In the present study landslide hazard zonation and slope instability assessment were carriedrnout in and around Gidole Town in Southern Ethiopia. The main objective of the study was tornmap landslide hazard zone using Information Value Bivariat statistical model and assess thernslope instability using InSAR approach. For landslide hazard zonation of the study area sixrncausative factors namely; aspect, slope angle, elevation, slope material, NormalizedrnDeference Vegetation Index (NDVI) and land-use and land-cover were considered. Thernlandslide inventory mapping for the present study area was carried out through fieldrnobservations and Google Earth image interpretation. Later, Information value was calculatedrnbased on the influence of causative factors on past landslide. The distribution of landslidernover each causative factor maps was obtained and analyzed. Weights for the class with inrnthese causative factor maps was obtained using information value model. Distribution ofrnlandslide in the study area was largely governed by aspect of southwest facing, slope angel ofrn30-45o, elevation of 1815â€“2150m, NDVI of 0.27âˆ’0.37, slope material of colluvial depositrnand land-use and land-cover of agricultural land. The landslide hazard zonation map showsrnthat 78.38km2 (36.3%) area fall within very low hazard (VLH) zone, 72.85km2 (34.2%) ofrnthe area fall within low hazard (LH) zone, 12.78 km2 (6.6%), 32.72 km2 (15.4%) and 15.89rnkm2 (7.5%) of the area falls into very high hazard (VHH), high hazard (HH) and moderaternhazard (MH), respectively. Further, validation of LHZ map with past landslide inventory datarnshows that 92.3% of the existing landslides fall in very high hazard (VHH) and high hazardrn(VHH) zone. Thus, it can safely be concluded that the hazard zones delineated in the presentrnstudy validates with the past landslide data and the potential zone depicted can reasonably bernapplied for the safe planning of the area. Further, the landslide activities in the study arearnwere studied using Persistent Scatterer -Interferometry synthetic Aperture method. For thernanalysis radar image was acquired by the Sentinel Satellite for the period 2014âˆ’2018. Thernresult of PS-InSAR processing indicates the average displacement located in the study arearnhas gradually increasing starting from 15.3mm/yr. to -19.2 mm/yr. The result of the studyrnarea represented in terms of vertical displacement from the satellite Line of sight. Negativerndisplacement indicates that the land surface is moving away from the satellite line of sightrnand the positive sign indicate the area is moving towards line of sight.