|Paper title||On-demand services for Sentinel-2 and Pléiades processing: application to ground motion analyses|
|Form of presentation||Poster|
In the framework of the French research infrastructure Data Terra, the Solid Earth data and services centre named ForM@Ter has developed processing services available on its website.
ForM@Ter aims to facilitate data access and to provide processing tools and value-added products with support for non-expert users. Among the ForM@Ter’s scientific topics, one focuses on surface deformation from SAR and optical data. The associated services are implemented considering the needs expressed by the scientific community to support the use of the massive amount of data provided by satellites missions. This massive influx of data requires new processing schemes, and significant computing and storage facilities not available to every researcher.
The objective of this work is to present the on-demand services GDM-OPT and DSM-OPT tailored for the application of Sentinel-2 and Pléiades data for researchers.
GDM-OPT (Ground Deformation Monitoring with OPTical image time series) enables the on-demand processing of Sentinel-2 image time series (from PEPS, the French Collaborative ground segment for Copernicus Sentinel program operated by CNES). It is declined in three services according to target scientific applications : monitoring landslide persistent motion; Earthquake-triggered crustal deformation; monitoring glacier and ice sheet persistent motion.
DSM-OPT (Digital Surface Models from OPTical stereoscopic very-high resolution imagery) allows the generation of surface models and ortho-images from Pléiades stereo- and tri-stereo acquisitions.
These services are accessible for the French science community on ForM@Ter website and for the international science community and other users on the Geohazards Exploitation Platform (GEP/ESA).
They build on the MicMac (IGN/Matis; Rosu et al., 2015 ; Rupnik et al., 2016, 2017), GeFolki (ONERA; Brigot et al., 2016), CO-REGIS (CNRS/EOST; Stumpf et al., 2018), MPIC (Stumpf et al., 2014), TIO (CNRS/ISTerre; Bontemps et al., 2017) and FMask (Texas Tech University; Qiu et al., 2019) algorithms. They are deployed on the high-performance infrastucture A2S hosted at the Mesocentre of University of Strasbourg and were setup with the support of ESA, CNES and CNRS/INSU.
A demonstration of these services will be given as well as a presentation of their architecture, operation and of several use case examples.