| Issue |
E3S Web Conf.
Volume 699, 2026
11th International Conference on Energy and City of the Future (EVF’2024)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 12 | |
| Section | Water Management | |
| DOI | https://doi.org/10.1051/e3sconf/202669903004 | |
| Published online | 20 March 2026 | |
Combining Classifiers for Delineation of Raining Cloud over North Algeria and Mediterranean Sea
1 Laboratoire LAMPA, Université UMMTO, Tizi Ouzou, Algeria
2 MCB, Université UMBB, Boumerdès, Algeria
3 ECAM-EPMI, LR2E, Quartz-Lab, Cergy-Pontoise, France
* Corresponding Author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In this paper, we presented the application of the classifier combination technique to classify cloud systems, namely stratiform and convective systems. The data used come from the SEVIRI (Spinning Enhanced Visible and Infra-Red Imager) radiometric imager on board the MSG (Meteosat Second Generation) satellite. The methods were trained and evaluated with satellite and radar data of the rain event of October 10, 2018 in the south of France provided by Météo-France. This allowed us to evaluate and compare the performances for cloud identification of two methods frequently used in combination of classifiers
Key words: Machine Learning / Combining Classifiers / Bagging / Boosting / Stacking / Rainfall Estimation / Delineation Raining Cloud / SEVIRI / MSG / Radar
© The Authors, published by EDP Sciences, 2026
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