In order to improve inversion accuracy for soil moisture and enhance the research on quantitative soil moisture

a method combining finite element with Genetic Algorithms is proposed. Affected by precipita-tion

irrigation

wind speed

and so on

there exist complex material and energy exchanges on the interface of atmosphere and soil

which lead to very complex boundary conditions of coupled moisture and heat flow equation. Then

Genetic Algorithms are applied to calculating the boundary conditions of the equation. Sur-face initial condition of the equation is obtained by remote sensing technique. Finally

the finite element method is applied to solving the equation. Thus

monitoring of soil moisture is fulfilled. The tested results show that the method is feasible and satisfactory by comparing with observed data of soil temperature and soil moisture.