

Yan, H, Zhang, JH, Hou, YY, He, YB (2009). Estimation of air temperature from MODIS data in east China. INTERNATIONAL JOURNAL OF REMOTE SENSING, 30(23), 62616275. Abstract Air temperature, Ta, with high spatial and temporal resolution is desired for global change, agricultural disaster, land surface studies, and modelling applications. A statistical algorithm for Moderate Resolution Imaging Spectroradiometer (MODIS) data is developed for daytime Ta retrievals over east China at a resolution of 0.05 degrees x 0.05 degrees. The approach first applies a statistical regression of the first guess, i.e. the preliminary estimate, of Ta to MODIS 11 mu m and 12 mu m brightness temperature (T11 mu m and T12 mu m) and site data (longitude, latitude and altitude) for east China. Then the first guess of Ta is further corrected with a series of bias equations for different latitude zones in east China. Further quantitative validation with measured Ta using 335 synoptic weather stations for the whole of 2006 indicates that the algorithm performs well with overall statistics of R = 0.96, RMSE = 3.23 degrees C, and bias = 0.09 degrees C. 75% of the estimated Ta is within 3 degrees C of the actual Ta and 92% of the estimated Ta is within 5 degrees C of the actual Ta. This bias correction algorithm can be applied to other geostationary and sunsynchronous satellite instruments for Ta retrieval. DOI: 10.1080/01431160902842375 ISSN: 01431161 