Training course on the SBAS-DInSAR web tool for Earth surface deformation analysis

training course SBAS-DInSAR web toolIn the frame of the next AGU 2015 Fall meeting IREA-CNR organized a training event on “Training on the SBAS-DInSAR web tool for Earth surface deformation analysis through the ESA Geohazard Exploitation Platform”.

The event originates in the context of space-borne geodetic techniques, and will focus on Differential Synthetic Aperture Radar Interferometry (DInSAR), which has already demonstrated its capability to measure surface displacements in different conditions and scenarios. In particular, the advanced DInSAR time series processing methods, as for instance the Small BAseline Subset (SBAS) one that allows studying both the spatial and temporal variability of the surface displacements, have proven to be particularly suitable in different contexts, as for natural hazards (volcanoes, earthquakes and landslides) and human-induced deformation (subsidence due to aquifer exploitation, mining operations, and building of large infrastructures).

Recently, the IREA-CNR implementation of the SBAS algorithm has been fully integrated (http://goo.gl/KE9Qna) within the ESA's Grid Processing on Demand (G-POD) environment, which is part of the Geohazards Thematic Exploitation Platform (GEP) of ESA. The GEP is an R&D activity on the ESA EO ground segment to demonstrate the benefit of new techniques for large scale processing of EO data. This encompasses both user driven on-demand processing as well as systematic processing, to address common information needs of the geohazards community as a whole. Accordingly, the GEP is sourced with data, computing resources and processing tools, including SBAS-DInSAR, relevant to the geohazard theme.

The integration of the SBAS-DInSAR algorithm within GEP resulted in a web-based tool freely available to the scientific community. This tool allows users to process, from their own laptops, the European SAR data archives (ERS, ENVISAT and Sentinel-1) for obtaining surface displacement maps and time series in a completely unsupervised way, without caring about data download and processing facility procurements.

More information about the training event at https://www.eventbrite.com

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