FN Archimer Export Format PT J TI Fusion of Sun-Synchronous and Geostationary Images for Coastal and Ocean Color Survey Application to OLCI (Sentinel-3) and FCI (MTG) BT AF PESCHOUD, Cecile MINGHELLI, Audrey MATHIEU, Sandrine LEI, Manchun PAIRAUD, Ivane PINAZO, Christel AS 1:1,2;2:1,2;3:3;4:1,2;5:4;6:5,6; FF 1:;2:;3:;4:;5:PDG-ODE-LITTORAL-LERPAC;6:; C1 Univ Toulon & Var, LSIS, CNRS, UMR 7296, Toulon 9, France. Aix Marseille Univ, CNRS, ENSAM, LSIS UMR 7296 13397, Marseille, France. Thales Alenia Space, F-06156 Cannes La Bocca, France. IFREMER, LERPAC, Ctr Mediterranee, Zone Portuaire Bregaillon CS 20 330, F-83507 La Seyne Sur Mer, France. Aix Marseille Univ, CNRS, INSU, IRD,MIO,UM110, F-13288 Marseille, France. Univ deToulon, CNRS, INSU, IRD,MIO,UM110, F-83957 La Garde, France. C2 UNIV TOULON, FRANCE UNIV AIX MARSEILLE, FRANCE THALES, FRANCE IFREMER, FRANCE UNIV AIX MARSEILLE, FRANCE UNIV TOULON, FRANCE SI TOULON SE PDG-ODE-LITTORAL-LERPAC IN WOS Ifremer jusqu'en 2018 copubli-france copubli-univ-france IF 2.777 TC 6 UR https://archimer.ifremer.fr/doc/00343/45413/49041.pdf LA English DT Article DE ;Fusion;image simulation;meteosat Third Generation (MTG);ocean color;Ocean and Land Color Instrument AB Open ocean and coastal area monitoring requires multispectral satellite images with a middle spatial resolution ({\sim !300 {text{m}}}) and a high temporal repeatability ({\sim !1 {text{h}}}) . As no current satellite sensors have such features, the aim of this study is to propose a fusion method to merge images delivered by a low earth orbit (LEO) sensor with images delivered by a geostationary earth orbit (GEO) sensor. This fusion method, called spatial spectral temporal fusion (SSTF), is applied to the future sensors—Ocean and Land Color Instrument (OLCI) (on Sentinel-3) and Flexible Combined Imager (FCI) (on Meteosat Third Generation) whose images were simulated. The OLCI bands, acquired at t _{0} , are divided by the oversampled corresponding FCI band acquired at t _{0} and multiplied by the FCI bands acquired at t _{1} . The fusion product is used for the next fusion at t _{1} and so on. The high temporal resolution of FCI allows its signal-to-noise ratio (SNR) to be enhanced by the means of temporal filtering. The fusion quality indicator ERGAS computed between SSTF fusion products and reference images is around 0.75, once the FCI images are filtered from the noise and 1.08 before filtering. We also compared the estimation of chlorophyll (Chl), suspended particulate matter (SPM), and colored dissolved organic matter (CDOM) maps from the fusion products with the input simulation maps. The comparison shows an average relative errors on Chl, SPM, and CDOM, respectively, of 64.6%, 6.2%, and 9.5% with the SSTF method. The SSTF method was also compared with an existing fusion method called the spatial and temporal adaptive reflectance fusion model (STARFM). PY 2017 PD JAN SO Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing SN 1939-1404 PU Ieee-inst Electrical Electronics Engineers Inc VL 10 IS 1 UT 000391719900004 BP 45 EP 56 DI 10.1109/JSTARS.2016.2558819 ID 45413 ER EF