Accounting for sub-pixel variability of clouds and/or unresolved spectral variability, as needed, with generalized radiative transfer theory

Davis, Anthony B., Xu, Feng and Collins, William D. ORCID: https://orcid.org/0000-0002-4463-9848 (2015) Accounting for sub-pixel variability of clouds and/or unresolved spectral variability, as needed, with generalized radiative transfer theory. In: Hyperspectral Imaging and Sounding of the Environment, HISE 2015. Hyperspectral Imaging and Sounding of the Environment, HISE 2015 . OSA - The Optical Society, USA. ISBN 9781557528148

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Abstract

Atmospheric hyperspectral VNIR sensing struggles with sub-pixel variability of clouds and/or limited spectral resolution mixing molecular lines. Our generalized radiative transfer model addresses both issues with new propagation kernels characterized by power-law decay in space.

Item Type: Book Section
Additional Information: Publisher Copyright: © OSA 2015.
Uncontrolled Keywords: atomic and molecular physics, and optics,instrumentation,spectroscopy ,/dk/atira/pure/subjectarea/asjc/3100/3107
Faculty \ School: Faculty of Science > School of Environmental Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 06 Jul 2026 14:22
Last Modified: 08 Jul 2026 14:33
URI: https://ueaeprints.uea.ac.uk/id/eprint/103642
DOI: 10.1364/hise.2015.ht4b.3

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