ABSTRACT Soil erosion is one of the most important problems affecting agricultural productivity. The Revised Universal Soil Loss Equation (RUSLE) is the most popular empirical-based model used globally for erosion estimation and control. Remote Sensing (RS) and Geographic Information System (GIS) techniques have become important tools as they evaluate erosion at larger scales due to the required amount of data and wider area coverage. In this study, the Crop factor (C), which is one of the important elements of RUSLE equation with CORINE 2018 database in Tekirdag province, was determined by using GIS techniques. Using the open source QGIS 3.14 software in the Regulated Universal Soil Loss Equation, topography in the region can be determined as a function of soil texture, land use, land cover, precipitation erosion, crop management and their application. Crop (C) factor of RUSLE varies between %0.27-%64.69 under Tekirdag conditions.