Integrated GIS, Remote Sensing and Mathematical Modeling to Study Landslide: A Case Study Bo River Valley, Thua Thien Hue, Vietnam

  • Truong Xuan Luan Hanoi University of Mining and Geology, Dong Ngac, Tu Liem, Ha Noi, Vietnam
  • Nhu Viet Ha University of Gent, Belgium
  • Truong Xuan Quang Seoul National University, Korea


Landslide is one of the most serious natural disasters causing great losses in term of materials and lives. Apart from conventional methods being used to study landsliding phenomena in this study, a combination of modern methods such as GIS, RS, CF and DSS has been used successfully in a case study on landslide of the Bo river valley in Thua Thien Hue-a province of the central part of Vietnam. As the results, 9 maps have been established depicting CF distribution of the average annual rain fall, slope rate, elevation, geomophologycal, land usage, rivers and springs density, geological structure, fall density, weathering factors and tow highly landslding sensitive maps of the concerned area. The obtained results allow to define the main factors causing landslding as: slope rate, rain fall, hydro-geological structure, surface weathering factors, distance to active faults and impact of human activities (land usage, plantation coverage etc). The proposed maps along with the proposed software's for management of geological disasters (will be following the current study in nearer future) would form a modern network which could be an useful tool for managers and planers to study, analysis and evaluation of landsliding phenomena in order to carry out prevention, mitigation as well as disaster avoidance. For the research area, some general measures for prevention, mitigation and avoidance of the landslding disaster have been proposed.