deptCenter of Excellence for Ocean Engineering-
crisitem.author.deptRiver and Coastal Disaster Prevention-
crisitem.author.deptEcology and Environment Construction-
crisitem.author.orcid0000-0002-4110-9630-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Engineering-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Engineering-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCenter of Excellence for Ocean Engineering-
crisitem.author.parentorgCenter of Excellence for Ocean Engineering-
Appears in Collections:河海工程學系
海洋工程科技學士學位學程(系)
06 CLEAN WATER & SANITATION
14 LIFE BELOW WATER
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