42 citations as recorded by crossref.

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4. Rainfall estimation over a Mediterranean region using a method based on various spectral parameters of SEVIRI-MSG M. Lazri et al. 10.1016/j.asr.2013.07.036
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9. Precipitation Estimates from MSG SEVIRI Daytime, Nighttime, and Twilight Data with Random Forests M. Kühnlein et al. 10.1175/JAMC-D-14-0082.1
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14. Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks L. Beusch et al. 10.3390/rs10060939
15. 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
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20. A satellite rainfall retrieval technique over northern Algeria based on the probability of rainfall intensities classification from MSG-SEVIRI M. Lazri & S. Ameur 10.1016/j.jastp.2016.07.015
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22. Las angiospermas epífitas del estado de Veracruz, México: diversidad y distribución T. Krömer et al. 10.22201/ib.20078706e.2020.91.3415
23. An Artificial Neural Network Approach to Multispectral Rainfall Estimation over Africa R. Chadwick & D. Grimes 10.1175/JHM-D-11-081.1
24. Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884
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26. Triple Collocation of Summer Precipitation Retrievals from SEVIRI over Europe with Gridded Rain Gauge and Weather Radar Data R. Roebeling et al. 10.1175/JHM-D-11-089.1
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29. Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals H. Meyer et al. 10.1016/j.atmosres.2015.09.021
30. Multi-Task Collaboration Deep Learning Framework for Infrared Precipitation Estimation X. Yang et al. 10.3390/rs13122310
31. Combination of Spectral and Textural Features in the MSG Satellite Remote Sensing Images for Classifying Rainy Area into Different Classes Y. Mohia et al. 10.1007/s12524-016-0640-z
32. An Artificial Neural Network Model to Reduce False Alarms in Satellite Precipitation Products Using MODIS and CloudSat Observations N. Nasrollahi et al. 10.1175/JHM-D-12-0172.1
33. Rainfall-Rate Assignment Using MSG SEVIRI Data—A Promising Approach to Spaceborne Rainfall-Rate Retrieval for Midlatitudes M. Kühnlein et al. 10.1175/2010JAMC2284.1
34. Rain Area Detection in South-Western Kenya by Using Multispectral Satellite Data from Meteosat Second Generation K. Kingsley et al. 10.3390/s21103547
35. 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
36. The TAMORA algorithm: satellite rainfall estimates over West Africa using multi-spectral SEVIRI data R. Chadwick et al. 10.5194/adgeo-25-3-2010
37. Combination of support vector machine, artificial neural network and random forest for improving the classification of convective and stratiform rain using spectral features of SEVIRI data M. Lazri & S. Ameur 10.1016/j.atmosres.2017.12.006
38. Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 1: Precipitation Area Delineation with Elektro-L2 and Insat-3D C. Kolbe et al. 10.3390/rs11192302
39. Identification of raining clouds using a method based on optical and microphysical cloud properties from Meteosat second generation daytime and nighttime data M. Lazri et al. 10.1007/s13201-013-0079-0
40. Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images Q. Liu et al. 10.3390/rs11212555
41. Novel SVM-based technique to improve rainfall estimation over the Mediterranean region (north of Algeria) using the multispectral MSG SEVIRI imagery M. Sehad et al. 10.1016/j.asr.2016.11.042
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