14 citations as recorded by crossref.

1. Precipitation process and rainfall intensity differentiation using Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager data B. Thies et al. 10.1029/2008JD010464
2. A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data S. Egli et al. 10.3390/rs10040628
3. Infrared precipitation estimation using convolutional neural network for FengYun satellites C. Wang et al. 10.1016/j.jhydrol.2021.127113
4. On the Propagation of Satellite Precipitation Estimation Errors: From Passive Microwave to Infrared Estimates S. Upadhyaya et al. 10.1175/JHM-D-19-0293.1
5. PM-GCD – a combined IR–MW satellite technique for frequent retrieval of heavy precipitation D. Casella et al. 10.5194/nhess-12-231-2012
6. 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
7. Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran N. Turini et al. 10.3390/rs11192307
8. Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884
9. The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation K. Kumah et al. 10.3390/rs13163274
10. 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
11. High Temporal Rainfall Estimations from Himawari-8 Multiband Observations Using the Random-Forest Machine-Learning Method H. HIROSE et al. 10.2151/jmsj.2019-040
12. Hypothetical Cirrus Band Generation for Advanced Himawari Imager Sensor Using Data-to-Data Translation With Advanced Meteorological Imager Observations J. Park et al. 10.1109/JSTARS.2022.3224911
13. Infrared Precipitation Estimation Using Convolutional Neural Network C. Wang et al. 10.1109/TGRS.2020.2989183
14. Rain Area Detection in South-Western Kenya by Using Multispectral Satellite Data from Meteosat Second Generation K. Kingsley et al. 10.3390/s21103547