Sentinel-2를 이용한 한반도 식생지수 변이의 추세 분석 및 가시화 색상체계 정의 = Trend Analysis of Vegetation Index Anomaly in the Korean Peninsula Using Sentinel-2 and Definition of a Visualization Color Scheme

다국어 초록 (Multilingual Abstract)

This study aims to analyze the vegetation index anomaly in the Korean Peninsula using Sentinel-2 satellite data from 2017 to 2023 and to define a visualization color scheme for vegetation index anomaly products of the CAS500-4. The study compared the impact of climate factors and local changes on vegetation index anomalies for 2022 and 2023, across different countries and land cover types. It was shown that the spring drought and abnormal temperatures of 2022 significantly impacted vegetation conditions. Additionally, the vegetation index anomaly data were statistically analyzed, and 11 color intervals were divided using the Jenks Natural Breaks method. This visualization color scheme reflects vegetation index anomaly change by climatic influences, disasters, or human activities on the Korean Peninsula. The visualization color scheme proposed in this study can serve as a reference for a future product of CAS500-4.