Spatial data processing especially using GIS techniques has been playing anrnimportant role in different applications. Multiple source spatial and non-spatial datarncan be processed and integrated for the analysis of spatio-temporal dimension of arngiven area. In this study, land use/cover dynamics that occurred from 1973 to 2000 &rnpotential area to soil erosion have been identified. The main objective of the study is tornassess land use land cover dynamics for the last 27 years and to identify soil erosionrnsusceptible area. To this end, remotely sensed data i.e. Landsat satellite images ofrn1973 MSS, 1986TM and 2000ETM+ have been used to produce land use land coverrnclasses and to see the dynamics using Geographical Information System (GIS).Thernresults in this research for the last 27 years are the following. From 1973 to 1986rnagriculture and bare lands have been increased with 7348.8 ha and 3998.9 ha,rnrespectively. The main factor of this is population growth in the area. While forest,rnbush and grass lands have been diminished by 2152.7, 2381.7, and 6386.5ha,rnrespectively. From 1986 to 2000, only agricultural lands have been expanded byrn2282.8 ha, while bare, forest, bush and grass lands have been decreased with 272.3,rn4.1, 241.7 and 1765.2 ha, respectively. The dynamics have been detected andrnsupported with NDVI statistics. It indicates that there has been increasing forestrndegradation in the Study area. Agricultural lands have been analyzed with slope andrnsoil erosion susceptible areas. In both cases, such land class has been expanded.rnThis is the best indicator of the scarcity of agricultural land in the area. As a resultrnpeople have been forced to use marginal land. This is also the main factor to increasernbare/degraded land. To sum up the conclusion; land use/cover dynamics have beenrndetected and analyzed with the input data of landsat image using GIS to understandrnthe trend in short period of time, least cost and in effective manner. However, forrnsound decision making process, other data such as socio-economic should be usedrnand integrated in GIS.rnKey words: Land use/ cover Dynamics, Land Degradation (forest degradation),soil erosion Modeling, Remote Sensing and GIS