Determination of emissivity profiles using a Bayesian data-driven approach

Luca Sgheri, Cristina Sgattoni and Chiara Zugarini

Mathematics and Computers in Simulation (MATCOM), 2025, vol. 229, issue C, 512-524

Abstract: In this paper, we explore the determination of a spectral emissivity profile that closely matches real data, intended for use as an initial guess and/or a priori information in a retrieval code. Our approach employs a Bayesian method that integrates the CAMEL (Combined ASTER MODIS Emissivity over Land) emissivity database with the MODIS/Terra＋Aqua Yearly Land Cover Type database. The solution is derived as a convex combination of high-resolution Huang profiles using the Bayesian framework. We test our method on IASI (Infrared Atmospheric Sounding Interferometer) data and find that it outperforms the linear spline interpolation of the CAMEL data and the Huang emissivity database itself.

Keywords: FORUM; Far infrared; Emissivity retrieval; CAMEL database (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:229:y:2025:i:c:p:512-524

DOI: 10.1016/j.matcom.2024.10.015

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