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InSAR Coherence Analysis for Wetlands in Alberta, Canada Using Time-Series Sentinel-1 Data

FLATSIM: The [email protected] LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service

Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France
Capgemini, Technologies et Services de l’information, 92130 Paris, France
CNES: Centre National d’Études Spatiales, 75039 Toulouse, 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
Author to whom correspondence should be addressed.
Academic Editor: Dinh Ho Tong Minh
Remote Sens. 2021, 13(18), 3734;
Received: 14 July 2021 / Revised: 9 September 2021 / Accepted: 13 September 2021 / Published: 17 September 2021
(This article belongs to the Special Issue Radar Interferometry in Big Data Era)
The purpose of the [email protected] 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 [email protected] 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. View Full-Text
Keywords: InSAR; Sentinel-1; automatic processing; time series analysis; deformation monitoring; tectonics; subsidence InSAR; Sentinel-1; automatic processing; time series analysis; deformation monitoring; tectonics; subsidence
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MDPI and ACS Style

Thollard, F.; Clesse, D.; Doin, M.-P.; Donadieu, J.; Durand, P.; Grandin, R.; Lasserre, C.; Laurent, C.; Deschamps-Ostanciaux, E.; Pathier, E.; Pointal, E.; Proy, C.; Specht, B. FLATSIM: The [email protected] LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service. Remote Sens. 2021, 13, 3734.

AMA Style

Thollard F, Clesse D, Doin M-P, Donadieu J, Durand P, Grandin R, Lasserre C, Laurent C, Deschamps-Ostanciaux E, Pathier E, Pointal E, Proy C, Specht B. FLATSIM: The [email protected] LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service. Remote Sensing. 2021; 13(18):3734.

Chicago/Turabian Style

Thollard, Franck, Dominique Clesse, Marie-Pierre Doin, Joëlle Donadieu, Philippe Durand, Raphaël Grandin, Cécile Lasserre, Christophe Laurent, Emilie Deschamps-Ostanciaux, Erwan Pathier, Elisabeth Pointal, Catherine Proy, and Bernard Specht. 2021. "FLATSIM: The [email protected] LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service" Remote Sensing 13, no. 18: 3734.

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