{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T01:15:08Z","timestamp":1772759708204,"version":"3.50.1"},"reference-count":78,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:00:00Z","timestamp":1609718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002261","name":"Russian Foundation for Basic Research","doi-asserted-by":"publisher","award":["17-05-00715"],"award-info":[{"award-number":["17-05-00715"]}],"id":[{"id":"10.13039\/501100002261","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012190","name":"Ministry of Science and Higher Education of the Russian Federation","doi-asserted-by":"publisher","award":["Theme \u201cMonitoring\u201d, State register No. 01.20.0.2.00164"],"award-info":[{"award-number":["Theme \u201cMonitoring\u201d, State register No. 01.20.0.2.00164"]}],"id":[{"id":"10.13039\/501100012190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The paper presents the results of a comparison of water turbidity and suspended particulate matter concentration (SPM) obtained from quasi-synchronous in situ and satellite remote-sensing data. Field measurements from a small boat were performed in April and May 2019, in the northeastern part of the Black Sea, in the mouth area of the Mzymta River. The measuring instruments and methods included a turbidity sensor mounted on a CTD (Conductivity, Temperature, Depth), probe, a portable turbidimeter, water sampling for further laboratory analysis and collecting meteorological information from boat and ground-based weather stations. Remote-sensing methods included turbidity and SPM estimation using the C2RCC (Case 2 Regional Coast Color) and Atmospheric correction for OLI \u2018lite\u2019 (ACOLITE) ACOLITE processors that were run on Landsat-8 Operational Land Imager (OLI) and Sentinel-2A\/2B Multispectral Instrument (MSI) satellite data. The highest correlation between the satellite SPM and the water sampling SPM for the study area in conditions of spring flooding was achieved using C2RCC, but only for measurements undertaken almost synchronously with satellite imaging because of the high mobility of the Mzymta plume. Within the few hours when all the stations were completed, its boundary could shift considerably. The ACOLITE algorithms overestimated by 1.5 times the water sampling SPM in the low value range up to 15 g\/m3. For SPM over 20\u201325 g\/m3, a high correlation was observed both with the in situ measurements and the C2RCC results. It was demonstrated that quantitative turbidity and SPM values retrieved from Landsat-8 OLI and Sentinel-2A\/2B MSI data can adequately reflect the real situation even using standard retrieval algorithms, not regional ones, provided the best suited algorithm is selected for the study region.<\/jats:p>","DOI":"10.3390\/rs13010143","type":"journal-article","created":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T21:58:36Z","timestamp":1609797516000},"page":"143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Comparison of In Situ and Remote-Sensing Methods to Determine Turbidity and Concentration of Suspended Matter in the Estuary Zone of the Mzymta River, Black Sea"],"prefix":"10.3390","volume":"13","author":[{"given":"Ksenia","family":"Nazirova","sequence":"first","affiliation":[{"name":"Space Research Institute of Russian Academy of Sciences, 117997 Moscow, Russia"}]},{"given":"Yana","family":"Alferyeva","sequence":"additional","affiliation":[{"name":"Faculty of Geology, Lomonosov Moscow State University, 119991 Moscow, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1379-6290","authenticated-orcid":false,"given":"Olga","family":"Lavrova","sequence":"additional","affiliation":[{"name":"Space Research Institute of Russian Academy of Sciences, 117997 Moscow, Russia"}]},{"given":"Yuri","family":"Shur","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775-5900, USA"}]},{"given":"Dmitry","family":"Soloviev","sequence":"additional","affiliation":[{"name":"Marine Hydrophysical Institute of Russian Academy of Sciences, 2990011 Sevastopol, Russia"}]},{"given":"Tatiana","family":"Bocharova","sequence":"additional","affiliation":[{"name":"Space Research Institute of Russian Academy of Sciences, 117997 Moscow, Russia"}]},{"given":"Alexey","family":"Strochkov","sequence":"additional","affiliation":[{"name":"Space Research Institute of Russian Academy of Sciences, 117997 Moscow, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,4]]},"reference":[{"key":"ref_1","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_2","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1134\/S0001437014030151","article-title":"Hydrophysical and hydrochemical characteristics of the sea areas adjacent to the estuaries of small rivers of the Russian coast of the Black Sea","volume":"54","author":"Zavialov","year":"2014","journal-title":"Oceanology"},{"key":"ref_3","unstructured":"Lavrova, O.Y., Mityagina, M.I., and Kostianoy, A.G. (2016). Satellite Methods for Detecting and Monitoring Marine Zones of Ecological Risk, IKI RAN. (In Russian)."