In an area, the spatial and temporal variation of the various units of LULC of is the response of natural and socioeconomic factors and their spatially usage by human. This LULC differs from one type to another. The LULC change affect negatively the natural resources because the process is irreversible. Thus, the analysis of monitoring and quantitative of the changes in land use over time and identification of landscape pattern variation related to growth modes in different periods are essential. Change in land use is one of the difficult that exacerbate environmental problems. The complex and dynamical land use/land cover change at different scales has environmental implications. Previous studies investigated mainly the basic socioeconomic drivers of LULCC. Remote sensing is a central tool for making Land use and land cover maps via the classification from satellite images. For correct image classification, there are factors that could be considered which are: the accessibility of Landsat imagery quality and secondary data. Moreover, the accurate classification and the experiences from the users and expertise in the procedures are required. The chief aim of this work was to evaluate the land-use/land-cover change of the study zone from 1990-2016 applying remote sensing and Geographical Information System (GIS) techniques. This work comprises two parties (1) Land Use/Land Cover (LULC) classification and (2) the evolution of the spatiotemporal dynamics of the diverse units of LULC over the study area. The Envi 4.5 Software coupled with Arcgis was used to make the supervised Classification of Land Use Land Cover. Five dominant LULC classes, bareland, cultivated land shrubby savannah, herbaceous savannah and degraded savannah, were recognized in the catchment. The outcomes showed that the ration of cultivated land augmented to 14.9 % and bare land increased by 23.5 % however, the savannah classe decreased: degraded savannah by 10.32%, herbaceous savannah by 24.4%, and Shrubby Savannah by 3.6 %. The evaluated coefficient of kappa (K) was classified satisfactory with a range from 82% to 91 %. Savannah areas in studied catchment is converted to agricultural land and urban area due to human activities. The knowledge of the variation in terms pf time and space of the LULC change could be a management resources tool for the decision makers and prevent the natural risks. The results of this current research could help to well understanding the different water cycle components within the Koda catchment under a changing LULC.