• Journal of Fisheries and Marine Sciences Education
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• v.25 no.2
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• pp.364-374
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• 2013

When the shorelines were contaminated by oil, oiled shorelines were assessed systematically by SCAT and guideline of cleanup activities and shorelines treatment endpoints based on SCAT were established and operated in case of well developed countries like USA and Canada. However, shorelines cleanup assessment technique are not established clearly in our country. In this study, we studied on the shorelines cleanup assessment technique suitable for Korean shorelines feature. That is, composition of SCAT organization, classification of shorelines and division of oiled shorelines by segment that are elements of SCAT were studied, and we suggest the measures related to above elements suitable for shorelines feature of our country.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.1
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• pp.23-30
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• 2015

A shoreline mapping is essential for describing coastal areas, estimating coastal erosions and managing coastal properties. This study has planned to map the 3D shorelines with the airborne LiDAR(Light Detection and Ranging) data and the KOMPSAT-2 imagery, acquired in Uljin, Korea. Following to the study, the DSM(Digital Surface Model) is generated firstly with the given LiDAR data, while the NDWI(Normalized Difference Water Index) imagery is generated by the given KOMPSAT-2 imagery. The classification method is employed to generate water and land clusters from the NDWI imagery, as the 2D shorelines are selected from the boundaries between the two clusters. Lastly, the 3D shorelines are constructed by adding the elevation information obtained from the DSM into the generated 2D shorelines. As a result, the constructed 3D shorelines have had 0.90m horizontal accuracy and 0.10m vertical accuracy. This statistical results could be concluded in that the generated 3D shorelines shows the relatively high accuracy on classified water and land surfaces, but relatively low accuracies on unclassified water and land surfaces.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.451-456
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• 2006

Shoreline changes its shape and attribution dynamically by natural, unnatural acts and is the most important information for defining a countries territory. These shorelines can apply to frame work of MGIS, and they are getting important because we can implement the data for creating monitoring systems around coastal areas. This study proposed an algorithm for extracting shorelines automatically using a new developed Lidar data which is applied in ocean and coastal areas. Its result was compared to shorelines which were derived from ground survey. It showed stable shorelines in both natural, and artificial coast areas. It showed the possibility of extracting shorelines with LiDAR data and proved the method was more efficient and economical compared to recent studies and methods.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.21 no.5
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• pp.380-390
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• 2009

This study was conducted as a part of investigating pre-reclamation shorelines from aerial photographs to estimate coastal land area at reclaimed lands (Anjeong industrial complex, Myeongji residental complex, and Noksan industrial complex), southeastern coast of Korea. To assess how the shorelines were suitable for the calculation of coastal lands, we constructed shoreline change data. Secondary ground control points were used to accomplish triangulation for old aerial photographs. Two kinds of shorelines were mapped; one was the shoreline based on approximately highest high water level (AHHWL) and the other was the high water line based on wet/dry signiture. These shorelines were consistent at artificial coast. Shoreline change data were built with a variety of levels of error due to detailed differences in the photograph scale, quality of image, type of ground control point and type of shoreline. Thus assessment of the pre-reclamation shorelines at the level of qualitative analysis for the trend of shoreline changes was satisfactory. Most of shoreline changes before reclamation in this study were associated with coastal development. Investigation of shoreline attributes in relation to aerial photographs allowed us to understand the shoreline changes.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.3
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• pp.23-31
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• 2009

The border of the shorelines in a nation is an important factor in determining the border of a national territory, but Korea's shorelines are rapidly changing due to the recent rise in sea level from global warming and growth-centered economic policy over the decades of years. This research was done centering on the areas having well-preserved shorelines as they naturally are and other areas having damaged shorelines in their vicinities due to artificial structures at the two beaches located at the neighboring areas and having mutually homogeneous ocean conditions with each other. First, this research derived the shorelines using the aerial photographies taken from 1947 until 2007 and revised the tidal levels sounding data obtained from a hydrographical survey automation system consisting of Echosounder[Echotrac 3100] and Differential Global Positioning System[Beacon]by using topographical data and ships on land obtained by applying post-processing Kinematic GPS measuring method. In addition, this research evaluated the changes and dimensional variations for the last 60 years by dividing these determined shorelines into 5 sections. As a result, the Haewundae Beach showed a total of 29% decrease rate in dimension as of the year 2007 in comparison with the year 1947 due to a rapid dimensional decline centering on its west areas, while the dimension of the Gwanganri Beach showed an increase in its dimension amounting to a total of 69% due to the decrease in flow velocity by artificial structures built on both ends of the beach-forming accumulation; thus, it was found that there existed a big difference in deposition & accumulation tendency depending on neighboring environment in spite of the homogeneous ocean conditions.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.2
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• pp.209-215
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• 2006

