Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI
Abstract < 0.32 g cm- 2). Comparisons with in situ surface reflectance measurements from the RadCalNet network show that SIAC provides accurate estimates of surface reflectance across the entire spectrum, with RMSE mismatches with the reference data between 0.01 and 0.02 in units of reflectance for both S2 and L8. For near-simultaneous S2 and L8 acquisitions, there is a very tight relationship (correlation coefficient over 0.95 for all common bands) between surface reflectance from both sensors, with negligible biases. Uncertainty estimates are assessed through discrepancy analysis and are found to provide viable estimates for AOT and TCWV. For surface reflectance, they give conservative estimates of uncertainty, suggesting that a lower estimate of TOA reflectance uncertainty might be appropriate.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI ; volume:15 ; number:21 ; year:2022 ; pages:7933-7976 ; extent:44
Geoscientific model development ; 15, Heft 21 (2022), 7933-7976 (gesamt 44)
- Urheber
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Yin, Feng
Lewis, Philip E.
Gómez-Dans, Jose L.
- DOI
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10.5194/gmd-15-7933-2022
- URN
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urn:nbn:de:101:1-2022111004275344450541
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:27 MESZ
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Beteiligte
- Yin, Feng
- Lewis, Philip E.
- Gómez-Dans, Jose L.
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