24 citations as recorded by crossref.

1. Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery Z. Shao et al. 10.3390/rs9040311
2. Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking A. Taravat et al. 10.3390/rs70201529
3. Satellite-Based Characterization of Convective Growth and Glaciation and Its Relationship to Precipitation Formation over Central Europe F. Senf & H. Deneke 10.1175/JAMC-D-16-0293.1
4. Surface water estimation at regional scale using hybrid techniques in GEE environment-A case study on Punjab State of India K. Sur et al. 10.1016/j.rsase.2021.100625
5. 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 10.1007/s11760-017-1145-0
6. Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel S. Nilo et al. 10.3390/rs10040541
7. SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks A. Francis et al. 10.1109/TGRS.2021.3128280
8. Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images R. Cilli et al. 10.3390/rs12152355
9. Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach H. Fu et al. 10.3390/rs11010044
10. The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
11. Characterization of Initiation and Growth of Selected Severe Convective Storms over Central Europe with MSG-SEVIRI F. Senf et al. 10.1175/JAMC-D-14-0144.1
12. Improvement in Surface Solar Irradiance Estimation Using HRV/MSG Data F. Romano et al. 10.3390/rs10081288
13. Use of NARX neural networks for Meteosat Second Generation SEVIRI very short-term cloud mask forecasting S. Peronaci et al. 10.1080/2150704X.2016.1249296
14. A new method to estimate cloud effective radius using Meteosat Second Generation SEVIRI over Middle East M. Hadizadeh et al. 10.1016/j.asr.2019.05.035
15. Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. 10.5194/amt-17-6003-2024
16. A web application for hydrogeomorphic flood hazard mapping R. Tavares da Costa et al. 10.1016/j.envsoft.2019.04.010
17. Clouds dissipate quickly during solar eclipses as the land surface cools V. Trees et al. 10.1038/s43247-024-01213-0
18. CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning A. Francis et al. 10.3390/rs11192312
19. 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. 10.1080/01431161.2019.1624863
20. 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. 10.5194/amt-14-5107-2021
21. A first assessment of the Sentinel-2 Level 1-C cloud mask product to support informed surface analyses R. Coluzzi et al. 10.1016/j.rse.2018.08.009
22. High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds J. Fuchs et al. 10.5194/amt-15-4257-2022
23. Fusion Information Multi-View Classification Method for Remote Sensing Cloud Detection Q. Hao et al. 10.3390/app12147295
24. Using Stereographic Observations of two High Resolution Geostationary Satellite Images for Cloud Detection S. Dehnavi et al. 10.61186/jgit.11.2.17