Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration Reference
Accurate hyperspectral simulations are critical for the vicarious calibration of next-generation space-based sensors and for ensuring the long-term consistency of climate data records. This study presents a refined methodology to generate simulated radiometric calibration references over bright dese...
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MDPI AG
2025-05-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/16/5/583 |
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| author | Marta Luffarelli Nicolas Misk Vincent Leroy Yves Govaerts |
| author_facet | Marta Luffarelli Nicolas Misk Vincent Leroy Yves Govaerts |
| author_sort | Marta Luffarelli |
| collection | DOAJ |
| description | Accurate hyperspectral simulations are critical for the vicarious calibration of next-generation space-based sensors and for ensuring the long-term consistency of climate data records. This study presents a refined methodology to generate simulated radiometric calibration references over bright desert pseudo-invariant calibration sites, specifically designed to meet the stringent accuracy requirements of hyperspectral observations. Building on metrology principles, and in the absence of SI-traceable references, the approach leverages simulated reflectance over stable desert targets as a community-accepted calibration reference. Key advancements include improved surface reflectance modelling using the Rahman–Pinty–Verstraete model and the Combined Inversion of Surface and Aerosol (CISAR) algorithm, enhanced atmospheric property characterization from multiple state-of-the-art datasets, and the use of the Eradiate Monte Carlo-based radiative transfer model. These refinements reduce uncertainty in simulated top-of-atmosphere reflectance, achieving an accuracy within ±3% in high-transmittance spectral regions. Validation against both multispectral and hyperspectral satellite data (i.e., EMIT, EnMAP, and PRISMA) confirms the robustness of the methodology. This work establishes a reliable framework for hyperspectral sensor calibration and intercalibration, addressing the pressing need for traceable, high-fidelity reference data in Earth observation. |
| format | Article |
| id | doaj-art-1c9b2f9a99794ff6a089f4fd4e2da6e8 |
| institution | OA Journals |
| issn | 2073-4433 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-1c9b2f9a99794ff6a089f4fd4e2da6e82025-08-20T01:56:14ZengMDPI AGAtmosphere2073-44332025-05-0116558310.3390/atmos16050583Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration ReferenceMarta Luffarelli0Nicolas Misk1Vincent Leroy2Yves Govaerts3Rayference SRL, 1000 Brussels, BelgiumRayference SRL, 1000 Brussels, BelgiumRayference SRL, 1000 Brussels, BelgiumRayference SRL, 1000 Brussels, BelgiumAccurate hyperspectral simulations are critical for the vicarious calibration of next-generation space-based sensors and for ensuring the long-term consistency of climate data records. This study presents a refined methodology to generate simulated radiometric calibration references over bright desert pseudo-invariant calibration sites, specifically designed to meet the stringent accuracy requirements of hyperspectral observations. Building on metrology principles, and in the absence of SI-traceable references, the approach leverages simulated reflectance over stable desert targets as a community-accepted calibration reference. Key advancements include improved surface reflectance modelling using the Rahman–Pinty–Verstraete model and the Combined Inversion of Surface and Aerosol (CISAR) algorithm, enhanced atmospheric property characterization from multiple state-of-the-art datasets, and the use of the Eradiate Monte Carlo-based radiative transfer model. These refinements reduce uncertainty in simulated top-of-atmosphere reflectance, achieving an accuracy within ±3% in high-transmittance spectral regions. Validation against both multispectral and hyperspectral satellite data (i.e., EMIT, EnMAP, and PRISMA) confirms the robustness of the methodology. This work establishes a reliable framework for hyperspectral sensor calibration and intercalibration, addressing the pressing need for traceable, high-fidelity reference data in Earth observation.https://www.mdpi.com/2073-4433/16/5/583vicarious calibrationhyperspectralradiative transfer modellingbright desertpseudo-invariant calibration site |
| spellingShingle | Marta Luffarelli Nicolas Misk Vincent Leroy Yves Govaerts Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration Reference Atmosphere vicarious calibration hyperspectral radiative transfer modelling bright desert pseudo-invariant calibration site |
| title | Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration Reference |
| title_full | Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration Reference |
| title_fullStr | Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration Reference |
| title_full_unstemmed | Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration Reference |
| title_short | Elaboration of Simulated Hyperspectral Calibration Reference over Pseudo-Invariant Calibration Reference |
| title_sort | elaboration of simulated hyperspectral calibration reference over pseudo invariant calibration reference |
| topic | vicarious calibration hyperspectral radiative transfer modelling bright desert pseudo-invariant calibration site |
| url | https://www.mdpi.com/2073-4433/16/5/583 |
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