PROGRESS IN GEOGRAPHY ›› 2011, Vol. 30 ›› Issue (9): 1143-1151.doi: 10.11820/dlkxjz.2011.09.009

• Original Articles • Previous Articles     Next Articles

Comparation of the Temperature Spatial Interpolation Methods Based on MODIS Data and Meteorological Observation Data

ZHOU Tingting1,2, CHENWenhui1   

  1. 1. Institute of Geography, Fujian Normal University, Fuzhou 350007, China;
    2. Geomatics Center of Fujian Province, Fuzhou 350003, China
  • Received:2010-01-01 Revised:2011-01-01 Online:2011-09-25 Published:2011-09-25

Abstract: This study makes use of MODIS image data and the daily average temperature data from the 32 meteorological stations to reckon the surface temperature in Fuzhou, and by combining terrain factors extracted from the digital elevation model DEM to explore and study the correlations among the temperature, longitude, latitude, altitude and other factors, and establishes a model to interpolate the surface temperature in Fuzhou. Using meteorological data to interpolate surface temperature is faster, but the calculation is slightly higher than the actual value. Using image data to reckon land surface temperature is affected by the accuracy of parameters. When using correct parameters, the calculation of land surface temperature from the images has higher accuracy than the interpolation by the measured meteorological data. The parameters limit the accuracy of land surface temperature estimation, and the future research should focus on selection of parameters. Based on the topographic effects on temperature, we build a correlation model between topographical factors and temperature, and the accuracy is relatively high. In the future research, we will try to bring other factors such as the terrain, slope, aspect and slope position into the model to improve the accuracy.

Key words: DEM, Fuzhou, MODIS, spatial interpolation, surface temperature, temperature data