This study applied Synthetic Aperture Radar Interferometry (InSAR) to estimate terrain displacements using four Digital Elevation Models (DEMs). The InSAR workflow was implemented in a region located at southwestern of Colombia. The radar images were processed using ESA’s SNAP Toolbox, varying a DEM at the stages back-geocoding, topographic phase removal, and geometric correction. A SLC IW TOPSAR Sentinel-1 A/B radar images were analyzed between October 2014 and November 2016 for S1-A and between October 2016 and March 2017 for S-1B. Four SLC pairs were selected with the smaller perpendicular and temporal baseline for the displacement estimation. The work process implemented was, co-registering, interferogram formation, topographic phase removal, filtering, unwrapping phase and geocoding. The DEMs, SRTM3 (3 arc-second resolution), SRTM1 (1 arc-second resolution), PALSAR-RTC data and interpolation of contour lines at the scale of 1:25K (Topo-map) were used. Exploratory, paired-means and ANOVA analysis allowed to compare the distributions. Likewise, Principal Components Analysis method allowed establishing the relationship between the InSAR parameters - phase, coherence, unwrapped phase, and the displacement -. This analysis was complemented by Logistic Regression methods and Weight of Evidence. As a result of this study, we confirmed an inverse relationship between the unwrapped phase and displacement. Also, the coherence estimated from the four DEMs is highly correlated with the Colombian Geological Service landslide inventory. By WofE analysis, we found that coherence values between 0.43 and 0.67 are significantly related to landslide inventory, as well as displacement values between 0.14 and 0.19 m.