MODIS Data Based Thermal Inertia And Land Surface Temperature Modeling And Their Applications In Determination Of Soil Moisture And Heat Exchange

This paper focuses on the modeling of thermal inertia and land surface temperature using MODIS data and their applications in soil moisture and exergy exchange study. Because the remote sensing thermal inertia model named as SoA-TI requires that the satellite overpass times during day and night should be coincident with the local maximum and minimum temperature, and the overpass times of satellites Terra and Aqua with remote sensor MODIS are not coincident with the local maximum and minimum surface temperature in most places of china, this paper improved the SoA-TI model not to be constrained by the satellite overpass times by second order approximation of Fourier series to the land surface temperature and by Newton numeric method. The given estimated values of variables in Newton method is a crucial problem for the final solutions, the solutions of the first order approximation of the Fourier series to land surface temperature were used to the input initial given values of the Newton numerical method. Surface temperature difference is a very important parameter for the calculation of real thermal inertia value. A new method for determination of land surface temperature has been developed. Based on the split window method, the classification of the ground land cover types, and the given spectral emissivities range in thermal infrared bands for each ground class and the fact that the actual land surface temperatures are the same for all thermal bands of MODIS, the land surface temperature were determined by means of maximum correlation and least square fit. By comparing of our results with the in situ data and...