Statistical Analysis and Spatial Pattern of Shoreline Change of East Sea Coast of Korea (Sokcho ？ Samcheok Coast)

Abstract

The coastline is defined as the boundary between land a water surface. It is the most dynamic part of seascape since its shape is affected by different factors, such as hydrography, geology, climate and vegetation. All these factors contribute to change the coastline shape in a dynamic equilibrium. In addition to natural phenomena, anthropic activities have a crucial role in modifying such an equilibrium. Therefore, a continuous update of coastal maps is needed to understand the driving factors and to provide relevant information for coastal resource management and environment protection and for planning sustainable development of coastal areas. In recent years, satellite remote sensing data has been used in automatic or semiautomatic coastline identification. In particular, much work exploited Landsat TM and ETM+ data by applying different analysis techniques. A simple density slicing method by applied to SWIR band, a single band or multiband from several multispectral satellite imageries were applied to extracted the shoreline information. Supervised and unsupervised classification, evaluated a multi temporal PCA (Principal Component Analysis) on Landsat MSS, TM or ETM+ also were done to evaluate coastal change. This study was tried to use a combination method called Water Index (WI) based on the logical thinking of Tasseled Cap Wetness (TCW) and Normalized Difference Water Index (NDWI) to produced the high accurate of shoreline. Statistical analysis and spatial pattern of change were applied to extract more information about the shoreline change itself on the area of interest. This study tried to provide the information of shoreline change, the statistical analysis and spatial pattern recognized on the change and so it will be useful for the stakeholder or government to integrate the information with the coastal management planning at the area of interest.