Landslides are one of the critical natural processes, which cause enormous damage to life and property. These include roads, railways, bridges, dams, houses and also lead to loss of life. Hence, there is a need for landslide hazard zonation for identification of potential landslide areas. The present study is an attempt towards development of a landslide model by using multi-criteria decision analysis in GIS and remote sensing techniques for landslide hazard zonation. Pauri district was selected for this project. ResourceSAT-2 LISS- 4-Mx satellite imageries, SOI topographical maps, and ancillary data were used as inputs to the study. The data layers of Landuse-landcover and Geology were interpreted from satellite image and available ancillary data. Other raster thematic layers i.e. Slope, Aspect, Elevation and Drainage density have been generated in Arc info 3D Analyst Tool using ASTER DEM of 30 m. resolution. A numerical rating scheme for the factors was developed for spatial data analysis in GIS. First of all, delineation of landslides (167 Nos.) from high resolution satellite data was carried out and verification from Google Earth data was done. Extraction of relevant parameters was done from the remotely sensed data using digital and visual interpretation techniques. A statistical relationship was established between landslides and selected terrain parameters. Weights were assigned to different layer depending on their impact on occurrence of landslide. Landslide Hazard Zonation map was prepared based on integration of remotely sensed data derived layers and terrain characteristics derived topographic data. Validation of the results was done through ground checks and finally the Landslide Hazard Zonation map and Digital database was created in GIS environment. The resulting landslide hazard zonation map delineates the area into three different zones of relative Hazard (HZ) classes: High, Moderate and Low. 110 landslide fall in the High HZ category while 43 in th