Despite the harmful effects of invasive species, the mechanisms behind the invasion andrndynamics of invasive alien species are poorly understood in Ethiopia. Geographical InformationrnSystems are emerging as valuable and cost-effective tools for understanding invasion dynamicsrnand prioritizing management efforts these days. Moreover, remote sensing is the only practicalrnmethod to acquire spatially and temporal detailed data over a large area. Because images can bernacquired multiple times and provides a way to directly assess changes over time. This study wasrndone in Amibara woreda in the Afar National Regional State. The objectives were: to evaluaternthe land-use/land cover change in the last two decades, examine the spatial distribution ofrnP. juliflora in the study area, assess the temporal dynamics of P. juliflora invasion and torndetermine the rate of invasion, and identify the land-use/land cover types which are affected byrnP. juliflora and explore the possible causes. Post classification comparison change detectionrnscheme was employed to discriminate spatial and temporal invasion of P. juliflora between 1986rnand 2007. The invaded land which was 769 ha in 1986 changed to 3,849 ha by 2001 and highlyrnincreased to 11,579 ha by 2007 year. During this period, almost all the land-use/land cover hasrnbeen invaded by P. juliflora. Shrub land was the most affected land-use/land cover having 2,742rnha area invaded by P. juliflora. Between 2001-2007, the overall change of all other land use/landrncover to P. juliflora invaded land have showed at least two fold increase than during 1986-2001rnperiod except the cultivated land that was reduced by half in percent invasion. Hence, the rate ofrnchange from other land-use/land cover to invaded land has shown an increasing pattern in 0.06%rnarea per year in 1986-2001 to 0.37% per year of the study area in 2001-2007. If this situationrncontinues with out proper management it will not take longer to see these areas reaching atrnclimax invasion, where it reaches impossible to think of management. The consequence will notrnonly be of the Woreda level or Regional level but also at the National level. Hence, a GIS Modelrnand Remote Sensing application in order to show further risk zone and its invasion driving forcesrnshould be carried out in the area. This helps to plan an immediate control and managementrnoptions and strong policy to organize different stakeholders starting from lower level to regionalrnlevel on the invasive species P. juliflora.rnKey words: ASTER, Landsat, invasive species, invaded land, livelihood, land-use/land cover