A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

The aim of this work is to develop and test a simple methodology for CO2 emission retrieval applied to hyperspectral PRISMA data. Model simulations are used to infer the best SWIR channels for CO2 retrieval purposes, the weight coefficients for a Continu...

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Autores principales:	Vito Romaniello, Claudia Spinetti, Malvina Silvestri, Maria Fabrizia Buongiorno
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	carbon dioxide PRISMA mission SWIR spectral region Science Q
Acceso en línea:	https://doaj.org/article/9936eb2744944c9980d5fa75138e9597
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spelling	oai:doaj.org-article:9936eb2744944c9980d5fa75138e95972021-11-25T18:53:43ZA Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data10.3390/rs132245022072-4292https://doaj.org/article/9936eb2744944c9980d5fa75138e95972021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4502https://doaj.org/toc/2072-4292The aim of this work is to develop and test a simple methodology for CO<sub>2</sub> emission retrieval applied to hyperspectral PRISMA data. Model simulations are used to infer the best SWIR channels for CO<sub>2</sub> retrieval purposes, the weight coefficients for a Continuum Interpolated Band Ratio (CIBR) index calculation, and the factor for converting the CIBR values to XCO<sub>2</sub> (ppm) estimations above the background. This method has been applied to two test cases relating to the LUSI volcanic area (Indonesia) and the Solfatara area in the caldera of Campi Flegrei (Italy). The results show the capability of the method to detect and estimate CO<sub>2</sub> emissions at a local spatial scale and the potential of PRISMA acquisitions for gas retrieval. The limits of the method are also evaluated and discussed, indicating a satisfactory application for medium/strong emissions and over soils with a reflectance greater than 0.1.Vito RomanielloClaudia SpinettiMalvina SilvestriMaria Fabrizia BuongiornoMDPI AGarticlecarbon dioxidePRISMA missionSWIR spectral regionScienceQENRemote Sensing, Vol 13, Iss 4502, p 4502 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	carbon dioxide PRISMA mission SWIR spectral region Science Q
spellingShingle	carbon dioxide PRISMA mission SWIR spectral region Science Q Vito Romaniello Claudia Spinetti Malvina Silvestri Maria Fabrizia Buongiorno A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data
description	The aim of this work is to develop and test a simple methodology for CO<sub>2</sub> emission retrieval applied to hyperspectral PRISMA data. Model simulations are used to infer the best SWIR channels for CO<sub>2</sub> retrieval purposes, the weight coefficients for a Continuum Interpolated Band Ratio (CIBR) index calculation, and the factor for converting the CIBR values to XCO<sub>2</sub> (ppm) estimations above the background. This method has been applied to two test cases relating to the LUSI volcanic area (Indonesia) and the Solfatara area in the caldera of Campi Flegrei (Italy). The results show the capability of the method to detect and estimate CO<sub>2</sub> emissions at a local spatial scale and the potential of PRISMA acquisitions for gas retrieval. The limits of the method are also evaluated and discussed, indicating a satisfactory application for medium/strong emissions and over soils with a reflectance greater than 0.1.
format	article
author	Vito Romaniello Claudia Spinetti Malvina Silvestri Maria Fabrizia Buongiorno
author_facet	Vito Romaniello Claudia Spinetti Malvina Silvestri Maria Fabrizia Buongiorno
author_sort	Vito Romaniello
title	A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data
title_short	A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data
title_full	A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data
title_fullStr	A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data
title_full_unstemmed	A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data
title_sort	methodology for co<sub>2</sub> retrieval applied to hyperspectral prisma data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9936eb2744944c9980d5fa75138e9597
work_keys_str_mv	AT vitoromaniello amethodologyforcosub2subretrievalappliedtohyperspectralprismadata AT claudiaspinetti amethodologyforcosub2subretrievalappliedtohyperspectralprismadata AT malvinasilvestri amethodologyforcosub2subretrievalappliedtohyperspectralprismadata AT mariafabriziabuongiorno amethodologyforcosub2subretrievalappliedtohyperspectralprismadata AT vitoromaniello methodologyforcosub2subretrievalappliedtohyperspectralprismadata AT claudiaspinetti methodologyforcosub2subretrievalappliedtohyperspectralprismadata AT malvinasilvestri methodologyforcosub2subretrievalappliedtohyperspectralprismadata AT mariafabriziabuongiorno methodologyforcosub2subretrievalappliedtohyperspectralprismadata
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A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data

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