43 citations as recorded by crossref.

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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
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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
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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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