Our remote sensing specialists have extensive knowledge in the most advanced radar interferometric techniques and experience in structural and ground movement projects. Our combination of geotechnical and satellite radar expertise provides optimal solutions for our clients.
Structural and ground movement measurements are useful for a wide range of applications including:
Fujairah – Dubai Freeway
Geofem was commissioned to perform an interferometric analysis of the Fujairah Freeway which connects Dubai in the west to Al Fujairah on the east coast in the United Arab Emirates, using satellite Synthetic Aperture Radar data. Analyses were performed using Persistent Scatters covering the period between December 2014 to November 2018. Displacement estimates were decomposed into vertical and horizontal directions.
Monitoring of Dams
Geofem performed Persistent Scatterer Interferometry analysis (PSI) on Kourris Dam in Cyprus. Dams are generally good scatterers giving highly accurate displacement results. Analysis between 2014 and 2018 showed movements matching those obtained at discrete points by in situ measurements. The big advantage with the remote PSI technique is that many points can be monitored, at regular intervals (every 6 days) at very low cost compared with in situ monitoring.
Monitoring of Infrastructure
Satellite data can help to monitor large urban areas for ground movement, mapping and land cover changes using change detection techniques. Critical infrastructure monitoring using satellites has become more and more popular for both economic and safety reasons. At Geofem we apply different techniques for monitoring the movement of buildings and infrastructure.
Urban centre UK
Geofem performed a PSI analysis in an urban area in the UK for monitoring structural movements. InSAR enables sub-millimetric accuracy of vertical and horizontal displacement of large pixels, identifying patterns of movement in urban areas.
Road network monitoring
A study of a road infrastructure network was performed using the SBAS technique for a dataset covering the period 2016 to 2018. This enabled the identification of road network corridors with higher displacement values to prioritise maintenance operations.