Articles | Volume 4, issue 2
https://doi.org/10.5194/amt-4-319-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-4-319-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Feb 2011
Research article |
| 22 Feb 2011
Synergetic cloud fraction determination for SCIAMACHY using MERIS
C. Schlundt
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
A. A. Kokhanovsky
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
W. von Hoyningen-Huene
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
T. Dinter
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
L. Istomina
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
J. P. Burrows
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
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Cited
23 citations as recorded by crossref.
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- An integrated approach of analytical network process and fuzzy based spatial decision making systems applied to landslide risk mapping H. Abedi Gheshlaghi & B. Feizizadeh https://doi.org/10.1016/j.jafrearsci.2017.05.007
- GIS-based forest fire risk mapping using the analytical network process and fuzzy logic H. Abedi Gheshlaghi et al. https://doi.org/10.1080/09640568.2019.1594726
- Improved cloud detection over sea ice and snow during Arctic summer using MERIS data L. Istomina et al. https://doi.org/10.5194/amt-13-6459-2020
- Exploring the ecological potential of SDGSAT-1 MII and TIS data: Methods, applications, and comparisons H. Xu et al. https://doi.org/10.1016/j.rse.2025.114976
- Improved identification of clouds and ice/snow covered surfaces in SCIAMACHY observations J. Krijger et al. https://doi.org/10.5194/amt-4-2213-2011
- First Retrieval of AOD at Fine Resolution Over Shallow and Turbid Coastal Waters From MODIS Y. Wang et al. https://doi.org/10.1029/2021GL094344
- Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps S. Karalasingham et al. https://doi.org/10.3390/rs17030461
- Reindeer eyes seasonally adapt to ozone-blue Arctic twilight by tuning a photonic tapetum lucidum R. Fosbury & G. Jeffery https://doi.org/10.1098/rspb.2022.1002
- A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. https://doi.org/10.1016/j.rse.2016.11.016
- Bayesian cloud detection for MERIS, AATSR, and their combination A. Hollstein et al. https://doi.org/10.5194/amt-8-1757-2015
- Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data E. Zege et al. https://doi.org/10.1016/j.rse.2015.03.012
- Retrieval of Terrestrial Plant Fluorescence Based on the In-Filling of Far-Red Fraunhofer Lines Using SCIAMACHY Observations N. Khosravi et al. https://doi.org/10.3389/fenvs.2015.00078
- Comparison of dust-layer heights from active and passive satellite sensors A. Kylling et al. https://doi.org/10.5194/amt-11-2911-2018
- MERIS albedo climatology for FRESCO+ O2 A-band cloud retrieval C. Popp et al. https://doi.org/10.5194/amt-4-463-2011
- Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. https://doi.org/10.1016/j.rse.2021.112557
- Using SeaWiFS Measurements to Evaluate Radiometric Stability of Pseudo-Invariant Calibration Sites at Top of Atmosphere . Chi Li et al. https://doi.org/10.1109/LGRS.2014.2329138
- Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data L. Istomina et al. https://doi.org/10.5194/tc-9-1551-2015
- Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research J. le Roux et al. https://doi.org/10.3390/rs13152981
- Retrieval of Cloud Optical Depth from EOS06/OCM-3 S. Verma et al. https://doi.org/10.1007/s12524-025-02144-9
- Evaluation of SCIAMACHY ESA/DLR Cloud Parameters Version 5.02 by Comparisons to Ground-Based and Other Satellite Data L. Lelli et al. https://doi.org/10.3389/fenvs.2016.00043
- Aerosol remote sensing in polar regions C. Tomasi et al. https://doi.org/10.1016/j.earscirev.2014.11.001
- Unlocking the potential of ChatGPT in investigating NDVI over the vineyard habitat of the Mediterranean coastal city Y. Hwang et al. https://doi.org/10.1007/s11852-025-01184-0
23 citations as recorded by crossref.
- A novel optical satellite based non-debris-covered glacier mapping based on visible reflectance characteristics of ice and snow J. Yang et al. https://doi.org/10.1016/j.coldregions.2025.104764
- An integrated approach of analytical network process and fuzzy based spatial decision making systems applied to landslide risk mapping H. Abedi Gheshlaghi & B. Feizizadeh https://doi.org/10.1016/j.jafrearsci.2017.05.007
- GIS-based forest fire risk mapping using the analytical network process and fuzzy logic H. Abedi Gheshlaghi et al. https://doi.org/10.1080/09640568.2019.1594726
- Improved cloud detection over sea ice and snow during Arctic summer using MERIS data L. Istomina et al. https://doi.org/10.5194/amt-13-6459-2020
- Exploring the ecological potential of SDGSAT-1 MII and TIS data: Methods, applications, and comparisons H. Xu et al. https://doi.org/10.1016/j.rse.2025.114976
- Improved identification of clouds and ice/snow covered surfaces in SCIAMACHY observations J. Krijger et al. https://doi.org/10.5194/amt-4-2213-2011
- First Retrieval of AOD at Fine Resolution Over Shallow and Turbid Coastal Waters From MODIS Y. Wang et al. https://doi.org/10.1029/2021GL094344
- Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps S. Karalasingham et al. https://doi.org/10.3390/rs17030461
- Reindeer eyes seasonally adapt to ozone-blue Arctic twilight by tuning a photonic tapetum lucidum R. Fosbury & G. Jeffery https://doi.org/10.1098/rspb.2022.1002
- A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. https://doi.org/10.1016/j.rse.2016.11.016
- Bayesian cloud detection for MERIS, AATSR, and their combination A. Hollstein et al. https://doi.org/10.5194/amt-8-1757-2015
- Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data E. Zege et al. https://doi.org/10.1016/j.rse.2015.03.012
- Retrieval of Terrestrial Plant Fluorescence Based on the In-Filling of Far-Red Fraunhofer Lines Using SCIAMACHY Observations N. Khosravi et al. https://doi.org/10.3389/fenvs.2015.00078
- Comparison of dust-layer heights from active and passive satellite sensors A. Kylling et al. https://doi.org/10.5194/amt-11-2911-2018
- MERIS albedo climatology for FRESCO+ O2 A-band cloud retrieval C. Popp et al. https://doi.org/10.5194/amt-4-463-2011
- Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. https://doi.org/10.1016/j.rse.2021.112557
- Using SeaWiFS Measurements to Evaluate Radiometric Stability of Pseudo-Invariant Calibration Sites at Top of Atmosphere . Chi Li et al. https://doi.org/10.1109/LGRS.2014.2329138
- Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data L. Istomina et al. https://doi.org/10.5194/tc-9-1551-2015
- Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research J. le Roux et al. https://doi.org/10.3390/rs13152981
- Retrieval of Cloud Optical Depth from EOS06/OCM-3 S. Verma et al. https://doi.org/10.1007/s12524-025-02144-9
- Evaluation of SCIAMACHY ESA/DLR Cloud Parameters Version 5.02 by Comparisons to Ground-Based and Other Satellite Data L. Lelli et al. https://doi.org/10.3389/fenvs.2016.00043
- Aerosol remote sensing in polar regions C. Tomasi et al. https://doi.org/10.1016/j.earscirev.2014.11.001
- Unlocking the potential of ChatGPT in investigating NDVI over the vineyard habitat of the Mediterranean coastal city Y. Hwang et al. https://doi.org/10.1007/s11852-025-01184-0
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