Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models

This study presents an analysis of shoreline change on reef islands using unmanned aerial vehicle (UAV)-derived orthomosaics and digital surface models (DSMs) collected on Sipadan Island, Sabah, Malaysia, and Sasahura Ite Island, Isabel Province, Solomon Islands. The high resolution of UAV-derived o...

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Main Authors: Meagan K. Lowe, Farrah Anis Fazliatul Adnan, Sarah M. Hamylton, Rafael C. Carvalho, Colin D. Woodroffe
Format: Article
Language:English
Published: MDPI 2019
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/42474/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42474/
http://dx.doi.org/10.3390/drones3020044
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spelling my.ums.eprints.424742024-12-31T01:22:47Z https://eprints.ums.edu.my/id/eprint/42474/ Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models Meagan K. Lowe Farrah Anis Fazliatul Adnan Sarah M. Hamylton Rafael C. Carvalho Colin D. Woodroffe GB471-478.995 Islands TK7885-7895 Computer engineering. Computer hardware This study presents an analysis of shoreline change on reef islands using unmanned aerial vehicle (UAV)-derived orthomosaics and digital surface models (DSMs) collected on Sipadan Island, Sabah, Malaysia, and Sasahura Ite Island, Isabel Province, Solomon Islands. The high resolution of UAV-derived orthomosaics enabled changes in the position of the base of beach to be detected with confidence. The accuracy of the UAV-derived DSMs was assessed against equivalent topographic profiles via root-mean-square error, and found to be <0.21 m in all but one case; this demonstrates the potential for using UAV-derived DSMs to interpret three-dimensional island beach morphology and detect patterns of geomorphic change. The correlation between planimetric and volumetric change along selected beach transects was also investigated and found to be variable, indicating that a multifaceted approach including both planimetric (two-dimensional) and volumetric (three-dimensional) metrics is of value when analysing reef-island change. However, interpretations of UAV-derived data must carefully consider errors associated with global positioning system (GPS) positioning, the distribution of ground control points, the chosen UAV flight parameters, and the data processing methodology. Further application of this technology has the potential to expand our understanding of reef-island morphodynamics and their vulnerability to sea-level rise and other stressors. MDPI 2019 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42474/1/FULL%20TEXT.pdf Meagan K. Lowe and Farrah Anis Fazliatul Adnan and Sarah M. Hamylton and Rafael C. Carvalho and Colin D. Woodroffe (2019) Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models. Drones, 3. pp. 1-19. http://dx.doi.org/10.3390/drones3020044
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic GB471-478.995 Islands
TK7885-7895 Computer engineering. Computer hardware
spellingShingle GB471-478.995 Islands
TK7885-7895 Computer engineering. Computer hardware
Meagan K. Lowe
Farrah Anis Fazliatul Adnan
Sarah M. Hamylton
Rafael C. Carvalho
Colin D. Woodroffe
Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models
description This study presents an analysis of shoreline change on reef islands using unmanned aerial vehicle (UAV)-derived orthomosaics and digital surface models (DSMs) collected on Sipadan Island, Sabah, Malaysia, and Sasahura Ite Island, Isabel Province, Solomon Islands. The high resolution of UAV-derived orthomosaics enabled changes in the position of the base of beach to be detected with confidence. The accuracy of the UAV-derived DSMs was assessed against equivalent topographic profiles via root-mean-square error, and found to be <0.21 m in all but one case; this demonstrates the potential for using UAV-derived DSMs to interpret three-dimensional island beach morphology and detect patterns of geomorphic change. The correlation between planimetric and volumetric change along selected beach transects was also investigated and found to be variable, indicating that a multifaceted approach including both planimetric (two-dimensional) and volumetric (three-dimensional) metrics is of value when analysing reef-island change. However, interpretations of UAV-derived data must carefully consider errors associated with global positioning system (GPS) positioning, the distribution of ground control points, the chosen UAV flight parameters, and the data processing methodology. Further application of this technology has the potential to expand our understanding of reef-island morphodynamics and their vulnerability to sea-level rise and other stressors.
format Article
author Meagan K. Lowe
Farrah Anis Fazliatul Adnan
Sarah M. Hamylton
Rafael C. Carvalho
Colin D. Woodroffe
author_facet Meagan K. Lowe
Farrah Anis Fazliatul Adnan
Sarah M. Hamylton
Rafael C. Carvalho
Colin D. Woodroffe
author_sort Meagan K. Lowe
title Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models
title_short Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models
title_full Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models
title_fullStr Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models
title_full_unstemmed Assessing reef-island shoreline change using UAV-derived orthomosaics and digital surface models
title_sort assessing reef-island shoreline change using uav-derived orthomosaics and digital surface models
publisher MDPI
publishDate 2019
url https://eprints.ums.edu.my/id/eprint/42474/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42474/
http://dx.doi.org/10.3390/drones3020044
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score 13.23648