{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T03:53:27Z","timestamp":1790826807046,"version":"4.1.0"},"reference-count":61,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,1,12]],"date-time":"2017-01-12T00:00:00Z","timestamp":1484179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European FP7","award":["606797"],"award-info":[{"award-number":["606797"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The accurate measurement of suspended particulate matter (SPM) concentrations in coastal waters is of crucial importance for ecosystem studies, sediment transport monitoring, and assessment of anthropogenic impacts in the coastal ocean. Ocean color remote sensing is an efficient tool to monitor SPM spatio-temporal variability in coastal waters. However, near-shore satellite images are complex to correct for atmospheric effects due to the proximity of land and to the high level of reflectance caused by high SPM concentrations in the visible and near-infrared spectral regions. The water reflectance signal (\u03c1w) tends to saturate at short visible wavelengths when the SPM concentration increases. Using a comprehensive dataset of high-resolution satellite imagery and in situ SPM and water reflectance data, this study presents (i) an assessment of existing atmospheric correction (AC) algorithms developed for turbid coastal waters; and (ii) a switching method that automatically selects the most sensitive SPM vs. \u03c1w relationship, to avoid saturation effects when computing the SPM concentration. The approach is applied to satellite data acquired by three medium-high spatial resolution sensors (Landsat-8\/Operational Land Imager, National Polar-Orbiting Partnership\/Visible Infrared Imaging Radiometer Suite and Aqua\/Moderate Resolution Imaging Spectrometer) to map the SPM concentration in some of the most turbid areas of the European coastal ocean, namely the Gironde and Loire estuaries as well as Bourgneuf Bay on the French Atlantic coast. For all three sensors, AC methods based on the use of short-wave infrared (SWIR) spectral bands were tested, and the consistency of the retrieved water reflectance was examined along transects from low- to high-turbidity waters. For OLI data, we also compared a SWIR-based AC (ACOLITE) with a method based on multi-temporal analyses of atmospheric constituents (MACCS). For the selected scenes, the ACOLITE-MACCS difference was lower than 7%. Despite some inaccuracies in \u03c1w retrieval, we demonstrate that the SPM concentration can be reliably estimated using OLI, MODIS and VIIRS, regardless of their differences in spatial and spectral resolutions. Match-ups between the OLI-derived SPM concentration and autonomous field measurements from the Loire and Gironde estuaries\u2019 monitoring networks provided satisfactory results. The multi-sensor approach together with the multi-conditional algorithm presented here can be applied to the latest generation of ocean color sensors (namely Sentinel2\/MSI and Sentinel3\/OLCI) to study SPM dynamics in the coastal ocean at higher spatial and temporal resolutions.<\/jats:p>","DOI":"10.3390\/rs9010061","type":"journal-article","created":{"date-parts":[[2017,1,12]],"date-time":"2017-01-12T10:02:08Z","timestamp":1484215328000},"page":"61","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":202,"title":["Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters"],"prefix":"10.3390","volume":"9","author":[{"given":"St\u00e9fani","family":"Novoa","sequence":"first","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anographie de Villefranche, UMR7093 CNRS\/UPMC, 181 Chemin du Lazaret, 06230 Villefranche-sur-Mer, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Doxaran","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anographie de Villefranche, UMR7093 CNRS\/UPMC, 181 Chemin du Lazaret, 06230 Villefranche-sur-Mer, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anouck","family":"Ody","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Oc\u00e9anographie de Villefranche, UMR7093 CNRS\/UPMC, 181 Chemin du Lazaret, 06230 Villefranche-sur-Mer, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quinten","family":"Vanhellemont","sequence":"additional","affiliation":[{"name":"Royal Belgian Institute of Natural Sciences, Brussels 1000, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Virginie","family":"Lafon","sequence":"additional","affiliation":[{"name":"GEO-Transfert, UMR 5805 Environnements et Pal\u00e9o-environnements Oc\u00e9aniques et Continentaux (EPOC), Universit\u00e9 de Bordeaux, All\u00e9e Geoffroy Saint-Hilaire, 33615 Pessac, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bertrand","family":"Lubac","sequence":"additional","affiliation":[{"name":"UMR CNRS 5805 EPOC, OASU, Universit\u00e9 de Bordeaux, site de Talence, B\u00e2timent B18, All\u00e9e Geoffroy Saint-Hilaire, 33615 Bordeaux Cedex, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Gernez","sequence":"additional","affiliation":[{"name":"Mer Mol\u00e9cules Sant\u00e9 (EA 2160 MMS), Universit\u00e9 de Nantes, 2 rue de la Houssini\u00e8re BP 92208, 44322 Nantes Cedex 3, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,1,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.1364\/AO.33.002369","article-title":"Local algorithm using SeaWiFS data for retrieval of phytoplankton pigments, suspneded sediment and yellow substance in coastal waters","volume":"33","author":"Tassan","year":"1994","journal-title":"Appl. Opt."