23 citations as recorded by crossref.

1. Delineation of Rain Areas with TRMM Microwave Observations Based on PNN S. Xu et al. https://doi.org/10.3390/rs61212118
2. The Use of TRMM 3B42 Product for Drought Monitoring in Mexico A. De Jesús et al. https://doi.org/10.3390/w8080325
3. PrecipGAN: Merging Microwave and Infrared Data for Satellite Precipitation Estimation Using Generative Adversarial Network C. Wang et al. https://doi.org/10.1029/2020GL092032
4. Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island M. Um et al. https://doi.org/10.1016/j.atmosres.2016.07.007
5. A statistical approach for rain intensity differentiation using Meteosat Second Generation–Spinning Enhanced Visible and InfraRed Imager observations E. Ricciardelli et al. https://doi.org/10.5194/hess-18-2559-2014
6. Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China H. Guo et al. https://doi.org/10.3390/atmos7010006
7. Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. https://doi.org/10.3390/rs10101549
8. A multilayer perceptron and multiclass support vector machine based high accuracy technique for daily rainfall estimation from MSG SEVIRI data M. Sehad & S. Ameur https://doi.org/10.1016/j.asr.2019.11.018
9. Evaluating Satellite Precipitation Products in Capturing the Spatio-temporal Rainfall Variability Across North Darfur State, Sudan M. Altoom et al. https://doi.org/10.1007/s41976-025-00219-2
10. 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. https://doi.org/10.1016/j.asr.2016.11.042
11. Evaluation of satellite-based precipitation estimates over Algeria during 1998–2016 H. Babaousmail et al. https://doi.org/10.1016/j.jastp.2019.105139
12. Downscaling of Satellite OPEMW Surface Rain Intensity Data A. Cersosimo et al. https://doi.org/10.3390/rs10111763
13. Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using Machine Learning Algorithms W. Jing et al. https://doi.org/10.3390/rs9080781
14. 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 https://doi.org/10.1016/j.atmosres.2017.12.006
15. Assessment and Comparison of TMPA Satellite Precipitation Products in Varying Climatic and Topographic Regimes in Morocco A. Milewski et al. https://doi.org/10.3390/rs70505697
16. Objective Classification of Rainfall in Northern Europe for Online Operation of Urban Water Systems Based on Clustering Techniques R. Löwe et al. https://doi.org/10.3390/w8030087
17. Combining Passive Infrared and Microwave Satellite Observations to Investigate Cloud Microphysical Properties: A Review M. Viggiano et al. https://doi.org/10.3390/rs17020337
18. Evaluation of GPROF-SSMI/S rainfall estimates over land during the Brazilian CHUVA-VALE campaign R. Oliveira et al. https://doi.org/10.1016/j.atmosres.2014.11.010
19. A Comparison of Different Regression Algorithms for Downscaling Monthly Satellite-Based Precipitation over North China W. Jing et al. https://doi.org/10.3390/rs8100835
20. Mapping Fine Spatial Resolution Precipitation from TRMM Precipitation Datasets Using an Ensemble Learning Method and MODIS Optical Products in China X. Zhao et al. https://doi.org/10.3390/su9101912
21. Prediction of Rain Occurrence and Accumulation Using Multifrequency Radiometric Observations A. Maitra & R. Chakraborty https://doi.org/10.1109/TGRS.2017.2783848
22. RAINBOW: An Operational Oriented Combined IR-Algorithm L. D’Adderio et al. https://doi.org/10.3390/rs12152444
23. Precipitation Intensity Trend Detection using Hourly and Daily Observations in Portland, Oregon A. Cooley & H. Chang https://doi.org/10.3390/cli5010010