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1 September 2022 Mid- and Short-Term Monitoring of Sea Cliff Erosion based on Structure-from-Motion (SfM) Photogrammetry: Application of Two Differing Camera Systems for 3D Point Cloud Construction
Jae Jin Yu, Dong Woo Kim, Eun Jung Lee, Seung Woo Son
Author Affiliations +
Abstract

Yu, J.J.; Kim, D.W.; Lee, E.J., and Son, S.W., 2022. Mid- and short-term monitoring of sea cliff erosion based on structure-from-motion (SfM) photogrammetry: Application of two differing camera systems for 3D point cloud construction. Journal of Coastal Research, 38(5), 1021–1036. Coconut Creek (Florida), ISSN 0749-0208.

Sea-level rise due to climate change is influencing coastal areas globally, which represent an important food and recreational resource for humanity. Accordingly, coastal monitoring is of vital importance. Recently, coastal erosion monitoring has been performed using various methods related to structure-from-motion (SfM) photogrammetry. In coastal topography, sea cliffs can have high elevations and uneven surfaces, making them challenging to model using SfM photogrammetry when capturing images using a single device from one direction owing to occluded areas during the construction of a three-dimensional point cloud (3D PCD). Therefore, in this study, two types of cameras were used to construct an appropriate 3D PCD of sea cliffs. Sea cliffs were photographed by an unmanned aerial vehicle (UAV) and by terrestrial cameras, and the resulting 3D PCD was constructed using fusion and integration methods during image processing. Sea cliff monitoring was performed separately for mid- (9 mo) and short-term (pre- and posttyphoon) periods, during which geomorphological changes could be monitored using the multiscale model-to-model cloud comparison (M3C2) technique. The proposed method effectively reduced the occluded area while sufficiently detecting geomorphological changes in the sea cliffs.

©Coastal Education and Research Foundation, Inc. 2022
Jae Jin Yu, Dong Woo Kim, Eun Jung Lee, and Seung Woo Son "Mid- and Short-Term Monitoring of Sea Cliff Erosion based on Structure-from-Motion (SfM) Photogrammetry: Application of Two Differing Camera Systems for 3D Point Cloud Construction," Journal of Coastal Research 38(5), 1021-1036, (1 September 2022). https://doi.org/10.2112/JCOASTRES-D-21-00122.1
Received: 10 September 2021; Accepted: 9 February 2022; Published: 1 September 2022
KEYWORDS
DSLR
erosion monitoring
M3C2
sea cliff
SFM
UAV
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