Science target prioritization framework for remote sensing
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Abstract
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.
Suggested Citation
Ravindra, V., Caldwell, D., Chandarana Saephan, M., Duncan, B., Strode, S., Swartz, W., Manies, K.L., Frank, J., Levinson, R., and Turkov, E., 2024, Science target prioritization framework for remote sensing, 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, p. 689-693, https://doi.org/10.1109/IGARSS53475.2024.10642436.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Science target prioritization framework for remote sensing |
| DOI | 10.1109/IGARSS53475.2024.10642436 |
| Year Published | 2024 |
| Language | English |
| Publisher | IEEE |
| Contributing office(s) | Geology, Minerals, Energy, and Geophysics Science Center |
| Description | 5 p. |
| First page | 689 |
| Last page | 693 |
| Conference Title | 2024 IEEE International Geoscience and Remote Sensing Symposium |
| Conference Location | Athens, Greece |
| Conference Date | July 7-12, 2024 |