Determination of emissivity profiles using a Bayesian data-driven approach
Gespeichert in:
| Titel: | Determination of emissivity profiles using a Bayesian data-driven approach |
|---|---|
| Autoren: | Luca Sgheri, Cristina Sgattoni, Chiara Zugarini |
| Quelle: | Mathematics and Computers in Simulation. 229:512-524 |
| Publication Status: | Preprint |
| Verlagsinformationen: | Elsevier BV, 2025. |
| Publikationsjahr: | 2025 |
| Schlagwörter: | FOS: Computer and information sciences, FORUM, Far infrared, Emissivity retrieval, CAMEL database, 0207 environmental engineering, Surface spectral emissivity, Far-infrared (FIR) radiation, Atmospheric modeling, Remote sensing, Radiative transfer models, Climate monitoring, Infrared spectroscopy, Emissivity retrieval algorithms, Earth observation missions, Spectral analysis, Optimal Estimation, FORUM, Far Infrared, Emissivity retrieval, CAMEL database, Applications (stat.AP), 02 engineering and technology, 15. Life on land, Statistics - Applications, 01 natural sciences, 0105 earth and related environmental sciences |
| Beschreibung: | 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 a land cover map. 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. |
| Publikationsart: | Article |
| Dateibeschreibung: | application/pdf |
| Sprache: | English |
| ISSN: | 0378-4754 |
| DOI: | 10.1016/j.matcom.2024.10.015 |
| DOI: | 10.48550/arxiv.2407.07113 |
| Zugangs-URL: | http://arxiv.org/abs/2407.07113 https://www.sciencedirect.com/science/article/abs/pii/S0378475424004051 https://hdl.handle.net/20.500.14243/520602 https://doi.org/10.1016/j.matcom.2024.10.015 |
| Rights: | Elsevier TDM arXiv Non-Exclusive Distribution CC BY NC ND |
| Dokumentencode: | edsair.doi.dedup.....daef90bc3a3c96e30f66bd20a5aa3cfa |
| Datenbank: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | 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 a land cover map. 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. |
|---|---|
| ISSN: | 03784754 |
| DOI: | 10.1016/j.matcom.2024.10.015 |