Remote Sensing | |
FLATSIM: The ForM@Ter LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service | |
Joëlle Donadieu1  Bernard Specht1  Philippe Durand1  Catherine Proy1  Dominique Clesse2  Elisabeth Pointal3  Emilie Deschamps-Ostanciaux3  Raphaël Grandin3  Cécile Lasserre4  Christophe Laurent5  Erwan Pathier5  Franck Thollard5  Marie-Pierre Doin5  | |
[1] CNES: Centre National d’Études Spatiales, 75039 Toulouse, France;Capgemini, Technologies et Services de l’information, 92130 Paris, France;Institut de Physique du Globe de Paris, Université de Paris, CNRS, 75005 Paris, France;Univ Lyon, Univ Lyon 1, ENSL, CNRS, LGL-TPE, 69622 Villeurbanne, France;Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France; | |
关键词: InSAR; Sentinel-1; automatic processing; time series analysis; deformation monitoring; tectonics; | |
DOI : 10.3390/rs13183734 | |
来源: DOAJ |
【 摘 要 】
The purpose of the ForM@Ter LArge-scale multi-Temporal Sentinel-1 InterferoMetry service (FLATSIM) is the massive processing of Sentinel-1 data using multi-temporal interferometric synthetic aperture radar (InSAR) over large areas, i.e., greater than 250,000 km2. It provides the French ForM@ter scientific community with automatically processed products using a state of the art processing chain based on a small baseline subset approach, namely the New Small Baseline (NSBAS). The service results from a collaboration between the scientific team that develops and maintains the NSBAS processing chain and the French Spatial Agency (CNES) that mirrors the Sentinel-1 data. The proximity to Sentinel-1 data, the NSBAS workflow, and the specific optimizations to make NSBAS processing massively parallel for the CNES high performance computing infrastructure ensures the efficiency of the chain, especially in terms of input and output, which is the key for the success of such a service. The FLATSIM service is made of a production module, a delivery module and a user access module. Products include interferograms, surface line of sight velocity, phase delay time series and auxiliary data. Numerous quality indicators are provided for an in-depth analysis of the quality and limits of the results. The first national call in 2020 for region of interest ended up with 8 regions spread over the world with scientific interests, including seismology, tectonics, volcano-tectonics, and hydrological cycle. To illustrate the FLATSIM capabilities, an analysis is shown here on two processed regions, the Afar region in Ethiopa, and the eastern border of the Tibetan Plateau.
【 授权许可】
Unknown