Modeling and Predicting Land Use/Land Cover Change Using the Land Change Modeler in the Suluh River Basin, Northern Highlands of Ethiopia

Land use and land cover change are among the drivers of environmental change. The Suluh River Basin’s modeled in this study using a modeler. To accomplish goals study, Landsat images ancillary data sources were utilized. In eCognition Developer 9.2 software, nearest neighbor fuzzy classification was used to classify images. With IDRISI Selva 17.3 detection modeling carried out. Both qualitative quantitative analyses conducted. results showed that, despite drop forest 97.2%, grazing 89.8%, plantation 89.1%, shrub-bush 1.5%, water bodies 84.8% from 1990 2002, bare increased by 10.6%, built-up 29.4%, cultivated 65.4%. model projects, bare, built-up, will increase at cost bodies, grazing, forest, shrub-bush, between years 2028 2048. Rainfall, slope, height, distance rivers, highways, towns, population density main determinants LULC area. Therefore, order promote sustainable development, safeguard river basin, lessen severity changes, appropriate management timely action must be taken policymakers decision makers.