A Methodology for CO<sub>2</sub> Retrieval Applied to Hyperspectral PRISMA Data
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 Continu...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/9936eb2744944c9980d5fa75138e9597 |
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| Sumario: | 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. |
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