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"293","DOI":"10.3402\/tellusa.v34i3.10813","article-title":"A steady state model for buoyant surface plume hydrodynamics in coastal waters","volume":"34","author":"Garvine","year":"1982","journal-title":"Tellus"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1029\/JC079i015p02251","article-title":"Frontal structure of a river plume","volume":"79","author":"Garvine","year":"1974","journal-title":"J. Geophys. Res."},{"key":"ref_6","first-page":"99990G","article-title":"River plumes investigation using Sentinel-2A MSI and Landsat-8 OLI data","volume":"Volume 9999","author":"Lavrova","year":"2016","journal-title":"SPIE Remote Sensing, Proceedings of the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016, Edinburgh, UK, 26\u201329 September 2016"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"311","DOI":"10.5697\/oc.52-2.311","article-title":"Report on the development of the Vistula river plume in the coastal waters of the Gulf of Gdansk during the May 2010 flood","volume":"52","author":"Darecki","year":"2010","journal-title":"Oceanologia"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Abascal-Zorrilla, N., Vantrepotte, V., Huybrechts, N., Ngoc, D.D., Anthony, E.J., and Gardel, A. (2020). Dynamics of the Estuarine Turbidity Maximum Zone from Landsat-8 Data: The Case of the Maroni River Estuary, French Guiana. Remote Sens., 12.","DOI":"10.3390\/rs12132173"},{"key":"ref_9","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_10","doi-asserted-by":"crossref","first-page":"843","DOI":"10.4319\/lo.2003.48.2.0843","article-title":"Light scattering properties of marine particles in coastal and open ocean waters as related to the particle mass concentration","volume":"48","author":"Babin","year":"2003","journal-title":"Limnol. Oceanogr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.csr.2015.11.009","article-title":"Estimation of water turbidity and analysis of its spatio-temporal variability in the Danube River plume (Black Sea) using MODIS satellite data","volume":"112","author":"Constantin","year":"2016","journal-title":"Cont. Shelf Res."},{"key":"ref_12","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_13","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_14","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1007\/s10652-009-9146-3","article-title":"Dynamics of the buoyant plume off the Pearl River estuary in summer","volume":"9","author":"Ou","year":"2009","journal-title":"Environ. Fluid Mech."},{"key":"ref_15","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_16","doi-asserted-by":"crossref","first-page":"12909","DOI":"10.3390\/rs71012909","article-title":"Water Quality and River Plume Monitoring in the Great Barrier Reef: An Overview of Methods Based on Ocean Colour Satellite Data","volume":"7","author":"Devlin","year":"2015","journal-title":"Remote Sens."},{"key":"ref_17","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_18","first-page":"15","article-title":"Estimating suspended matter concentrations from SPOT data and from field measurements in the Rhone River plume. Marine Technology Society","volume":"31","author":"Ouillon","year":"1997","journal-title":"Mar. Technol. Soc. J."},{"key":"ref_19","first-page":"3130","article-title":"Influence of wind stress and ambient flow on high discharge river plume","volume":"107","author":"Berdeal","year":"2002","journal-title":"J. Geophys. Res."},{"key":"ref_20","first-page":"365","article-title":"Hydrology and morphology of two river mouth regions (temperate Vistula Delta and subtropical Red River Delta)","volume":"47","author":"Pruszak","year":"2005","journal-title":"Oceanologia"},{"key":"ref_21","first-page":"661507","article-title":"Assessment of underwater irradiance and absorption of solar radiation at water column from satellite data","volume":"Volume 6615","author":"Kopelevich","year":"2007","journal-title":"SPIE Remote Sensing, Proceedings of the Current Research on Remote Sensing, Laser Probing, and Imagery in Natural Waters, Moscow, Russian, 1\u20133 January 2007"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.ecss.2010.06.010","article-title":"Dynamics of the Mackenzie River plume on the inner Beaufort shelf during an open water period in summer","volume":"89","author":"Mulligan","year":"2010","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.rse.2013.01.009","article-title":"Turbidity retrieval and monitoring of Danube Delta waters using multi-sensor optical remote sensing data: An integrated view from the delta plain lakes