D-insar based ground subsidence evaluation of different topographical sites with sentinel-1A/B platforms

The compaction of subsoil by ground water extraction is a global problem. Satellite synthetic aperture radar (SAR) scenes using differential interferometric synthetic aperture radar (D-InSAR) are analysed to study groundwater extraction induced subsidence in Mexico City. Sentinel-1 sensor data acquired for the analysis between the months of June and September for the year 2016 and 2017. The achieved information corresponds to the subsidence velocity is of −28.32 cm/year in Mexico City. The maximum land subsidence of -7.45 cm in 2016 and -6.35 cm in 2017 is predicted which supports more than 30 cm annual subsidence claimed by other authors. In Gulaba-Marhi landslide prone region of Himachal Pradesh sentinel-1 data between June and July for the year 2017 and 2018 is processed with the same processing parameters to know the impact of vegetation, geographical conditions and coherence on the deformation detection. Landslide deformation analysis in Gulaba-Marhi region has shown subsidence between -2.93 cm to -8.26 cm in June-July 2017 and between -1.35 cm and -6.39 cm in June-July 2018. Some new displacement points have appeared in the year 2018. Dense vegetation, slope orientation and low coherence of image data has greatly affected the reliability of results.