This study, landslide hazard potential and prediction model were assessed at regional scale (1:50,000 to 1: 100,000) using remote sensing, geographic information systems (GIS) and field geology. The case study area is at Wang Chin District, Phrae Province, Northern Thailand. The role of remote sensing is mainly to map the distribution of existing landslides location and the factors that affect the landslide occurrences. While, the GIS are used for database construction and management, data displays, data analysis and landslide hazard map production. In this study, the methodology of landslide hazard assessment comprises the bivariate probability and weighting analysis using GIS technique. It is based on the observed relationship between each instability factor and the past landslide distribution. The bivariate probability analysis was applied to assess the probability of landslide occurrence which indicates the hazard areas. In addition, weighting and ranking of importance of factors to landslide occurrence are used to identification landslide potential areas. Finally, landslide hazard maps were produced. The degree of landslide hazard is expressed in relative term from very low to very high hazard level, and represents the expectation of future landslide occurrence based on the conditions of that particular area. The landslide hazard map shows that 3.88 percent of the whole area lies in the highest landslide prone area. The percentage of low hazard area is highest at 30.24 percent of the total area. Similarly, 17.44 percent, 20.40 percent and 28.03 percent of area lies in the high, moderate and very low landslide hazard, respectively. It is obvious from the result map that the areas under high and very high hazard level are near the first and second stream orders of the study area. The result from this study represents differing hazard levels that show only the order of relative hazard at a particular site and not the absolute hazard. Key words: Landslide, prediction model, hazard assessment, remote sensing, GIS, Probability