11 citations as recorded by crossref.

1. The September 2019 floods in Spain: An example of the utility of satellite data for the analysis of extreme hydrometeorological events F. Tapiador et al. 10.1016/j.atmosres.2021.105588
2. Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine Learning Y. Zhang et al. 10.3390/rs13163332
3. Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884
4. Daytime identification of summer hailstorm cells from MSG data A. Merino et al. 10.5194/nhess-14-1017-2014
5. A First Step towards Meteosat Third Generation Day-2 Precipitation Rate Product: Deep Learning for Precipitation Rate Retrieval from Geostationary Infrared Measurements L. D’Adderio et al. 10.3390/rs15245662
6. Classification of convective and stratiform rain based on the spectral and textural features of Meteosat Second Generation infrared data A. Giannakos & H. Feidas 10.1007/s00704-012-0802-z
7. Comparison of Macro- and Microphysical Properties in Precipitating and Non-Precipitating Clouds over Central-Eastern China during Warm Season X. Zheng et al. 10.3390/rs14010152
8. Modeling Satellite Precipitation Errors Over Mountainous Terrain: The Influence of Gauge Density, Seasonality, and Temporal Resolution V. Maggioni et al. 10.1109/TGRS.2017.2688998
9. Classifying convective and stratiform rain using multispectral infrared Meteosat Second Generation satellite data H. Feidas & A. Giannakos 10.1007/s00704-011-0557-y
10. Validation of Satellite-Based Precipitation Products over Sparsely Gauged African River Basins V. Thiemig et al. 10.1175/JHM-D-12-032.1
11. A New Dynamically Updated Geostationary Satellite Precipitation Estimation Algorithm for Near Real-Time Condition D. Ji et al. 10.1109/TGRS.2025.3583904