This work was conceived for assessing the potential of the Copernicus DEM (CopDEM) dataset to identify (flash) flood-prone areas by using a geomorphological approach. This dataset is distributed in different instances (named: EEA-10, GLO-30, GLO-90) characterized by different pixel sizes/spatial coverages/licenses (EEA-10: 10&12 m/European/restricted; GLO-30: 30 m/global/public; GLO- 90: 90 m/global/public). The analysis compared the performances of the different instances for the abovementioned application. An exemplifying Mediterranean catchment located in Italy was used as test area. Results showed that the CopDEM dataset was successfully capable of identifying (flash) flood-prone areas. The best results were obtained by the EEA-10 and GLO-30 instances. The analysis also highlighted the importance of the GLO-30 instance to map flood prone-areas, as it is freely and globally available. Moreover, the GLO-30 instance outperformed other freely available DEMs distributed with a pixel size of 30 m (i.e., ALOS AW3D30, ASTER GDEM, SRTM) that were analyzed for comparative purposes.