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1007\/s00367-003-0163-9","article-title":"Dispersal forcing of southern California river plumes, based on field and remote sensing observations","volume":"24","author":"Warrick","year":"2004","journal-title":"Geo-Mar. Lett."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Miller, R.L., del Castillo, C.E., and McKee, B.A. (2005). Remote Sensing of Coastal Aquatic Environments. Technologies, Techniques and Applications, Springer.","DOI":"10.1007\/978-1-4020-3100-7"},{"key":"ref_4","first-page":"321","article-title":"Estuarine, Coastal and Shelf Science","volume":"81","author":"Doxaran","year":"2009","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3615","DOI":"10.1364\/OE.24.003615","article-title":"An improved correction method for field measurements of particulate light backscattering in turbid waters State of the Art","volume":"24","author":"Doxaran","year":"2013","journal-title":"Opt. Express"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.csr.2009.12.007","article-title":"Estimating turbidity and total suspended matter in the Adour River plume (South Bay of Biscay) using MODIS 250-m imagery","volume":"30","author":"Petus","year":"2010","journal-title":"Cont. Shelf Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s00367-012-0274-2","article-title":"Daily and seasonal dynamics of suspended particles in the Rh\u00f4ne River plume based on remote sensing and field optical measurements","volume":"32","author":"Lorthiois","year":"2012","journal-title":"Geo-Mar. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.rse.2013.03.035","article-title":"Synergy between polar-orbiting and geostationary sensors: Remote sensing of the ocean at high spatial and high temporal resolution","volume":"146","author":"Vanhellemont","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Eom, J., Choi, J.-K., Won, J.-S., Ryu, J.-H., Doxaran, D., Ruddick, K., and Lee, S. (2016). Spatiotemporal Variation in Suspended Sediment Concentrations and Related Factors of Coastal Waters Based on Multispatial Satellite Data in Gyeonggi Bay, Korea. J. Coast. Res., in press.","DOI":"10.2112\/JCOASTRES-D-16-00012.1"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Hudson, A.S., Talke, S.A., and Jay, D.A. (2016). Using Satellite Observations to Characterize the Response of Estuarine Turbidity Maxima to External Forcing. Estuaries Coasts.","DOI":"10.1007\/s12237-016-0164-3"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.rse.2016.01.020","article-title":"River plume dynamics in the Kara Sea from altimetry-based lagrangian model, satellite salinity and chlorophyll data","volume":"176","author":"Kubryakov","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.scitotenv.2016.02.140","article-title":"Coral reefs chronically exposed to river sediment plumes in the southwestern Caribbean: Rosario Islands, Colombia","volume":"553","author":"Restrepo","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Ody, A., Doxaran, D., Vanhellemont, Q., Nechad, B., Novoa, S., Many, G., Bourrin, F., Verney, R., Pairaud, I., and Gentili, B. (2016). Potential of high spatial and temporal ocean color satellite data to study the dynamics of suspended particles in a micro-tidal river plume. Remote Sens., 8.","DOI":"10.3390\/rs8030245"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1016\/j.jglr.2016.02.009","article-title":"Water quality estimation of River plumes in Southern Lake Michigan using Hyperion","volume":"42","author":"Tan","year":"2016","journal-title":"J. Gt. Lakes Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2303","DOI":"10.1080\/01431160500396865","article-title":"Monitoring the maximum turbidity zone and detecting finescale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM) data","volume":"27","author":"Doxaran","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1016\/j.rse.2009.11.022","article-title":"Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters","volume":"114","author":"Nechad","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1016\/S0399-1784(99)80003-6","article-title":"Surface suspended matter off the Rhone river mouth from visible satellite imagery","volume":"21","author":"Forget","year":"1998","journal-title":"Oceanol. Acta"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.ecss.2008.11.013","article-title":"Dynamics of the turbidity maximum zone in a macrotidal estuary ( the Gironde, France ): Observations from field and MODIS satellite data","volume":"81","author":"Doxaran","year":"2009","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.rse.2015.02.007","article-title":"Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8","volume":"161","author":"Vanhellemont","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"14029","DOI":"10.1364\/OE.17.014029","article-title":"Mapping total suspended matter from geostationary satellites: A feasibility study with SEVIRI in the Southern North Sea","volume":"17","author":"Neukermans","year":"2009","journal-title":"Opt. Express"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1016\/j.rse.2012.06.003","article-title":"Diurnal variability of turbidity and light attenuation in the southern North Sea from the SEVIRI geostationary sensor","volume":"124","author":"Neukermans","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1364\/AO.33.000443","article-title":"Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: A preliminary algorithm","volume":"33","author":"Gordon","year":"1994","journal-title":"Appl. Opt."