Title :
Estimation of daily mean temperature by remote sensing in Northeastern China
Author :
Wu, Jinwen ; Zhang, Yushu ; Feng, Rui ; Ji, Ruipeng ; Sun, Longyu ; Zhang, Shujie
Author_Institution :
Inst. of Atmos. Environ., CMA, Shenyang, China
Abstract :
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.
Keywords :
atmospheric temperature; data analysis; regression analysis; remote sensing; weather forecasting; Northeastern China; daily mean temperature estimation; daily variation curve equation; ground-based observations; liaoning district fitting effect; meteorological data; northeast region; regression analysis; satellite remote sensing data; terrestrial environment condition; Estimation; Land surface; Land surface temperature; MODIS; Remote sensing; Temperature distribution; Temperature sensors; daily variation; remote sensing; temperatures;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964731
