Earth observation satellite launched in the last three decades have made vital contributions to the understanding of the planet. The earth system consisting of land, oceans and atmosphere is linked together by a number of complicated processes. Potential of microwave sensors in studying the boundary layer dynamics of the ocean-atmosphere system is well documented. Technology has revolutionized the application of such sensors and several missions are planned to take off in near future for meeting specific objectives. Launching of such sensors need to be followed by an extensive validation campaign for providing accurate and reliable information to the users. A PC-based interactive system has been developed and presented here for validating satellite mounted microwave sensors. The program, coded in Visual Basic, is user interactive and runs on Windows-98 platform. The system prepares the data base on a selected platform according to the global/regional nature of the satellite data. Preset space-time windows are selected to study the nature of satellite-sea truth relationship. The program design a scheme to discard spurious satellite data by keeping the relationship and its significance intact. The best relationship obtained is used to predict the new set of correct satellite data for application purpose. The program has, therefore, several added advantages over the conventional method of validation which involves strenuous efforts to incorporate subroutines to meet every minute requirements. Geophysical data retrieved from the sensor 'Multi-channel Scanning Microwave Radiometer (MSMR) onboard the Indian satellite IRS-P4 (Oceansat I)' has been validated on this system by making use of various sea truth platforms. Drifting buoy SST's appear to be highly correlated (r = 0.75) with the satellite data. Very good correlation (r = 0.80) is obtained for wind speed measured from both Moored buoy and Autonomous Weather Station. Night time SSTs are found to be closer to the satellite values for wind speed less that 10 m/s and day time SSTs are better correlated for wind speed greater than 10 m/s. Wind speed from stationary platforms are better correlated with the satellite values when compared with moving platform like ship. Wind speed measured from ocean platforms (Moored buoy and Ship) during day time appears to be closer to the satellite measurement but the night time wind gives better correlation when measured from the island-based weather station