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Coastline Change Detection Using CORONA Imagery  

Kim Gi Hong (강릉대학교 토목공학과)
Choi Seung Pil (관동대학교 토목교통공학부)
Yook Woon Soo (관동대학교 토목교통공학부)
Song Yeong Sun (연세대학교 사회환경시스템공학부)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.23, no.4, 2005 , pp. 419-426 More about this Journal
Abstract
Recently the interest in coast area has been increased in the view of management and usage of national territory. Rapid coastal development has caused directly or indirectly coastline changes which may make environmental problems or threaten the nearby residents' livelihood. CORONA was one of the US satellite reconnaissance programs, and it's imagery provides informations about past coastline with high resolution. In this study, we applied rigorous geo-referencing algorithm to CORONA imagery in order to generate the mosaic image of the East coast area of 1969 with 20m accuracy. This old era CORONA mosaic image was compared with SPOT image of 2005, and the coastline changes were analyzed. We were able to ascertain considerable erosion and accumulation in some parts of study area. erosion area which is calculated from imagery is $0.32\;km^2$ from Kosung to Kangnung. Results of coastline change detection can provide useful information for related studies.
Keywords
coastline; satellite Imagery; geo-referencing; CORONA;
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