Coastal Erosion Management Using Coast View Service-Based Augmented Reality

Kim, I.; Kim., M, and Lee, H., 2024. Coastal erosion management using coast view service-based augmented reality. In: Phillips, M.R.; Al-Naemi, S., and Duarte, C.M. (eds.), Coastlines under Global Change: Proceedings from the International Coastal Symposium (ICS) 2024 (Doha, Qatar). Journal of Coastal Research, Special Issue No. 113, pp. 579-583. Charlotte (North Carolina), ISSN 0749-0208. To analyze coastal erosion dynamics effectively, we systematically recorded images and videos to facilitate comparative studies with historical data from similar sites. Despite domestic and international portal sites offering panoramic virtual tours for temporal tracking, they lack the data to investigate coastal erosion processes. This highlights the need for a continuous spatial archiving strategy to secure and preserve onsite video data for detailed assessments of coastal erosion and associated structural damage. This study develops a coastal view service with augmented reality, integrating bird's eye view panoramas captured via unmanned aerial vehicle (UAV) and 360° cameras. We aim to commercialize technology that extracts three-dimensional spatial information specific to coastal erosion dynamics. Unlike existing augmented reality systems, we have independently developed the “Twintogether″ service platform, facilitating quantitative analysis of spatial information. This service enables visual assessments of structural conditions and beach topography by categorizing and storing facility data, including location and damage extent. The coastal view service facilitates time-series comparisons of current and historical erosion, serving as a practical tool for decision-making. By collecting periodic images and predicting significant events like typhoons and high waves, we can more accurately detect changes in erosion patterns. Furthermore, this service advances coastal erosion management by specializing in erosion history investigation methods, which help determine the status of coastal structures and the extent of damage.