to the western\u2013northwestern Black Sea coastal zone","volume":"132","author":"Niculescu","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_24","first-page":"96380D","article-title":"Revealing the influence of various factors on concentration and spatial distribution of suspended matter based on remote sensing data","volume":"Volume 9638","author":"Lavrova","year":"2015","journal-title":"SPIE Remote Sensing, Proceedings of the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015, Toulouse, France, 21\u201324 September 2015"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1080\/2150704X.2015.1062158","article-title":"Remote sensing of spatial-temporal distribution of suspended sediment and analysis of related environmental factors in Hangzhou Bay, China","volume":"6","author":"Cai","year":"2015","journal-title":"Remote Sens. Lett."},{"key":"ref_26","first-page":"96380H","article-title":"Estimation of river discharge based on remote sensing of a river plume","volume":"Volume 9638","author":"Osadchiev","year":"2015","journal-title":"SPIE Remote Sensing, Proceedings of the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015, Toulouse, France, 21\u201324 September 2015"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1016\/j.csr.2007.06.015","article-title":"River plume patterns and dynamics within the Southern California Bight","volume":"27","author":"Warrick","year":"2007","journal-title":"Cont. Shelf Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.jmarsys.2015.12.010","article-title":"Particle assemblage characterization in the Phone River ROFI","volume":"157","author":"Many","year":"2016","journal-title":"J. Mar. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Novoa, S., Doxaran, D., Ody, A., Vanhellemont, Q., Lafon, V., and Lubac, B. (2017). Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels Coastal Waters. Remote Sens., 9.","DOI":"10.3390\/rs9010061"},{"key":"ref_30","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_31","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_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","first-page":"1750","article-title":"Seasonal and inter-annual (2002-2010) variability of the suspended particulate matter as retrieved from satellite ocean color sensor over the French Guiana coastal waters","volume":"64","author":"Vantrepotte","year":"2011","journal-title":"J. Coast. Res."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Tavora, J., Boss, E., Doxaran, D., and Hill, P. (2020). An Algorithm to Estimate Suspended Particulate Matter Concentrations and Associated Uncertainties from Remote Sensing Reflectance in Coastal Environments. Remote Sens., 12.","DOI":"10.3390\/rs12132172"},{"key":"ref_35","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."},{"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":"517","DOI":"10.1080\/01431160600821127","article-title":"The MERIS Case 2 water algorithm","volume":"28","author":"Doerffer","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"5627","DOI":"10.1080\/01431160701601774","article-title":"Retrieval of atmospheric and oceanic properties from MERIS measurements: A new Case-2 water processor for BEAM","volume":"28","author":"Schroeder","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.csr.2017.06.024","article-title":"Investigating Rh\u00f4ne River plume (Gulf of Lions, France) dynamics using metrics analysis from the MERIS 300m Ocean Color archive (2002\u20132012)","volume":"144","author":"Gangloff","year":"2007","journal-title":"Cont. Shelf Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"137774","DOI":"10.1016\/j.scitotenv.2020.137774","article-title":"Variations of suspended particulate concentration and composition in Chinese lakes observed from Sentinel-3A OLCI images","volume":"721","author":"Xue","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1080\/014311699212470","article-title":"Interpretation of the 685 nm peak in water-leaving radiance spectra in terms of fluorescence, absorption and scattering, and its observation by MERIS","volume":"20","author":"Gower","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2005","DOI":"10.1080\/01431160500075857","article-title":"Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer","volume":"26","author":"Gower","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_43","unstructured":"Brockmann, C., Doerffer, R., Peters, M., Kerstin, S., Embacher, S., and Ruescas, A. (2016). Evolution of the C2RCC Neural Network for Sentinel 2 and 3 for the Retrieval of Ocean Colour Products in Normal and Extreme Optically Complex Waters. Living Planet Symposium, Proceedings of the ESA Living Planet Symposium, Prague, Czech Republic, 9\u201313 May 2016, ESA-SP."