Douglas Caldwell Meghan Chandarana Saephan Bryan Duncan Sarah A. Strode William Swartz Kristen L. Manies Jeremy Frank Richard Levinson Eugene Turkov Vinay Ravindra 2024 <p><span>Behind the scenes of a remote sensing mission there are complex decision making and planning operations. Streamlining these operations, with a quantitative scientific value framework, aids efficient and optimized science data collection. While there have been previous efforts to quantify the science value for specific science scenarios, our work aims to develop a general framework which can be applied across different scenarios. We describe a pipeline of processes which combines model forecast and observation data, in computational forms, as dictated by the mission objectives set forth by subject matter experts. The framework is described with use cases involving the monitoring of nitrogen dioxide (NO2) concentrations over the Gulf of Mexico and methane concentrations over interior Alaska.</span></p> application/pdf 10.1109/IGARSS53475.2024.10642436 en IEEE Science target prioritization framework for remote sensing text