Nowadays, this can be achieved by shortening the time period to hours instead of months with the available satellite constellation, depending on the location. InSAR measurements based on X-band Cosmo-SkyMed (CSK) and C-band S-1 satellites were compared with those obtained using the diagnostic train. PS-InSAR analyses were performed using the SARPROZ(r) version 2020 software, which is the abbreviation for the SAR PROcessing tool by periZ. Twenty (20) ascending direction CSK SAR images acquired from 15 December 2017 to 5 December 2019 were processed over Konya. Additionally, eighty-eight (88) images were retrieved in descending directions spanning from 11 December 2017 to 13 November 2020 for S1-B. In the last dataset, fifty-four (54) ascending mode S1-B SAR images, taken between 5 December 2017 and 7 December 2019, were analyzed. Considering the previous studies conducted in the region using the InSAR technique, for example, [PERSON] et al. used GNSS locations and groundwater level variations to study the Konya region, and they found that GNSS displacements might reach \(-5\) cm/yr [26]. While [PERSON] et al. used the PS-InSAR technique and obtained displacement results ranging from \(-4\) to \(-6\) cm/yr in Konya's city center, [PERSON] et al. used the DInSAR technique between 2002 and 2009, and they reported displacements of \(-3.4\) cm/yr in Konya [27; 28]. Using the SBAS technique, [PERSON] et al. found a deformation value of \(-1.5\) cm/yr in the Konya plain between 2002 and 2010. [PERSON] et al. reported land subsidence values reaching 11 cm/yr between 2014 and 2019 using Envisat-ALOS and S-1A/B images [29; 30]. Moreover, [PERSON] found deformation values of up to \(-7.5\) cm/yr in Konya between 2014 and 2018. In conclusion, according to the findings obtained from these studies for the Konya region, intense subsidence has been detected, and this situation has been associated with a rapid decrease in the groundwater level, as noted in some of these previous studies [31]. There are a total of three study areas within a 30 km length: a subsidence area, a stable region, determined using data from the diagnostic train and reports from the maintenance department between 2017 and 2019, and a third type, which lacks data from the train and is therefore analyzed only with the InSAR technique. The primary objective of this study is to identify a deformed region and a secondary region that remains stable, detected through the diagnostic train using the InSAR approach. Subsequently, the correlation between these two different techniques is examined based on the obtained results. The acquired strong correlation values highlight the benefits and advantages of utilizing InSAR as a reliable secondary measurement for monitoring subsidence in railways. Furthermore, based on the knowledge acquired in this study, a flow chart outlining the application phases of the InSAR technology, specifically adapted to the unique construction, maintenance, and repair needs of railways, is also provided. This paper is organized as follows. First, the study area, its brief geological characteristics, and the measurement techniques are described in Section 2. Then, the InSAR results from both C-band and X-band datasets are reported in Section 3. In Section 4, the results, comparisons between the datasets, and their correlations are explained. Following this section, discussion and suggestions are presented in Section 5, along with an InSAR analysis evaluation proposal developed specifically for deformation monitoring on railways. Finally, a conclusion is given in Section 6.