Using Radar Satellite Data for Ground Deformation Monitoring: ATLAS In SAR

Radar satellite interferometry (InSAR) is a non-invasive surveying technique based on the exploitation of SAR images, able to measure millimetric motion of terrain structures over wide areas in both urban and non-urban environments.  Sixense processing chain, ATLAS, has been successfully used to detect and monitor ground motion in many different projects, cities and sectors to follow subsidence, heave, building stability and landslides amongst others. ATLAS reaches high density of measurement points, and covers large areas with high-resolution imagery, and weekly revisits. This presents a huge opportunity for the monitoring and management of infrastructures. However, the unprecedent spatial and temporal volume of InSAR measurements- which are only going to increase with new sensors to come- presents a challenge. Thus, ATLAS is in continuous development to efficiently extract characterized information of maximum benefit to end users by implementing different algorithms and AI methodologies over InSAR Big Data results to provide ready-to-use, actionable information.