## 1 Introduction  
The measurement of surfaces in terms of deformation by means of satellite data acquisition techniques provides the opportunity to establish this behavior of the terrain without direct action on the surface and with a high level of reliability of the data obtained. These deformation conditions are associated with endogenous and exogenous factors of terrestrial nature, where tectonic and structural activity (endogenous), and climatic and anthropic conditions (exogenous) generate significant changes on surfaces. These states of change are measurable through the processing of satellite images, where, with a temporal development, a series of deformation data can be obtained that can be correlated spatially and temporally with the internal and external factors of the earth that could have generated these states of change. In this context, the analysis of these degrees of deformation can be carried out through the observation and processing of satellite images where information is obtained indirectly from the surfaces, but with great precision and resolution, depending on the field of research in which it is developed [1]. In this sense, the analysis of the behavior of surfaces by means of the construction of time series allows us to follow the evolution of the deformation, which, in turn, can be related to the endogenous causative factors [2, 3, 4]. For the construction of these time series, images obtained using radar sensors in active remote sensing are used, such as Synthetic Aperture Radar (SAR) images, on which a Synthetic Aperture Radar Differential Interferometry (DInSAR) technique is performed to obtain these degrees of deformation sequentially or multi-temporally [5; 6]. Interferometry is the result of the difference between the phases of two images with different positions and depending on the corrections and adjustments in the processing of the images due to atmospheric, topographic and vegetation factors, among others, improves the accuracy of the interferometric result, since these factors alter the phase of the signal [1; 7; 8; 9]. Also, to obtain the best result within the processing of the images, the Small Baseline Subset (SBAS) technique is used, where both the temporal and spatial orbital separation of a short way (baseline) is used to minimize the decorrelation and maximize the number of coherent targets detected in the ground [2]. In the construction of these differential interferograms, radar images are used that have been obtained via different satellite constellations such as COSMO-SkyMed-CSK (Italian), TerraSAR-X-TSX (German) or Sentinel-1, the latter of which is part of the Copernicus Earth Observation program of the European Space Agency (ESA). As a reference point, the images of the Copernicus constellation will be used for this research because the constellation provides freely accessible and open data with a high spatial resolution of 5-20 m for Interferometric Wide Swath (IV) [10]. The Copernicus constellation was launched in April 2014 and has two satellites (Sentinel 1A and 1B) that carry C-band SAR instruments on board and orbit the Earth. These satellites are 180\({}^{\circ}\) apart and capture images of the Earth's surface every six days. C-band SAR images have a wavelength (\(\lambda\)) within the microwave electromagnetic spectrum between 3.8 and 7.5 cm and frequencies between 4 and 8 GHz, which generate a signal penetration field in areas of forest cover (vegetation canopy) or on dry surfaces up to 5 cm; this provides greater capability for SAR measurement of the differential interferogram [11; 12].