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Kurze Inhaltszusammenfassung in einer weiteren Sprache (Englisch): Muong Lay is one of the important social and economic areas in Northwestern Vietnam. Landslides occur frequently in the area and seriously affect local livelihoods and living conditions. Therefore, the problem of landslide hazard and mitigation for a sustainable development of this area is significant. The spatial analysis of landslide hazard assessment in the mountainous regions in Muong Lay is important to address this development challenge. This study focuses on the application of GIS and RS to landslide hazard assessment, especially for support of GIS modeling to landslide hazard susceptibility for Muong Lay area. By using Remote sensing with LandSat TM image and aerial photos of scale 1:50,000 and using statistical models with GIS-software’s ENVI3.4, ILWIS3.0, PCI9.0 and ARC/GIS9.1, the study tries to evaluate and estimate the landslide in relation with naturally different elements of natural conditions such as geology, geomorphology, geology-engineering, tectonics, hydrology, rainfall, etc… Especial, the study firstly aims to produce the causal factor maps by verifying digital data. These factors then will be applied in a methodology based on statistical methods such as: “bivariate statistical analysis” and “multivariate statistical analysis” approach to calculate the susceptibility level of each class of each factor to landslide. The integration of Geographic Information System (GIS) and Remote Rensing (RS)for landslide hazard zonation and assessment is a valid approach. In these researches various methods for image integration and information extraction have been analysed and evaluated in detail.