Youssef M. Youssef

Interpretable Ensemble Machine Learning for Statistical Emulation of Summer PM2.5 Change in GEOS-CF over the Arabian Peninsula: How Far Does Spatially Blocked Skill Transfer?

Fine particulate matter (PM2.5) over the Arabian Peninsula is poorly monitored at the surface. This study emulates the relative change in summer (June–August) PM2.5 between 2020 and 2025 in the NASA GEOS-CF composition system with interpretable ensemble machine learning, using thirteen predictors from Sentinel-5P TROPO...

Integrated satellite-derived assessment of multi-pollutant spatio-temporal variability across Saudi Arabia (2005–2024): urban environmental implications and pathways toward sustainable development goals

Multi-Indicator Assessment of Short-Term Forest-Soil Responses to the 2026 Wildfire Period Using Paired Field Observations and Regional GIS Analysis

Wildfires can rapidly alter soil physicochemical and biological properties, but short-term paired field evidence from North African forests remains limited. We assessed changes in 14 soil indicators at ten forest sites in northeastern Algeria and interpreted these field observations within a regional GIS analysis of Me...

Satellite-Based Assessment of Chlorophyll-a Variability, Seasonal Trends, and Eutrophication Risk for Water Sustainability in a Strategic Desert Reservoir

Lake Nasser represents Egypt’s principal strategic freshwater reservoir; however, its long-term phytoplankton dynamics at the basin scale remain insufficiently characterized. This study presents a detailed spatiotemporal investigation of chlorophyll-a (Chl-a) variability across the reservoir during the 2002–2020 period...

Enhancing groundwater potential mapping in arid regions through integrated microwave remote sensing, statistical analysis, and geophysical-based modeling

The increasing water scarcity in arid regions underscores the urgent necessity to map and manage structurally controlled aquifers (SCAq), which play a pivotal yet underappreciated role as water sources. This study presents an integrative framework that synergistically combines statistical remote sensing methods with ge...

Two Decades of Optical and Thermal Variability in Lake Nasser: A Multi-Variable MODIS Assessment on a 5 km Analysis Grid (2005–2025)

Multi-decadal trajectories of large arid-zone reservoirs are seldom described by integrated satellite observation. This study characterises the optical and thermal variability of Lake Nasser, Egypt, over 2005–2025. Eight monthly MODIS indicators—NDVI, EVI, NDWI, NDTI, a near-infrared reflectance index, white-sky albedo...

Advancing sustainable groundwater mapping and management in arid quaternary aquifers using machine learning and geospatial analytics integrating remote sensing and field hydrogeological data

Overall, the applied machine-learning techniques demonstrated good performance for GW potential assessment in data-limited environments and provide important guidance for GW resource management by identifying zones with substantial recharge and development potential.

Tectonic controls and subsurface structural insights for groundwater accumulation in El-Gallaba Plain, Egypt: insights from magnetic data interpretation

The groundwater distribution in southern Egypt is primarily governed by the region’s inherited rift-related tectonic framework. We integrated aeromagnetic data with available hydrogeochemical and seismic data to investigate structural controls on groundwater accumulation in El-Gallaba Plain along the western margin of...

Integrated GIS-based multi-criteria and geospatial approach for seismic hazard mapping in the arabian–eurasian convergence zone

Earthquakes represent one of the most destructive natural hazards, particularly in developing regions along the convergence zone of the Arabian and Eurasian tectonic plates, where they result in severe human casualties, extensive infrastructure damage, and major economic losses. This study applies an integrated methodo...