Estimation of daily mean temperature by remote sensing in Northeastern China

The temperature is to describe the important parameter of terrestrial environment conditions, but also the most basic meteorological data in one of the observation projects. The authors put forward by the satellite remote sensing data and ground-based observations temperature and forecast the temperature inversion, the average temperature of the new method. Based on the temperature of daily variation curve equation, will any time from remote sensing data temperature as the initial temperature estimate the average daily temperature, applying the above method to estimate the average daily temperature and meteorological observatory temperature value establish regression analysis showed that both fitting degree is higher, R = 0.95 absolute error in 0.56 ~ 1.43 between, liaoning district fitting effect than the northeast region significantly.