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Abstract: Towards Adaptive Sensing: Identifying High-Utility Observations from GNSS-R Data with Bayesian Inference (AGU25)

Towards Adaptive Sensing: Identifying High-Utility Observations from GNSS-R Data with Bayesian Inference

Allegra Farrar, Massachusetts Institute of Technology, Aeronautics and Astronautics, Cambridge, MA, United States, Rajeswari Balasubramaniam, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Christopher S Ruf, University of Michigan Ann Arbor, Climate and Space, Ann Arbor, MI, United States, Danielle Wood, Massachusetts Institute of Technology, Department of Media Arts and Sciences; Department of Aeronautics and Astronautics, Cambridge, MA, United States and Andrew Kruczkiewicz, Columbia University of New York, Center for Sustainable Urban Development, New York, United States
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