44 citations as recorded by crossref.

1. Using the Gradient Boosting Decision Tree to Improve the Delineation of Hourly Rain Areas during the Summer from Advanced Himawari Imager Data L. Ma et al. 10.1175/JHM-D-17-0109.1
2. Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI M. Kühnlein et al. 10.1016/j.rse.2013.10.026
3. Using cloud water path and cloud top temperature for estimating convective and stratiform rainfall from SEVIRI daytime data M. Lazri & S. Ameur 10.1007/s12517-016-2610-8
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
5. Daytime precipitation identification scheme based on multiple cloud parameters retrieved from visible and infrared measurements X. Liu et al. 10.1007/s11430-014-4870-z
6. Improvement of rainfall estimation from MSG data using Random Forests classification and regression F. Ouallouche et al. 10.1016/j.atmosres.2018.05.001
7. Rainfall estimation from MSG images using fuzzy association rules B. Bouaita et al. 10.3233/JIFS-182786
8. PECA-FY4A: Precipitation Estimation using Chromatographic Analysis methodology for full-disc multispectral observations from FengYun-4A/AGRI S. Zhu & Z. Ma 10.1016/j.rse.2022.113234
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
10. Pattern recognition filtering and bidimensional FFT-based detection of storms in meteorological radar images O. Raaf & A. Adane 10.1016/j.dsp.2012.04.008
11. A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data M. Sist et al. 10.3390/app11104686
12. Precipitation process and rainfall intensity differentiation using Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager data B. Thies et al. 10.1029/2008JD010464
13. Precipitation Clouds Delineation Scheme in Tropical Cyclones and Its Validation Using Precipitation and Cloud Parameter Datasets from TRMM F. Chen et al. 10.1175/JAMC-D-17-0157.1
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
16. A multilayer perceptron and multiclass support vector machine based high accuracy technique for daily rainfall estimation from MSG SEVIRI data M. Sehad & S. Ameur 10.1016/j.asr.2019.11.018
17. Novel WkNN-based technique to improve instantaneous rainfall estimation over the north of Algeria using the multispectral MSG SEVIRI imagery N. Bensafi et al. 10.1016/j.jastp.2018.12.004
18. Using naive Bayes classifier for classification of convective rainfall intensities based on spectral characteristics retrieved from SEVIRI S. HAMEG et al. 10.1007/s12040-016-0717-7
19. Artificial intelligence systems for rainy areas detection and convective cells' delineation for the south shore of Mediterranean Sea during day and nighttime using MSG satellite images M. Tebbi & B. Haddad 10.1016/j.atmosres.2016.04.013
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
21. Satellite based remote sensing of weather and climate: recent achievements and future perspectives B. Thies & J. Bendix 10.1002/met.288
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
25. Species richness and vertical distribution of ferns and lycophytes along an elevational gradient in Los Tuxtlas, Veracruz, Mexico A. Acebey et al. 10.1016/j.flora.2017.08.003
26. Passive satellite hourly precipitation estimation over mainland China by combining cloud and meteorological parameters S. Xu et al. 10.1016/j.atmosres.2025.108112
27. 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
28. Revealing the potential of spectral and textural predictor variables in a neural network-based rainfall retrieval technique H. Meyer et al. 10.1080/2150704X.2017.1312026
29. Optimization of One versus All-SVM using AdaBoost algorithm for rainfall classification and estimation from multispectral MSG data A. Belghit et al. 10.1016/j.asr.2022.08.075
30. 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
31. Multi-Task Collaboration Deep Learning Framework for Infrared Precipitation Estimation X. Yang et al. 10.3390/rs13122310
32. 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
33. 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
34. 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
35. Rain Area Detection in South-Western Kenya by Using Multispectral Satellite Data from Meteosat Second Generation K. Kingsley et al. 10.3390/s21103547
36. 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
37. The TAMORA algorithm: satellite rainfall estimates over West Africa using multi-spectral SEVIRI data R. Chadwick et al. 10.5194/adgeo-25-3-2010
38. 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
39. 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
40. 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
41. 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
42. 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
43. Discriminating raining from non-raining clouds at mid-latitudes using meteosat second generation daytime data B. Thies et al. 10.5194/acp-8-2341-2008
44. First results on a process-oriented rain area classification technique using Meteosat Second Generation SEVIRI nighttime data B. Thies et al. 10.5194/adgeo-16-63-2008