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1364\/AO.39.000897","article-title":"Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters: Comment","volume":"39","author":"Ruddick","year":"2000","journal-title":"Appl. Opt."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(00)00080-8","article-title":"Atmospheric correction of SeaWiFS imagery over turbid coastal waters: A practical method","volume":"74","author":"Hu","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"L13606","DOI":"10.1029\/2005GL022917","article-title":"Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies","volume":"32","author":"Wang","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"705","DOI":"10.5194\/os-7-705-2011","article-title":"Annual cycles of chlorophyll-a, non-algal suspended particulate matter, and turbidity observed from space and in-situ in coastal waters","volume":"7","author":"Gohin","year":"2011","journal-title":"Ocean Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1007\/s10236-011-0425-4","article-title":"Reconstruction of MODIS total suspended matter time series maps by DINEOF and validation with autonomous platform data","volume":"61","author":"Nechad","year":"2011","journal-title":"Ocean Dyn."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"44","DOI":"10.5589\/m03-051","article-title":"Mapping of the North Sea turbid coastal waters using SeaWiFS data","volume":"30","author":"Pasterkamp","year":"2004","journal-title":"Can. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0034-4257(01)00341-8","article-title":"Spectral signature of highly turbid waters Application with SPOT data to quantify suspended particulate matter concentrations","volume":"81","author":"Doxaran","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1080\/014311699212434","article-title":"The atmospheric correction of water colour and the quantitative retrieval of suspended particulate matter in Case II waters: Application to MERIS","volume":"20","author":"Moore","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"5079","DOI":"10.1080\/0143116021000009912","article-title":"A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters","volume":"23","author":"Doxaran","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.rse.2014.09.020","article-title":"A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters","volume":"156","author":"Dogliotti","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"13018","DOI":"10.1364\/OE.21.013018","article-title":"A semi-analytical total suspended sediment retrieval model in turbid coastal waters: A case study in Changjiang River Estuary","volume":"21","author":"Chen","year":"2013","journal-title":"Opt. Express"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1007\/s12237-010-9313-2","article-title":"Satellite estimates of wide-range suspended sediment concentrations in Changjiang (Yangtze) estuary using MERIS data","volume":"33","author":"Shen","year":"2010","journal-title":"Estuaries Coasts"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1016\/j.rse.2013.10.002","article-title":"Influence of the Three Gorges Dam on total suspended matters in the Yangtze Estuary and its adjacent coastal waters: Observations from MODIS","volume":"140","author":"Feng","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Han, B., Loisel, H., Vantrepotte, V., M\u00e9riaux, X., Bry\u00e8re, P., Ouillon, S., Dessailly, D., Xing, Q., and Zhu, J. (2016). Development of a semi-analytical algorithm for the retrieval of suspended particulate matter from remote sensing over clear to very turbid waters. Remote Sens., 8.","DOI":"10.3390\/rs8030211"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"3551","DOI":"10.5194\/bg-12-3551-2015","article-title":"A 50% increase in the mass of terrestrial particles delivered by the Mackenzie River into the Beaufort Sea (Canadian Arctic Ocean) over the last 10 years","volume":"12","author":"Doxaran","year":"2015","journal-title":"Biogeosciences"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.scitotenv.2006.10.039","article-title":"Seasonal variations and annual fluxes of arsenic in the Garonne, Dordogne and Isle Rivers, France","volume":"373","author":"Masson","year":"2007","journal-title":"Sci. Total Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/0025-3227(81)90045-1","article-title":"Mechanisms controlling seaward escape of suspended sediment from the Gironde: A macrotidal estuary in France","volume":"40","author":"Castaing","year":"1981","journal-title":"Mar. Geol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/0034-4257(91)90053-9","article-title":"Analysis of the turbid plume of the Gironde (France) bases on SPOT radiometric data","volume":"36","author":"Froidefond","year":"1991","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/B978-0-12-751802-2.50013-8","article-title":"Transport and deposition of suspended sediment in the Gironde estuary, France","volume":"2","author":"Allen","year":"1977","journal-title":"Estuar. Process."