Articles | Volume 6, issue 10
https://doi.org/10.5194/amt-6-2713-2013
© Author(s) 2013. 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-6-2713-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Oct 2013
Research article |
| 18 Oct 2013
A threshold-based cloud mask for the high-resolution visible channel of Meteosat Second Generation SEVIRI
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
H. Deneke
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
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Cited
28 citations as recorded by crossref.
- Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel S. Nilo et al. https://doi.org/10.3390/rs10040541
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. https://doi.org/10.3390/rs16142578
- A new method to estimate cloud effective radius using Meteosat Second Generation SEVIRI over Middle East M. Hadizadeh et al. https://doi.org/10.1016/j.asr.2019.05.035
- Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. https://doi.org/10.5194/amt-17-6003-2024
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. https://doi.org/10.5194/amt-14-5107-2021
- A first assessment of the Sentinel-2 Level 1-C cloud mask product to support informed surface analyses R. Coluzzi et al. https://doi.org/10.1016/j.rse.2018.08.009
- High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds J. Fuchs et al. https://doi.org/10.5194/amt-15-4257-2022
- Scale-dependent cloud enhancement from land restoration in West African drylands J. Ruijsch et al. https://doi.org/10.1038/s43247-025-02154-y
- Fusion Information Multi-View Classification Method for Remote Sensing Cloud Detection Q. Hao et al. https://doi.org/10.3390/app12147295
- Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery Z. Shao et al. https://doi.org/10.3390/rs9040311
- Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking A. Taravat et al. https://doi.org/10.3390/rs70201529
- Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke https://doi.org/10.1175/JAMC-D-16-0293.1
- Surface water estimation at regional scale using hybrid techniques in GEE environment-A case study on Punjab State of India K. Sur et al. https://doi.org/10.1016/j.rsase.2021.100625
- Retrieval of Cloud Optical Depth from EOS06/OCM-3 S. Verma et al. https://doi.org/10.1007/s12524-025-02144-9
- Automatic day time cloud detection over land and sea from MSG SEVIRI images using three features and two artificial intelligence approaches M. Reguiegue & F. Chouireb https://doi.org/10.1007/s11760-017-1145-0
- SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks A. Francis et al. https://doi.org/10.1109/TGRS.2021.3128280
- Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images R. Cilli et al. https://doi.org/10.3390/rs12152355
- Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach H. Fu et al. https://doi.org/10.3390/rs11010044
- A new machine-learning based cloud mask using harmonized data of two Meteosat generations shows a general decrease in cloudiness over Europe in recent decades S. Gaurav et al. https://doi.org/10.1016/j.rse.2025.114599
- Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al. https://doi.org/10.1175/JAMC-D-14-0144.1
- Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data F. Romano et al. https://doi.org/10.3390/rs10081288
- Use of NARX neural networks for Meteosat Second Generation SEVIRI very short-term cloud mask forecasting S. Peronaci et al. https://doi.org/10.1080/2150704X.2016.1249296
- A web application for hydrogeomorphic flood hazard mapping R. Tavares da Costa et al. https://doi.org/10.1016/j.envsoft.2019.04.010
- Clouds dissipate quickly during solar eclipses as the land surface cools V. Trees et al. https://doi.org/10.1038/s43247-024-01213-0
- CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning A. Francis et al. https://doi.org/10.3390/rs11192312
- Verification of two machine learning approaches for cloud masking based on reflectance of channel IR3.9 using Meteosat Second Generation over Middle East maritime M. Hadizadeh et al. https://doi.org/10.1080/01431161.2019.1624863
- Using Stereographic Observations of two High Resolution Geostationary Satellite Images for Cloud Detection S. Dehnavi et al. https://doi.org/10.61186/jgit.11.2.17
- Cloudiness retrieved from All-Sky camera and MSG satellite over Reunion Island and Antananarivo Madagascar J. Rivonirina et al. https://doi.org/10.5194/angeo-43-651-2025
28 citations as recorded by crossref.
- Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel S. Nilo et al. https://doi.org/10.3390/rs10040541
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. https://doi.org/10.3390/rs16142578
- A new method to estimate cloud effective radius using Meteosat Second Generation SEVIRI over Middle East M. Hadizadeh et al. https://doi.org/10.1016/j.asr.2019.05.035
- Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. https://doi.org/10.5194/amt-17-6003-2024
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. https://doi.org/10.5194/amt-14-5107-2021
- A first assessment of the Sentinel-2 Level 1-C cloud mask product to support informed surface analyses R. Coluzzi et al. https://doi.org/10.1016/j.rse.2018.08.009
- High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds J. Fuchs et al. https://doi.org/10.5194/amt-15-4257-2022
- Scale-dependent cloud enhancement from land restoration in West African drylands J. Ruijsch et al. https://doi.org/10.1038/s43247-025-02154-y
- Fusion Information Multi-View Classification Method for Remote Sensing Cloud Detection Q. Hao et al. https://doi.org/10.3390/app12147295
- Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery Z. Shao et al. https://doi.org/10.3390/rs9040311
- Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking A. Taravat et al. https://doi.org/10.3390/rs70201529
- Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke https://doi.org/10.1175/JAMC-D-16-0293.1
- Surface water estimation at regional scale using hybrid techniques in GEE environment-A case study on Punjab State of India K. Sur et al. https://doi.org/10.1016/j.rsase.2021.100625
- Retrieval of Cloud Optical Depth from EOS06/OCM-3 S. Verma et al. https://doi.org/10.1007/s12524-025-02144-9
- Automatic day time cloud detection over land and sea from MSG SEVIRI images using three features and two artificial intelligence approaches M. Reguiegue & F. Chouireb https://doi.org/10.1007/s11760-017-1145-0
- SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks A. Francis et al. https://doi.org/10.1109/TGRS.2021.3128280
- Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images R. Cilli et al. https://doi.org/10.3390/rs12152355
- Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach H. Fu et al. https://doi.org/10.3390/rs11010044
- A new machine-learning based cloud mask using harmonized data of two Meteosat generations shows a general decrease in cloudiness over Europe in recent decades S. Gaurav et al. https://doi.org/10.1016/j.rse.2025.114599
- Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al. https://doi.org/10.1175/JAMC-D-14-0144.1
- Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data F. Romano et al. https://doi.org/10.3390/rs10081288
- Use of NARX neural networks for Meteosat Second Generation SEVIRI very short-term cloud mask forecasting S. Peronaci et al. https://doi.org/10.1080/2150704X.2016.1249296
- A web application for hydrogeomorphic flood hazard mapping R. Tavares da Costa et al. https://doi.org/10.1016/j.envsoft.2019.04.010
- Clouds dissipate quickly during solar eclipses as the land surface cools V. Trees et al. https://doi.org/10.1038/s43247-024-01213-0
- CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning A. Francis et al. https://doi.org/10.3390/rs11192312
- Verification of two machine learning approaches for cloud masking based on reflectance of channel IR3.9 using Meteosat Second Generation over Middle East maritime M. Hadizadeh et al. https://doi.org/10.1080/01431161.2019.1624863
- Using Stereographic Observations of two High Resolution Geostationary Satellite Images for Cloud Detection S. Dehnavi et al. https://doi.org/10.61186/jgit.11.2.17
- Cloudiness retrieved from All-Sky camera and MSG satellite over Reunion Island and Antananarivo Madagascar J. Rivonirina et al. https://doi.org/10.5194/angeo-43-651-2025
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