seanoe:62691 LUBAC Bertrand University of Bordeaux, UMR 5805 EPOC, Allée Geoffroy St Hilaire, Pessac, FRANCE 2021-05-12 ISO 19115:2003/19139 1.0 High resolution suspended particulate matter maps generated from landsat-8/OLI and sentinel-2/MSI data in the gironde estuary 2019-09-25 2021-05-12 Normandin Cassandra, Lubac Bertrand, Sottolichio Aldo, Frappart Frederic, Ygorra Bertrand, Marieu Vincent (2019). High resolution suspended particulate matter maps generated from landsat-8/OLI and sentinel-2/MSI data in the gironde estuary. SEANOE. https://doi.org/10.17882/62691 In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication : Normandin C., Lubac B., Sottolichio A., Frappart F., Ygorra B., Marieu V. (2019). Analysis of suspended sediment variability in a large highly‐turbid estuary using a 5‐year‐long remotely‐sensed data archive at high resolution. Journal of Geophysical Research: Oceans, -. https://doi.org/10.1029/2019JC015417 Gironde estuary environmental parameters and SPM maps generated from 41 Landsat-8/OLI and Sentinel-2/MSI images acquired over the period 2013-2018. Except bathymetry and daily river discharge data, that are accessible on public platforms, the dataset includes all of the time seris used in the publication: Analysis of suspended sediment variability in a large highly-turbid estuary using a 5-year-long remotely-sensed data archive at high resolution, Journal of Geophysical Research: Oceans, DOI:10.1029/2019JC015417. NORMANDIN Cassandra University of Bordeaux, UMR 5805 EPOC, Allée Geoffroy St Hilaire, Pessac, FRANCE LUBAC Bertrand University of Bordeaux, UMR 5805 EPOC, Allée Geoffroy St Hilaire, Pessac, FRANCE SOTTOLICHIO Aldo University of Bordeaux, UMR 5805 EPOC, Allée Geoffroy St Hilaire, Pessac, FRANCE FRAPPART Frederic Université de Toulouse, CNES, CNRS, IRD, UPS, Observatoire Midi Pyrénées, LEGOS, 14 Avenue Edouard Belin, 31400 Toulouse, FRANCE YGORRA Bertrand University of Bordeaux, UMR 5805 EPOC, Allée Geoffroy St Hilaire, Pessac, FRANCE MARIEU Vincent University of Bordeaux, UMR 5805 EPOC, Allée Geoffroy St Hilaire, Pessac, FRANCE SEANOE https://www.seanoe.org/data/00515/62691/illustration.gif T_mode PCA applied to 41 Gironde estuary SPM maps generated from Landsat-8/OLI and Sentinel-2/MSI data over the period 2013-2018. First (a), second (b), and third (c) principal components explaining 43.5%, 15.0%, and 7.2% of the total variance, respectively. Component scores are normalized and vary between -1 and +1. Gironde esturay Ocean color Landsat-8/OLI Sentinel-2/OLI SPM PCA Physical oceanography Sedimentary fluxes Suspended matter ODATIS aggregation parameters and Essential Variable names 2024-09-16 geonetwork.thesaurus.external.theme.NVS.OD1 Physical oceanography SeaDataNet Parameter Disciplines 2021-04-07 geonetwork.thesaurus.external.parameter.NVS.P08 /Observational data/in-situ Type de jeux de donnée ODATIS 2024-10-15 geonetwork.thesaurus.local.theme.type_jeux_donnee CC0 (Creative Commons - Transfer into public domain) Analysis of suspended sediment variability in a large highly‐turbid estuary using a 5‐year‐long remotely‐sensed data archive at high resolution 2019 American Geophysical Union (AGU) Normandin C. Lubac B. Sottolichio A. Frappart F. Ygorra B. Marieu V. 10.1029/2019JC015417 oceans -1.345825 -0.12085 44.768874 45.731784 CSV https://www.seanoe.org/data/00515/62691/data/67078.csv WWW:DOWNLOAD-1.0-link--download Processed data Gironde estuary SPM maps generated from Landsat-8/OLI and Sentinel-2/MSI data - 134 MB https://www.seanoe.org/data/00515/62691/data/67079.csv WWW:DOWNLOAD-1.0-link--download Processed data Environmental parameters associated with Landat-8/OLI and Sentinel-2/MSI images - 5 KB https://doi.org/10.17882/62691 WWW:LINK-1.0-http--metadata-URL DOI of the product https://www.seanoe.org/data/00515/62691/ rel-canonical Seanoe A full description of sensors and methods used to generate the dataset can be found in the publication: Analysis of suspended sediment variability in a large highly-turbid estuary using a 5-year-long remotely-sensed data archive at high resolution, Journal of Geophysical Research: Oceans, DOI:10.1029/2019JC015417.