In South Korea, Particulate matter (PM) has become one of the major threats to public health and safety across the country. Urban forests have been considered as a possible contributor to mitigate the air pollutants in urban areas. However, there is lack of research on investigating the role of urban forests on mitigating PM. This study investigated on the relationship between urban forests and PM concentrations in Seoul, South Korea, by using urban forest data, PM measurements, satellite imagery, and meteorological data. The correlation between the size of urban forests and PM measurements within three concentric buffers of 1 km, 500 m, and 300 m in radius were analyzed. Overall PM10 and PM2.5 concentrations varied significantly with different seasons during the 2-year study period. Overall PM10 and PM2.5 concentrations tended to be reduced as the urban forest size increased. This tendency became less noticeable as smaller urban forest patches were predominant over larger patches in the buffers. Season-specific models were developed by using 30m-resolution satellite imageries of Landsat 8 and meteorological parameters for estimating PM concentrations. No noticeable correlations were found between the modeled PM concentrations and the Urban forest size showing the ualves of Pearson’s coefficient r of 0.08 to 0.23 for PM10 and -0.16 to 0.04 for PM2.5. In this study, the variations in PM measurements with the presence of high urban forests within buffers were investigated. Overall PM10 and PM2.5 concentrations were lower along the domains encompassing higher urban forests in elevation.

최근 기후에 대한 관심이 증가하면서 전국단위 뿐만 아니라 지역 단위에서도 기후 지도가 필요하게 되었다. 본 연구에서는 기상청에서 제공하고 있는 무인자동 기상관측장비(AWS) 자료와 LANDSAT 8호 열적외선 영상을 이용하여 지상 기온 분포도를 제작하는 과정을 제시하였다. 지상 기온 분포도 제작을 위하여 기존에 사용되었던 AWS 자료의 공간 보간 기법, 열적외선 영상으로 부터 지표 온도 추출 기법, AWS 자료와 위성영상을 이용한 지상 기온 추출 기법을 비교하고, 지상 기온 분포도에 적합한 지도 제작 기법을 파악하였다. 본 연구의 결과 지상 기온 분포도 제작을 위해 AWS 자료와 위성영상을 이용한 지상 기온 추출 기법이 가장 적합한 것으로 나타났다. 본 연구에서 제시한 과정을 통하여 다양한 지역단위의 기후 지도를 제작할 수 있을 것으로 예상된다.