시계열 조화모델 기반의 자연성상록경관지수(NELI) 도출 - 5년간의 MODIS 위성영상의 EVI자료 활용 - = Extraction of Naturalness Evergreen Landscape Index(NELI) based on Time Series Harmonization Model - Using The 5 Years MODIS Satellite EVI Image -

다국어 초록 (Multilingual Abstract)

In spatial planning, landscape evaluation is the relationship between people and the environment itself, so it has the difficulty of being ambiguous and subjective. However, landscape evaluation is a useful indicator for evaluating the quality of the environment in a region, which covers a variety of environmental variables. Therefore, it is necessary to derive indicators for evaluating and utilizing landscape quality. This study was conducted as part of a research project to find the optimal technique for evaluating and utilizing landscape quality, and to develop an evaluation system. The purpose of this study is to suggest a method for utilizing a quantitative indicator for evaluating naturalness using a vegetation index (VI) to quantify the naturalness of the landscape in a variety of landscape quality fields. Vegetation indices are widely used as data for evaluating the vitality of greenery and the naturalness of the landscape. The vegetation indices used for landscape naturalness assessment are derived and utilized by analyzing satellite images. In Korea, due to factors such as frequent cloud formation and rainy season, it is difficult to acquire time-series images. Therefore, most studies have used vegetation indices for a single period in spring or autumn. However, using a single-period vegetation index as an indicator of the naturalness of the landscape that is perceived in daily life has limitations in representing the actual quality of the landscape that is perceived continuously in daily life. In order to solve these problems, this study analyzed the trend of vegetation change over 5 years using MODIS satellite EVI (Enhanced Vegetation Index) data and Google Earth Engine. Based on the time-series harmonic model regression equation, which is calculated on a cell-by-cell basis with the time-series EVI value as the dependent variable, the coefficient derived from the regression equation was used to reduce the error of single-period image analysis and to reflect the evergreenness of vegetation. The Natural Evergreen Landscape Index (NELI) was derived to represent the evergreenness of the landscape naturalness among the landscape naturalness, and the values of the landscape naturalness were visualized. The characteristics of the time-series harmonic model-based vegetation index change and NELI were confirmed by comparing the measured values and regression equations at the basis points. NELI can be utilized as an indicator for evaluating the quality of the environment in spatial planning through the numericalization of the landscape natural evergreenness that is not limited to one period.