28 citations as recorded by crossref.

1. 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
2. The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. https://doi.org/10.3390/rs16142578
3. 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
4. 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
5. 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
6. 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
7. 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
8. Scale-dependent cloud enhancement from land restoration in West African drylands J. Ruijsch et al. https://doi.org/10.1038/s43247-025-02154-y
9. Fusion Information Multi-View Classification Method for Remote Sensing Cloud Detection Q. Hao et al. https://doi.org/10.3390/app12147295
10. Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery Z. Shao et al. https://doi.org/10.3390/rs9040311
11. Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking A. Taravat et al. https://doi.org/10.3390/rs70201529
12. 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
13. 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
14. Retrieval of Cloud Optical Depth from EOS06/OCM-3 S. Verma et al. https://doi.org/10.1007/s12524-025-02144-9
15. 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
16. SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks A. Francis et al. https://doi.org/10.1109/TGRS.2021.3128280
17. Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images R. Cilli et al. https://doi.org/10.3390/rs12152355
18. Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach H. Fu et al. https://doi.org/10.3390/rs11010044
19. 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
20. 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
21. Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data F. Romano et al. https://doi.org/10.3390/rs10081288
22. 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
23. A web application for hydrogeomorphic flood hazard mapping R. Tavares da Costa et al. https://doi.org/10.1016/j.envsoft.2019.04.010
24. Clouds dissipate quickly during solar eclipses as the land surface cools V. Trees et al. https://doi.org/10.1038/s43247-024-01213-0
25. CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning A. Francis et al. https://doi.org/10.3390/rs11192312
26. 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
27. 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
28. 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