},{"key":"ref_44","first-page":"74730H","article-title":"Calibration and validation of a generic multisensor algorithm for mapping of turbidity in coastal waters","volume":"Volume 7473","author":"Nechad","year":"2009","journal-title":"SPIE Remote Sensing, Proceedings of the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2009, Berlin, Germany, 31 August\u20133 September 2009"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"319","DOI":"10.5194\/essd-7-319-2015","article-title":"CoastColour Round Robin data sets: A database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters","volume":"7","author":"Nechad","year":"2015","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Martins, V.S., Barbosa, C.C.F., De Carvalho, L.A.S., Jorge, D.S.F., Lobo, F.D.L., and Novo, E.M.L.M. (2017). Assessment of Atmospheric Correction Methods for Sentinel-2 MSI Images Applied to Amazon Floodplain Lakes. Remote Sens., 9.","DOI":"10.3390\/rs9040322"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.rse.2019.03.018","article-title":"Assessment of atmospheric correction algorithms for the Sentinel-2A MultiSpectral Imager over coastal and inland waters","volume":"225","author":"Warren","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"11742","DOI":"10.1364\/OE.390316","article-title":"Atmospheric correction for satellite-derived bathymetry in the Caribbean waters: From a single image to multi-temporal approaches using Sentinel-2A\/B","volume":"28","author":"Caballero","year":"2020","journal-title":"Opt. Express"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"137","DOI":"10.3389\/fmars.2017.00137","article-title":"Shellfish Aquaculture from Space: Potential of Sentinel2 to Monitor Tide-Driven Changes in Turbidity, Chlorophyll Concentration and Oyster Physiological Response at the Scale of an Oyster Farm","volume":"4","author":"Gernez","year":"2017","journal-title":"Front. Mar. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.rse.2019.03.010","article-title":"Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives","volume":"225","author":"Vanhellemont","year":"2019","journal-title":"Remote Sens. Environ."},{"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","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_53","unstructured":"Vanhellemont, Q., and Ruddick, K. (2016). ACOLITE for Sentinel-2: Aquatic Applications of MSI imagery. Living Planet Symposium, Proceedings of the ESA Living Planet Symposium, Prague, Czech Republic, 9\u201313 May 2016, ESA-SP."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.rse.2018.07.015","article-title":"Atmospheric correction of metre-scale optical satellite data for inland and coastal water applications","volume":"216","author":"Vanhellemont","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Ilori, C.O., Pahlevan, N., and Knudby, A. (2019). Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing. Remote Sens., 11.","DOI":"10.3390\/rs11040469"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.1016\/j.asr.2017.02.017","article-title":"Atmospheric correction issues for retrieving total suspended matter concentrations in inland waters using OLI\/Landsat-8 image","volume":"59","author":"Bernardo","year":"2017","journal-title":"Adv. Space Res."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1134\/S0001437011050109","article-title":"Submesoscale variability of the current and wind fields in the coastal region of Sochi","volume":"51","author":"Korotkina","year":"2011","journal-title":"Oceanology"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1016\/j.rse.2018.11.043","article-title":"Spreading dynamics of small river plumes off the northeastern coast of the Black Sea observed by Landsat 8 and Sentinel-2","volume":"221","author":"Osadchiev","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"5806","DOI":"10.1080\/01431161.2019.1685723","article-title":"On a relationship between the river runoff and the river plume area in the northeastern Black Sea","volume":"41","author":"Lebedev","year":"2020","journal-title":"Int. J. Remote Sens."},{"key":"ref_60","unstructured":"Dzhaoshvili, S. (2010). Rivers of the Black Sea, Technical Report # 71; European Environment Agency."