Abstract: Remote sensing data assimilation techniques process quantitative parameters（physical, chemical parameters from dynamic model） and observation parameters with data assimilation algorithms in the framework of the dynamic model, get parameters analysis results. Assimilating multi-source remote sensing data into dynamic model estimating and forecasting can help to improve the prediction of analysis and accuracy. This paper?developes an airborne remote sensing?data?assimilation?system for China?airborne remote sensing?system. Since no obtainable algorithms（3DVAR and EnKF） procedures fit to this system, self-development of the core algorithms program is necessary.?This paper describes the key technical processes of the development of airborne remote sensing data assimilation algorithms integrated computing and visualization system and its core algorithms.?Experimental results show that the system is effective for airborne remote sensing data assimilation.