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Ahmed M. Youssef
Researcher at Sohag University
Publications - 171
Citations - 5667
Ahmed M. Youssef is an academic researcher from Sohag University. The author has contributed to research in topics: Chemistry & Landslide. The author has an hindex of 35, co-authored 118 publications receiving 3795 citations. Previous affiliations of Ahmed M. Youssef include Missouri University of Science and Technology.
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Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery
TL;DR: In this paper, morphometric analyses have been used to estimate the flash flood risk levels of sub-watersheds within the Wadi Feiran basin, and a detailed geomorphological map for the most hazardous sub-basins is presented.
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Suitability estimation for urban development using multi-hazard assessment map.
George D. Bathrellos,Hariklia D. Skilodimou,Konstantinos Chousianitis,Ahmed M. Youssef,Biswajeet Pradhan,Biswajeet Pradhan +5 more
TL;DR: The produced suitability map for urban development proves a satisfactory agreement between the suitability zones and the landslide and flood phenomena that have affected the study area.
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Erratum to: Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
TL;DR: In this paper, four modeling techniques, namely random forest, boosted regression tree, classification and regression tree (CART), and general linear (GLM) are used, and their results are compared for landslides susceptibility mapping at the Wadi Tayyah Basin, Asir Region, Saudi Arabia.
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Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models
TL;DR: In this paper, a landslide susceptibility analysis at Al-Hasher area, Jizan, KSA, using two statistical models: frequency ratio and index of entropy models with the aid of GIS tools and remote sensing data.
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Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models
TL;DR: In this paper, a landslide hazard analysis at Cameron area, Malaysia, using a geographic information system (GIS) and remote sensing data was presented, where landslide locations were identified from interpretation of aerial photographs and field surveys.