Remote sensing based soil moisture estimation on high performance PC server

Soil moisture is an important variable for understanding hydrology and climate. Its distribution is of great importance in the hydrological cycle due to its high spatial and temporal variability The massive data generated by satellite has rapidly created new processing challenges, especially, the tremendous increase in the amount of computational power required by modern remote sensing applications. With the scale of computing power increases, high performance PC server has become a popular computing infrastructure in enterprises, institution and laboratory because of its lower cost and high management ability. In this paper, a model of soil moisture estimation is proposed and is implemented on a PC server. The soil moisture can be got when the different contribution of the soil, vegetation and the water which account for their reflectance ratio respectively. In this paper, we extract soil moisture information in sparsely to moderately vegetated surfaces with TM images. The computation results show that the error between the real observation results and the computation results is acceptable.