Shoreline changes its shapes and attribution dynamically by natural, unnatural acts and is the most information for country. These shorelines can apply to framework data of MGIS (Marine Geographic Information System), and they are getting important to implement a phase of monitoring around coastal areas. This study proposed an algorithm automatically extracting shorelines to use a new developed LiDAR (Light Detection And Ranging) data which is applying in ocean and coastal areas. Then, in result, it was compared to shorelines which is derived from ground survey. In result, it shows stable shorelines in various coast areas such as nature, artificial coast. Additionally, and a possibility of shoreline extraction through LiDAR data.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.21 no.5
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• pp.371-379
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• 2009

In this paper, we discussed methods and problems for estimating historical shorelines on a reclaimed land. Since many of coastal lands are unregistered in Korea, reclamation of public waters could cause complicated land ownership dispute. Unlike cadastral boundaries, historical shorelines can be represented by those of various locations due to lack of legal definition of shoreline as well as characteristics of shoreline changes, which directly influence on the calculation of coastal and submerged land areas. Through a case study for Anjeong industrial complex, a systematic method of investigating historical shorelines was suggested to resolve the problems. For a rocky coast where shoreline changes are not likely to occur, a shoreline based on tidal datum was retrieved using aerial photographs taken before the construction of reclamation. Compared with ground survey data, the shoreline was accurate, indicating that the digital photogrammetry was reliable.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.15-23
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• 2007

This paper presents a shoreline change analysis on a reclaimed land, using a pair of aerial photographs taken before and after the reclamation. Shorelines that are defined by a tide datum, i.e. Approximately Highest High Water Level, were mapped by both analytical and digital photogrammetric methods. The past shorelines were overlapped with digital cadastral map from which areas of retracted and protruded lands were computed. Magnitude of shoreline changes was estimated by calculating areas between the past and present shorelines. Comparisons in terms of areas showed a fairly good agreement between the two methods. However, particularly in the estuary of complex morphology, shoreline mapping by digital photogrammetric method requires images to be scanned at a resolution higher than 1200 dpi.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.16 no.4
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• pp.258-267
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• 2004

Coastal and harbor structures, which are constructed for the beach protection and coastal zone development, often cause the severe beach erosion problem resulted from changes of longshore sediment transport. In this study, we present a new methodology to estimate the longshore sediment transport rates using the measured data of beach profiles or shorelines. The methods is applied for the prediction of longshore sediment transport rates along Kailua beach, Hawaii and shorelines in the vicinity of Anmok Harbor, Korea.

• Korean Journal of Remote Sensing
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• v.35 no.5_1
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• pp.693-703
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• 2019

Long-term coastal topographical data is critical for analyzing temporal and spatial changes in shorelines. Especially understanding the change trends is essential for future coastal management. For this research, in the data preparation, we obtained digital aerial images, terrestrial laser scanning data and UAV images in the year of 2009. 2018 and 2019 respectively. Also tidal observation data obtained by the Korea Hydrographic and Oceanographic Agency were used for Bangamoeri beach located in Ansan, Gyeonggi-do. In the process of it, we applied the photogrammetric technique to extract the coastline of 4.40 m from the stereo images of 2009 by stereoscopic viewing. In 2018, digital elevation model was generated by using the raw data obtained from the laser scanner and the corresponding shoreline was semi-automatically extracted. In 2019, a digital elevation model was generated from the drone images to extract the coastline. Finally the change rate of shorelines was calculated using Digital Shoreline Analysis System. Also qualitative analysis was presented.