# FLATSIM: The ForM@Ter LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service  
[PERSON]  
1 Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France; [EMAIL_ADDRESS] (M.-P.D. ); [EMAIL_ADDRESS] (C.L. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
2 Capgemini, Technologies et Services de l'Information, 92130 Paris, France; [PERSON](C.NES: Centre National d'Etudes Spatiales, 75039 Toulouse, France; [PERSON](J.D. ); [PERSON]] (P.D. ); [PERSON]] (C.P. ); [PERSON]] (B.S.) [PERSON]  
1 Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France; [EMAIL_ADDRESS] (M.-P.D. ); [EMAIL_ADDRESS] (C.L. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) [PERSON]  
4 Institut de Physique du Gole de Paris, Universite de Paris, CNRS, 75005 Paris, France; [EMAIL_ADDRESS] (R.G. ); [EMAIL_ADDRESS] (F.D.-O. ); [EMAIL_ADDRESS] (E.P.) Univ Lyon, Univ Lyon 1, ENSL, CNRS, LGL-TP, 69622 Villeurbanne, France; [EMAIL_ADDRESS]  
LArge-Scale Multi-Temporal Sentinel-1 InterferoMetry Service. take advantage of numerous and partially redundant SAR acquisitions both to enhance the reliability of the phase delay measurement and to better separate contributions to the ground displacement from atmospheric perturbations in the radar wave travel time. As a result, MTInSAR has been able to quantify large-scale, slow and transient natural processes, as, for example, postseismic relaxation following earthquakes, interseismic loading of fault [8; 9; 10], fault creep bursts [11; 12; 13], slow earthquakes [14], permafrost freeze-thaw dynamics [15], gravitational sliding of volcano flanks [16; 17], or the earth visco-elastic response to lake load changes [18; 19]. Time series analysis of these phenomena were made possible by the availability of numerous repeated SAR images, acquired with the exact same sensor and similar viewing geometries on relatively narrow orbital tubes, and over at least 5 years. This was, for example, the case for the ERS-1, ERS-2, and ENVISAT missions of the European Space Agency in C-band or the ALOS-1 mission by JAXA in L-band. However, due to the limited revisit time or the limitations of the acquisition strategies, the processed time series were, in most places, made of typically 15 to 20 acquisitions for ALOS-1 (e.g., [20]) and up to about 40 to 80 acquisitions for ERS/Envisat (e.g., [11; 18]). Data gaps, or limited access to the whole data archive, made the continental-wide processing with these data quite challenging. However, a few large-scale studies have shown the feasibility of large-scale InSAR processing for tectonic applications [21; 22; 23].