WE PROPOSE A TWO-YEAR INVESTIGATION TO DEMONSTRATE HIGHER-LEVEL ONBOARD SCIENCE DATA PROCESSING FOR MORE INTELLIGENT SMALLSATS AND CUBESATS TO ENABLE FUTURE EARTH SCIENCE MISSIONS AND EARTH OBSERVING CONSTELLATIONS. LOW-COST SMALLSAT ARCHITECTURES WITH LIMITED NUMBERS OF GROUND STATIONS GENERALLY SUFFER FROM DOWNLINK BOTTLENECKS THAT PRESENT IMPEDIMENTS TO DELIVERING LARGE VOLUMES OF DATA TO SCIENCE ALGORITHMS IMPLEMENTED ON THE GROUND AND GENERATING TIMELY SCIENCE OR OPERATIONAL PRODUCTS. WHEN DATA COMPRESSION AND PLAYBACK CANNOT PROVIDE A COMPLETE SOLUTION DATA ACQUISITIONS PER ORBIT MUST BE SACRIFICED. THIS IS HIGHLY UNDESIRABLE FOR WEATHER AND CLIMATE OBJECTIVES THAT REQUIRE GLOBAL-SCALE OBSERVATIONS. OUR APPROACH TO RESOLVING THIS BOTTLENECK IS TO DISAGGREGATE SCIENCE DATA PROCESSING AND EMBED SCIENCE ALGORITHMS ONBOARD.