MODIS is an EOS facility instrument designed to measure biological and physical processes on a global basis every 1-to-2days. The enhanced knowledge of global dynamics and processes occurring on the surface of earth and in the lower atmosphere can be derived. In this paper

an atmospheric temperature profile is retrieved from MODIS atmospheric temperature sounding bands using genetic algorithms

and then the water vapor profile is derived from MODIS water vapor sounding bands. Once the atmospheric temperature profile and water vapor profile are obtained

the atmospheric radiation could be corrected. The method of emissivity bounds is employed to restrict the range of emissivity of each band. The emissivity limits of final band can be used by genetic algorithm to synchronously retrieve land surface temperature and band emissivities. Simulation experiments show that relatively accurate atmospheric profile and land surface parameters

which play important roles in global warming effect and global change research

can be obtained from MODIS data using genetic algorithms.