Toward comprehensive uncertainty predictions for remote imaging spectroscopy

David R. Thompson; Philip G. Brodrick; Niklas Bohn; Amy Braverman; Nimrod Carmon; David Connelly; Jay Fahlen; Robert O. Green; Robert L. Herman; Jonathan Hobbs; Margaret Johnson; Natalie Mahowald; Gregory S. Okin; Benjamin Poulter; Shawn Serbin; Alexey N. Shiklomanov; Jouni Susiluoto; Michael Turmon

doi:10.1117/12.2567732

13 May 2021 Toward comprehensive uncertainty predictions for remote imaging spectroscopy

David R. Thompson, Philip G. Brodrick, Niklas Bohn, Amy Braverman, Nimrod Carmon, David Connelly, Jay Fahlen, Robert O. Green, Robert L. Herman, Jonathan Hobbs, Margaret Johnson, Natalie Mahowald, Gregory S. Okin, Benjamin Poulter, Shawn Serbin, Alexey N. Shiklomanov, Jouni Susiluoto, Michael Turmon

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Proceedings Volume 11504, Imaging Spectrometry XXIV: Applications, Sensors, and Processing; 115040B (2021) https://doi.org/10.1117/12.2567732
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

Remote imaging spectroscopy's role in Earth science will grow in the coming decade as a series of globe-spanning spectroscopy missions launch from NASA, ESA, and other agencies. The nature of remote imaging spectroscopy will change, advancing from short regional studies to address global multi-year questions. The diversity of data will also grow with exposure to a wider range of biomes and atmospheric conditions. To execute these new investigations we must reconcile diverse observing conditions to derive consistent global maps. To this end, rigorous uncertainty quantification and propagation enables an optimal synthesis of data accounting for observing conditions and data quality. Understanding data uncertainties is also important for principled hypothesis testing, information content assessment, and informed decision making by end users. We survey prior efforts in uncertainty quantification for imaging spectroscopy, and describe methods for validating the accuracy of uncertainty predictions. We conclude with a discussion of remaining challenges and promising avenues for future research.

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David R. Thompson, Philip G. Brodrick, Niklas Bohn, Amy Braverman, Nimrod Carmon, David Connelly, Jay Fahlen, Robert O. Green, Robert L. Herman, Jonathan Hobbs, Margaret Johnson, Natalie Mahowald, Gregory S. Okin, Benjamin Poulter, Shawn Serbin, Alexey N. Shiklomanov, Jouni Susiluoto, and Michael Turmon "Toward comprehensive uncertainty predictions for remote imaging spectroscopy", Proc. SPIE 11504, Imaging Spectrometry XXIV: Applications, Sensors, and Processing, 115040B (13 May 2021); https://doi.org/10.1117/12.2567732

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KEYWORDS

Reflectivity

Imaging spectroscopy

Atmospheric modeling

Atmospheric propagation

Spectroscopy

Calibration

Error analysis

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