Land surface temperature (LST) is a key parameter of surface physical process and plays an important significance to the energy balance in the world. In this paper, based on the knowledge of atmospheric radiative transfer and the comparability of two satellites, 7 undetermined variables was solved. Then, eliminate the atmospheric effects on the remote sensing images by atmospheric correction model. The retrieval of atmospheric elements and the surface parameters, will also be presented. It’s a effective way to measure the LST. Following the disposal information and plentiful data increasing, the powerful computing resource was required. The computing capability in single computer fall short of demand. So the grid computing conception is introduced. We build a LST measurement system by grid service, it can solve the problem commendably.