mostafa.redwan

Mostafa GamalEldeen Taha Redwan

Professor - Professor of Environmental Geochemistry at Sohag Faculty of Science-Geology Department

Faculty of science

Address: Sohag Faculty of Science, Geology dep., P.O. Box 82524, Sohag, Egypt

7

Like
5 3 13 27 3 6 770 203
110

Newly Added
  • Courses 5
  • Course Supplements 3
  • Courses Tasks 13
  • Publications 27
  • Office hours 3
  • Announcements 6
  • File uploaded 0
  • Downloaded Times 0

Publications Which contain the keyword: landslide

Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia

2018-10-24 11:48:58 Keywords landslide, Susceptibility mapping, GIS,
Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia
Abstract The purpose of the current study is to produce landslide susceptibility maps using different probabilistic and bivariate statistical approaches; namely, frequency ratio (FR), weights-of-evidence (WofE), index-of-entropy (IofE), and Dempster–Shafer (DS) models, at Wadi Itwad, Asir region, in the southwestern part of Saudi Arabia. Landslide locations were identified and mapped from in- terpretation of high-resolution satellite images, historical records, and ... Read more

Comparison of Four Kernel Functions Used in Support Vector Machines for Landslide Susceptibility Mapping: A Case Study at Suichuan area (China).

2018-08-29 18:11:08 Keywords China, Suichuan, Remote sensing, landslide, GIS, Support vector machines,
Comparison of Four Kernel Functions Used in Support Vector Machines for Landslide Susceptibility Mapping: A Case Study at Suichuan area (China).
Suichuan is a mountainous area at the Jiangxi province in Central China, where rainfall-induced landslides occur frequently. The purpose of this study is to assess landslide susceptibility of this region using support vector machine (SVM) with four kernel functions: polynomial (PL), radial basis function (RBF), sigmoid (SIG), and linear (LN). A total of 178 landslides were used to accomplish this ... Read more

  • «
  • 1
  • »