<span style="font-family:Verdana;">Land-use change has been</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">a factor that alters the hydrologic response of the watersheds leading to influencing on sediment yield changes. This study is mainly focusing on the assessment of the impacts of the land-use changes on sediment load and lake depth reduction on Lake Ziway, Ethiopia using an integrated approach of Remote Sensing (RS), GIS and SWAT model. ERDAS IMAGINE 14 model was used to generate land-use maps from Landsat TM, ETM+, and Ls8 acquired, in 1988, 2002 and 2015 as representative for the periods of (1988</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">1998), (1998</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">2008) and (2008</span><span style="font-family:Verdana;">-</span><span style="font-family:;" "=""><span style="font-family:Verdana;">2018), respectively. The maximum likelihood algorithm of supervised classification applied to classify the </span><span style="font-family:Verdana;">basin land-use into seven land-use classes. The SWAT hydrological model</span><span style="font-family:Verdana;"> with ArcGIS interface setup for the basin to evaluate the flow and sediment load with calibration and validation performance of the model range R</span><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> (0.71 </span></span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;"> 0.89) and NSE (0.57 </span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;"> 0.87). As a result, the total average annual sediment yield from the sub-basins estimated as 3.59</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr, 4.36</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/ha/yr, and 4.89</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">t/