Land use/land cover (LULC) change is one of the challenges which strongly influencernthe process of agricultural development. The study intended to carry out land use /landrncover changes, trends and their magnitude over the last 40 years using remote sensingrnand GIS and establish the main drivers of land use /land cover change in Ofla wereda ofrnTigray region.rnFor the identification of land use/ land cover change landsat imagery of 1972, 1986 andrn2013 were used to determine the change in land use/land cover using object basedrnclassification. In establishing the main drivers of land use/land cover change, the studyrnutilized household questionnaire and a focus group discussion. A total of 362 respondentsrnwere randomly selected from the kebeleâ€™s where the land use/land cover change for thernlast 40 years is more than 60%, accordingly Sasela, Zata and Guara Kebeles werernselected which satisfies the criteria. The object based classification result revealed that inrn1972 MSS Landsat imagery, crop land (35.8%), grass land (19%), Forest land (43.7%)rnand water body (1.5%) were identified with their respective percentage. The changernresult showed a rapid reduction in forest cover of -49.2% and +18% increase occurredrnbetween the first (1972-1986) and second (1986-2013) study periods, respectively.rnSimilarly water body decreased by -11.1% during the first and increased by +9.3% duringrnthe second period. On the contrary, crop land increased in the two periods by 31.7 % andrn13.8% respectively.rnThe analysis of the last 40 years in the study area revealed that about 48% of thernlandscape showed changes in LULC. Changes were also analyzed in relation to slope andrnagro ecological zone and it showed that in 1972, more than 69.2 % of the crop areas fallrnbelow 20Â° slope but in 2013 the percentage declined to 54.5% for the same slopernindicating agriculture is expanding to the steep slopes and regarding agro ecological zonernwoina dega is more prone to change in the study area. From the analysis of the sociorneconomic situation of households to identify the underlying causes of the change in landrnuse/land cover, population growth and land tenure insecurity were identified as the majorrnunderlying causes. This study generally has shown that the recent advancement in spatialrntechnology can provide a sound mechanism to quantify change at any scale.rnKeywords: GIS, LULC, MSS, Remote Sensing