},{"key":"ref_61","first-page":"196","article-title":"Features of the climatic conditions of the Mzymta river basin for recreational activities","volume":"5","author":"Drozhzhina","year":"2013","journal-title":"Young Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1134\/S0001437015060211","article-title":"Estimating the deposition of river-borne suspended matter from the joint analysis of suspension concentration and salinity","volume":"55","author":"Zavialov","year":"2015","journal-title":"Oceanology"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"36","DOI":"10.31857\/S0205-96142019536-49","article-title":"The use of mini-drifters in coastal current measurements conducted concurrently with satellite imaging","volume":"5","author":"Lavrova","year":"2019","journal-title":"Issl. Zemli Kosmosa"},{"key":"ref_64","first-page":"301","article-title":"Peculiarities of hydrophysical self-purification of Russian coastal zone of the Black Sea near the river estuaries","volume":"4","author":"Aibulatov","year":"2008","journal-title":"Geoekologiya"},{"key":"ref_65","unstructured":"Nazirova, K., Lavrova, O., Mityagina, M., and Krayushkin, E. (2015, January 6\u201310). Influence of vortex structures on the spread of pollution. Proceedings of the 12th International Conference on the Mediterranean Coastal Environment, Medcoast 2015, Varna, Bulgaria."},{"key":"ref_66","unstructured":"van de Hulst, H.C. (1981). Light Scattering by Small Particles, Dover Publications."},{"key":"ref_67","unstructured":"Sadar, M. (2020, November 02). Turbidity Science. Technical Information Series. 1998, Booklet 11. Available online: https:\/\/www.hach.com\/asset-get.download-en.jsa?code=61792."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.1007\/s11368-013-0813-0","article-title":"Effects of suspended sediment concentration and grain size on three optical turbidity sensors","volume":"14","author":"Merten","year":"2014","journal-title":"J. Soils Sediments"},{"key":"ref_69","first-page":"182","article-title":"Protocol for determination of total suspended matter in oceans and coastal zones","volume":"98","year":"1998","journal-title":"JRC Tech. Note I"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"124","DOI":"10.4319\/lo.2012.57.1.0124","article-title":"In situ variability of mass-specific beam attenuation and backscattering of marine particles with respect to particle size, density, and composition","volume":"57","author":"Neukermans","year":"2012","journal-title":"Limnol. Oceanogr."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"709","DOI":"10.4319\/lo.1977.22.4.0709","article-title":"Analysis of variations in ocean color","volume":"22","author":"Morel","year":"1977","journal-title":"Limnol. Oceanogr."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"60","DOI":"10.5670\/oceanog.2004.48","article-title":"Optical Modeling of Ocean Waters: Is the Case 1\u2013Case 2 Classification Still Useful?","volume":"17","author":"Mobley","year":"2004","journal-title":"Oceanography"},{"key":"ref_73","first-page":"111500H","article-title":"Features of monitoring near the mouth zones by contact and contactless methods","volume":"Volume 11150","author":"Nazirova","year":"2019","journal-title":"SPIE Remote Sensing, Proceedings of the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, Strasbourg, France, 9\u201312 September 2019"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"227","DOI":"10.21046\/2070-7401-2019-16-2-227-243","article-title":"Identification features of river plume parameters by in-situ and satellite methods","volume":"16","author":"Nazirova","year":"2019","journal-title":"Sovr. Probl. DZZ Kosm."},{"key":"ref_75","first-page":"92401C","article-title":"See the Sea: Multi-user information system for investigating processes and phenomena in coastal zones via satellite remotely sensed data, particularly hyperspectral data","volume":"Volume 9240","author":"Mityagina","year":"2014","journal-title":"SPIE Remote Sensing, Proceedings of the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014, Amsterdam, The Netherlands, 22\u201325 September 2014"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"266","DOI":"10.21046\/2070-7401-2019-16-3-266-287","article-title":"Current capabilities and experience of using the See the Sea information system for studying and monitoring phenomena and processes on the sea surface","volume":"16","author":"Lavrova","year":"2019","journal-title":"Sovr. Probl. DZZ Kosm."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Kyryliuk, D., and Kratzer, S. (2019). Evaluation of Sentinel-3A OLCI Products Derived Using the Case-2 Regional CoastColour Processor over the Baltic Sea. Sensors, 19.","DOI":"10.3390\/s19163609"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Glukhovets, D., Kopelevich, O., Yushmanova, A., Vazyulya, S., Sheberstov, S., Karalli, P., and Sahling, I. (2020). Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data. Remote Sens., 12.","DOI":"10.20944\/preprints202008.0229.v1"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/1\/143\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:06:56Z","timestamp":1760159216000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/1\/143"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,4]]},"references-count":78,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["rs13010143"],"URL":"https:\/\/doi.org\/10.3390\/rs13010143","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,4]]}}}