Trend Analysis of Vegetation Index Anomaly in the Korean Peninsula Using Sentinel-2 and Definition of a Visualization Color Scheme
Year: 2024
Type: article
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.
Source: 대한원격탐사학회지
Authors: Junho Ser, Jung-Il Shin
Institution: The Seoul Institute
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
Funder: Rural Development Administration
Award: G3437772091
OpenAlex ID: W4404029270