19 citations as recorded by crossref.

1. Rainfall-Rate Assignment Using MSG SEVIRI Data—A Promising Approach to Spaceborne Rainfall-Rate Retrieval for Midlatitudes M. Kühnlein et al.
2. Retrieval of warm cloud optical properties using simple approximations T. Nauss & A. Kokhanovsky
3. Weather type dependent quality assessment of a satellite-based rainfall detection scheme for the mid-latitudes B. Thies et al.
4. 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.
5. Precipitation estimation by a multi-threshold method using cloud optical and microphysical properties from MSG / SEVIRI data M. Lazri et al.
6. 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.
7. Novel WkNN-based technique to improve instantaneous rainfall estimation over the north of Algeria using the multispectral MSG SEVIRI imagery N. Bensafi et al.
8. Precipitation process and rainfall intensity differentiation using Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager data B. Thies et al.
9. Discriminating raining from non-raining clouds at mid-latitudes using meteosat second generation daytime data B. Thies et al.
10. Discriminating raining from non‐raining cloud areas at mid‐latitudes using meteosat second generation SEVIRI night‐time data B. Thies et al.
11. 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.
12. Precipitation Clouds Delineation Scheme in Tropical Cyclones and Its Validation Using Precipitation and Cloud Parameter Datasets from TRMM F. Chen et al.
13. The Berchtesgaden National Park (Bavaria, Germany): a platform for interdisciplinary catchment research T. Marke et al.
14. Precipitation Estimates from MSG SEVIRI Daytime, Nighttime, and Twilight Data with Random Forests M. Kühnlein et al.
15. 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.
16. Satellite based remote sensing of weather and climate: recent achievements and future perspectives B. Thies & J. Bendix
17. SEVIRI rainfall retrieval and validation using weather radar observations R. Roebeling & I. Holleman
18. A Deep Learning-Based Algorithm for Identifying Precipitation Clouds Using Fengyun-4A Satellite Observation Data G. Ma et al.
19. Identifying precipitating clouds in Greece using multispectral infrared Meteosat Second Generation satellite data H. Feidas & A. Giannakos