earticle

영어

The analysis of meteorological factors in forested and non-forested areas reveals significant differences that impact biodiversity, ecosystem functions, and wildfire behavior. This study quantified monthly variations in mean temperature and relative humidity between forested and non-forested areas. Meteorological data were collected from 96 Automatic Synoptic Observing Stations (ASOS) and 341 Automatic Mountain Meteorology Observation Stations (AMOS). The classification of stations was based on MODIS NDVI(Normalized Difference Vegetation Index) stations with an NDVI value of 0.33 or higher were classified as forested, while those below 0.33 were classified as non-forested. Additionally, weather data were collected using weather recording devices (HOBO data loggers) installed in a forested area and a deforested area at Kangwon National University, and the data were compared with existing ASOS and AMOS datasets. The analysis showed that from January to May, average temperatures were higher in forested areas than in non-forested areas, while relative humidity was higher in forested areas from July to September. The data collected using HOBO could not be utilized for analysis for the period between January and April due to partial loss. However, a comparative analysis of the available HOBO data showed that the mean temperature was lower in forested areas compared to non-forested areas in all months, while relative humidity was consistently higher in forested areas throughout the year.