Automated classification of satellite images is a challenging task that enables the use of
remote sensing data for environmental modeling of Earth's landscapes. In this document, we …

Urban areas in Sahelian West Africa are highly vulnerable to extreme hydro‐meteorological
events. In recent years, Burkina Faso has experienced several natural disasters with floods …

This work aims, as a first step, to analyze rainfall variability in Northern Algeria, in particular
extreme events, during the period from 1940 to 2010. Analysis of annual rainfall shows that …

Precipitation in northeastern Algeria is irregular, often exhibiting exceptional values.
Extreme precipitation events, such as annual maximum daily precipitation (AMDP), can …

Here, we investigate the precipitation regionalization and the spatial variability of rainfall
extremes, using a 47-year long station-based dataset from western central Morocco, a …

Les valeurs extrêmes des variables hydroclimatiques présentent un intérêt tout particulier
lorsqu'on parle en termes de risque. L'estimation de la récurrence de pluies extrêmes fournit …

The daily rainfall dataset of 35 weather stations covering the north of Algeria was studied for
a period up to 43 years, recorded after 1970s. The variability and trends in annual maximum …

The aim of this study is to provide detailed geological and structural information about
groundwater aquifers in the Chott Ech Chergui region using geophysical and remote …

At the heart of the 2030 Agenda, 17 Sustainable Development Goals (SDGs) have been
adopted by the United Nations. SDG 15 aims to implement sustainable management of …

Modelling the hydrological balance in semi-arid zones is essential for effective water
resource management, encompassing both surface water and groundwater. This study aims …