## 1 Introduction  
In addition to damages caused by hazardous earthquake, another significant repercussion of earthquake is land displacement. Most visible deformations are found over the faults forming surface ruptures. Nevertheless, the displacements invisible to the naked eye but still occurring are the ground displacements that can be determined by surveying techniques. Since the displacements can result in shifts on the scale from millimeter to meter, they are relevant to be observed and estimated.  
Optimal estimation of surrounding area displacement can be made by precise leveling, static GPS measurements and other precise geodetic field works. However, the mentioned techniques are time-consuming and always challenging in terms of funding. In the meantime, until the field works are carried out, satellite images are of a great relevance providing almost immediate first response to such occurrence.  
In the last decade, Satellite Aperture Radar (SAR) has become a well established measurement technique, suitable for different applications due to its possibility to observe and record the Earth surface regardless of the weather or clouds. The satellites equipped with SAR record images of the Earth's surface by emitting radar signal along the radar's beam line of sight (LOS) [1]. SAR satellites are continuously circling around the globe, in the ascending and descending orbits, providing multiple spatio-temporal images that provide thousands of images over the same area in different time periods. Repetition of images over an identical area results in detection of land changes. A significant property of the SAR technology is the phase value. Throughout the phase information mapped on the interferograms, deformations due to large earthquakes can be detected and main faults revealed. Some of the studies mentioned in [2] use SAR interferometry (InSAR) to detect the displacement related to land subsidence [3], earthquakes ([4; 5; 6]), highway deformation [7] and similar land displacements ([8], anthropogenic deformation phenomenon [9; 10]), or urban change ([11; 12]). It has also been proved by a recent study [13] that InSAR measurements produce noise, but the noise can be reduced without the loss of significant data information by applying the processing techniques. Many recent studies have focused to the usage of SAR technology in the estimation of ground deformation after large earthquakes: Reference [14] estimated the land displacement but without detecting the active major faults; Reference [15] highlighted the need to consider the coherence change analysis and identify the limitations of the SAR applications; others ([16; 17; 18; 19; 20]) estimated earthquake's impact assessment based on the data derived from SAR. Furthermore, the SAR technique is now used for the study of earthquakes and has been applied around the World ([21; 22; 23; 24; 25]) and in Europe ([26; 27; 28]).  
Considering the mentioned recent studies and parameters to be considered in appliance of SAR images for earthquake's impact assessment, the area of interest in this study is free of heavy vegetation, and the coherence maps were used to minimize the atmosphere effect. In this paper, we present the usage of multiple SAR satellite images acquired in the period before and after the earthquake, in order to map the ground deformation and displacement caused by the earthquake of magnitude \(M_{w}=6.2\). The output of SAR interferometry is LOS displacement that can be converted to vertical and west-east displacement, estimating the ground displacement. Therefore, we have analyzed SAR and GNSS data and compared them to geological data, confirming the existence of two main faults over the affected area and deriving the estimation of surface deformation of the surrounding area.