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Activity Number: 18 - Uncertainty Quantification Across the Boundaries
Type: Topic-Contributed
Date/Time: Sunday, August 8, 2021 : 1:30 PM to 3:20 PM
Sponsor: Uncertainty Quantification in Complex Systems Interest Group
Abstract #317644
Title: Uncertainty Quantification in Space-Based Remote Sensing: The Good, the Bad, and the Ugly
Author(s): Amy Braverman*
Companies: Jet Propulsion Laboratory, California Institute of Technology
Keywords: Uncertainty; Remote sensing; Bayes’ Rule; Decision making

Remote sensing instruments in Earth orbit collect electromagnetic spectra aggregated over spatial pixels associated with ground footprints or atmospheric columns. The signatures of these spectra carry information about the physical properties of the surface and atmosphere. Data processing algorithms called “retrievals” infer physical state vectors from spectra, and sometimes also report uncertainties. In this talk I will review how uncertainties are calculated for several ongoing and future NASA instruments, discuss their strengths and weaknesses, and indicate where statistical thinking can improve the characterization.

Authors who are presenting talks have a * after their name.

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