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"9507","DOI":"10.3390\/rs70809507","article-title":"Toward Sentinel-2 high resolution remote sensing of suspended particulate matter in very turbid waters: SPOT4 (Take5) experiment in the loire and gironde estuaries","volume":"7","author":"Gernez","year":"2015","journal-title":"Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"7277","DOI":"10.1002\/2014JC010055","article-title":"Remote sensing of suspended particulate matter in turbid oyster-farming ecosystems","volume":"119","author":"Gernez","year":"2014","journal-title":"J. Geophys. Res. C Oceans"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.4319\/lo.2006.51.2.1167","article-title":"Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum for turbid waters","volume":"51","author":"Ruddick","year":"2006","journal-title":"Limnol. Oceanogr."},{"key":"ref_45","unstructured":"Fargion, G.S., and Mueller, J.L. (2000). Above-water radiance and remote sensing reflectance measurement and analysis protocols, Ocean Optics for Satellite Ocean Color Sensor Validation, Revision 2."},{"key":"ref_46","unstructured":"Tilstone, G.H., Moore, G.F., Sorensen, K., Doerffer, R., R\u00f8ttgers, R., Ruddick, K.G., Pasterkamp, R., and Jorgensen, P.V. Regional Validation of MERIS Chlorophyll Products in North Sea Coastal Water. Available online: http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.556.8868&rep=rep1&type=pdf."},{"key":"ref_47","unstructured":"Van der Linde, D.W. (1998). Protocol for the Determination of Total Suspended Matter in Oceans and Coastal Zones, CEC-JRC. Technical Note No. I.98."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.rse.2011.08.026","article-title":"The next Landsat satellite: The Landsat Data Continuity Mission","volume":"122","author":"Irons","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Oudrari, H., McIntire, J., Xiong, X., Butler, J., Ji, Q., Schwarting, T., Lee, S., and Efremova, B. (2016). JPSS-1 VIIRS radiometric characterization and calibration based on pre-launch testing. Remote Sens., 8.","DOI":"10.3390\/rs8010041"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.asr.2008.04.008","article-title":"NASA EOS Terra and Aqua MODIS on-orbit performance","volume":"43","author":"Xiong","year":"2009","journal-title":"Adv. Space Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.rse.2014.01.009","article-title":"Turbid wakes associated with offshore wind turbines observed with Landsat 8","volume":"145","author":"Vanhellemont","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_52","unstructured":"Dogliotti, A., and Ruddick, K. (2011, January 6\u20139). Improving water reflectance retrieval from MODIS imagery in the highly turbid waters of La Plata River. Proceedings of the VI International Conference Current Problems in Optics of Natural Waters (ONW\u20192011), St. Petersburg, Russia."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"2668","DOI":"10.3390\/rs70302668","article-title":"A multi-temporal and multi-spectral method to estimate aerosol optical thickness over land, for the atmospheric correction of FormoSat-2, LandSat, VEN\u03bcS and Sentinel-2 images","volume":"7","author":"Hagolle","year":"2015","journal-title":"Remote Sens."},{"key":"ref_54","unstructured":"Guenther, B., de Luccia, F., Mccarthy, J., Moeller, C., Xiong, X., and Murphy, R.E. Performance Continuity of the A-Train MODIS Observations: Welcome to the NPP VIIRS, Available online: https:\/\/www.star.nesdis.noaa.gov\/jpss\/documents\/meetings\/2011\/AMS_Seattle_2011\/Poster\/A-TRAIN%20%20Perf%20Cont%20%20MODIS%20Observa%20-%20Guenther%20-%20WPNB.pdf."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1364\/OE.22.021657","article-title":"Improved near-infrared ocean reflectance correction algorithm for satellite ocean color data processing","volume":"22","author":"Jiang","year":"2014","journal-title":"Opt. Express"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"831","DOI":"10.5194\/hess-15-831-2011","article-title":"Monitoring water quality in estuarine environments: Lessons from the MAGEST monitoring program in the Gironde fluvial-estuarine system","volume":"15","author":"Etcheber","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_57","unstructured":"Vanhellemont, Q., Bailey, S., Franz, B., Shea, D., Directorate, O., and Environment, N. (2014, January 20\u201323). Atmospheric Correction of Landsat-8 Imagery Using Seadas. Proceedings of the Sentinel 2 for Science Workshop, Frascati, Italy."},{"key":"ref_58","unstructured":"Bru, D. (2015). Corrections Atmosph\u00e9riques Pour Capteurs \u00c0 Tr\u00e8s Haute R\u00e9solution Spatiale En Zone Littorale. [Ph.D. Thesis, University of Bordeaux]."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"10347","DOI":"10.1002\/jgrd.50793","article-title":"Impacts of VIIRS SDR performance on ocean color products","volume":"118","author":"Wang","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.rse.2015.04.026","article-title":"Enhanced satellite remote sensing of coastal waters using spatially improved bio-optical products from SNPP-VIIRS","volume":"165","author":"Vandermeulen","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.rse.2015.06.022","article-title":"A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters","volume":"168","author":"Knaeps","year":"2015","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/61\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:26:02Z","timestamp":1760207162000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,12]]},"references-count":61,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,1]]}},"alternative-id":["rs9010061"],"URL":"https:\/\/doi.org\/10.3390\/rs9010061","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,12]]}}}