Study on Estimation of Air Temperature by NOAA-AVHRR Data and Geographic Data.

The purpose of the present study is to evaluate the affect of vegetation, meso-scale meteorological conditions or geographical locations on shelter-height air temperature. Stepwise multiple regression analysis was performed in order to select predictor variables for estimating air temperature using the ground surface temperature and vegetion index derived by NOAA-AVHRR data, geographic parameters, and wind speed. Aground surface temperature averaged by nine pixels, a vegatation index averaged by nine pixele, latitude and longitude were selected as predictor variables for the daytime data. Especially ground surface temperature made an great contribution to the regression equation. Though the air temperature and the vegetation index had negative correlation, standard regression coeffecient of vegetation was positive value. Latitude and longitude were important variables which show warm or cold air advection and the existence of a warm or cold current. Ground surface temperature averaged by nine pixels, latitude, longitude and wind speed were selected as predictor variables for the nighttime data.

estimation

air temperature

NOAA-AVHRR data

vegetation index