دورية أكاديمية
Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI
| العنوان: | Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI |
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| المؤلفون: | Yin, Feng, Lewis, Philip E., Gómez-Dans, Jose L. |
| بيانات النشر: | Copernicus Publications |
| سنة النشر: | 2022 |
| المجموعة: | Niedersächsisches Online-Archiv NOA (Gottfried Wilhelm Leibniz Bibliothek Hannover) |
| مصطلحات موضوعية: | article, Verlagsveröffentlichung |
| الوصف: | Mitigating the impact of atmospheric effects on optical remote sensing data is critical for monitoring intrinsic land processes and developing Analysis Ready Data (ARD). This work develops an approach to this for the NERC NCEO medium resolution ARD Landsat 8 (L8) and Sentinel 2 (S2) products, called Sensor Invariant Atmospheric Correction (SIAC). The contribution of the work is to phrase and solve that problem within a probabilistic (Bayesian) framework for medium resolution multispectral sensors S2/MSI and L8/OLI and to provide per-pixel uncertainty estimates traceable from assumed top-of-atmosphere (TOA) measurement uncertainty, making progress towards an important aspect of CEOS ARD target requirements. A set of observational and a priori constraints are developed in SIAC to constrain an estimate of coarse resolution (500 m) aerosol optical thickness (AOT) and total column water vapour (TCWV), along with associated uncertainty. This is then used to estimate the medium resolution (10–60 m) surface reflectance and uncertainty, given an assumed uncertainty of 5 % in TOA reflectance. The coarse resolution a priori constraints used are the MODIS MCD43 BRDF/Albedo product, giving a constraint on 500 m surface reflectance, and the Copernicus Atmosphere Monitoring Service (CAMS) operational forecasts of AOT and TCWV, providing estimates of atmospheric state at core 40 km spatial resolution, with an associated 500 m resolution spatial correlation model. The mapping in spatial scale between medium resolution observations and the coarser resolution constraints is achieved using a calibrated effective point spread function for MCD43. Efficient approximations (emulators) to the outputs of the 6S atmospheric radiative transfer code are used to estimate the state parameters in the atmospheric correction stage. SIAC is demonstrated for a set of global S2 and L8 images covering AERONET and RadCalNet sites. AOT retrievals show a very high correlation to AERONET estimates (correlation coefficient around 0.86, RMSE of 0.07 for ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | electronic |
| اللغة: | English |
| العلاقة: | Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725Test -- http://www.geosci-model-dev.netTest/ -- 1991-9603; https://doi.org/10.5194/gmd-15-7933-2022Test; https://noa.gwlb.de/receive/cop_mods_00063346Test; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062416/gmd-15-7933-2022.pdfTest; https://gmd.copernicus.org/articles/15/7933/2022/gmd-15-7933-2022.pdfTest |
| DOI: | 10.5194/gmd-15-7933-2022 |
| الإتاحة: | https://doi.org/10.5194/gmd-15-7933-2022Test https://noa.gwlb.de/receive/cop_mods_00063346Test https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00062416/gmd-15-7933-2022.pdfTest https://gmd.copernicus.org/articles/15/7933/2022/gmd-15-7933-2022.pdfTest |
| حقوق: | https://creativecommons.org/licenses/by/4.0Test/ ; uneingeschränkt ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.3D2DBC8F |
| قاعدة البيانات: | BASE |
| DOI: | 10.5194/gmd-15-7933-2022 |
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