The thesis describes application of GIS in analyzing land cover and estimating size and location of the impervious surfaces as the input spatial data for surface runoff estimation. Study area is the University Campus located in the City of Rijeka. Spatial data is mainly derived from the digital ortophoto and GIS software used for that purpose is QGIS. Classification of the ortophoto is the process that assigns appropriate land cover classes to the specific features/polygons, based on the classification scheme defined according to the Corine Land Cover nomenclature and adjusted to the specific characteristics of the study area. The process resulted in estimating the area size of each land cover class as well as its contribution to the total study area. An emphasis is given to the impervious surfaces that cover approximately 43 % of the total area. Depending on the land cover characteristics as well as hydrologic characteristics, each polygon is assigned with the specific Curve Number (CN) value, according to the SCS runoff curve number method. Analysis of the CN spatial distribution showed that the most significant portion of the area is covered with the impervious surfaces i.e. surfaces having high CN value. Conducted analysis confirmed the adequacy of using GIS in analyzing spatial phenomenon, in this case land surface characteristics, and preparing spatial data needed for surface runoffestimation. However, it must be noted that described procedure gives only approximate results: ortophoto has certain limitations regarding precision in defining boundaries of the land cover classes. Hence it is necessary to verify the results with the actual situation in the field.