{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:46:03Z","timestamp":1776059163734,"version":"3.50.1"},"reference-count":60,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,19]],"date-time":"2022-03-19T00:00:00Z","timestamp":1647648000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002301","name":"Estonian Research Council","doi-asserted-by":"publisher","award":["PRG709"],"award-info":[{"award-number":["PRG709"]}],"id":[{"id":"10.13039\/501100002301","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002301","name":"Estonian Research Council","doi-asserted-by":"publisher","award":["PRG302"],"award-info":[{"award-number":["PRG302"]}],"id":[{"id":"10.13039\/501100002301","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Regional Developing Fund and the Mobilitas Pluss","award":["MOBTP106"],"award-info":[{"award-number":["MOBTP106"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Nutrients are important elements in marine ecosystems and water quality, and have a major role in the eutrophication of water bodies. Monitoring nutrient loads is especially important for the Baltic Sea, which is especially sensitive to the eutrophication. Using optical remote sensing data in mapping total nitrogen (TN) and total phosphorus (TP) is challenging because these substances do not have a direct influence on the water optics that remote sensing sensors can detect. On the other hand, it would be very rewarding. In this study, more than 25,000 Sentinel-3 Ocean and Land Colour Instrument (OLCI) data algorithms were tested in order to detect the TN and TP concentrations in the Estonian marine waters between 2016\u20132021. The TN estimations were well derived for Estonian marine waters (R2 = 0.73, RMSE = 4.87 \u00b5molN L\u22121, MAPE = 14%, n = 708), while the TP estimations were weaker (R2 = 0.38, RMSE = 0.23 \u00b5molP L\u22121, MAPE = 24%, n = 730). The Estonian marine waters were divided into six geographic regions in order to study the effect of regional water quality on the TN and TP retrievals. The nutrient concentrations were derived in every region when spring and summer periods were treated separately. In this study, the detection of both nutrients was more successful in more closed areas with P deficiency, while in open sea areas it was more challenging. This study shows that it is possible to estimate nutrients, especially TN, from remote sensing data. Consequently, remote sensing could provide a reliable support to the conventional monitoring by covering large marine areas with high temporal and spatial resolution data.<\/jats:p>","DOI":"10.3390\/rs14061487","type":"journal-article","created":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T21:37:17Z","timestamp":1647812237000},"page":"1487","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Deriving Nutrient Concentrations from Sentinel-3 OLCI Data in North-Eastern Baltic Sea"],"prefix":"10.3390","volume":"14","author":[{"given":"Tuuli","family":"Soomets","sequence":"first","affiliation":[{"name":"Department of Remote Sensing and Marine Optics, Estonian Marine Institute, University of Tartu, M\u00e4ealuse 14, 12618 Tallinn, Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5190-2459","authenticated-orcid":false,"given":"Kaire","family":"Toming","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing and Marine Optics, Estonian Marine Institute, University of Tartu, M\u00e4ealuse 14, 12618 Tallinn, Estonia"},{"name":"Chair of Hydrobiology and Fishery, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 5, 51006 Tartu, Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jekaterina","family":"Jefimova","sequence":"additional","affiliation":[{"name":"Department of Marine Biology, Estonian Marine Institute, University of Tartu, M\u00e4ealuse 14, 12618 Tallinn, Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andres","family":"Jaanus","sequence":"additional","affiliation":[{"name":"Department of Marine Biology, Estonian Marine Institute, University of Tartu, M\u00e4ealuse 14, 12618 Tallinn, Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arno","family":"P\u00f5llum\u00e4e","sequence":"additional","affiliation":[{"name":"Department of Marine Biology, Estonian Marine Institute, University of Tartu, M\u00e4ealuse 14, 12618 Tallinn, Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9679-1422","authenticated-orcid":false,"given":"Tiit","family":"Kutser","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing and Marine Optics, Estonian Marine Institute, University of Tartu, M\u00e4ealuse 14, 12618 Tallinn, Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,19]]},"reference":[{"key":"ref_1","unstructured":"Helcom (2018). State of the Baltic Sea\u2014Second HELCOM holistic assessment 2011\u20132016. Baltic Sea Environment Proceedings, Helcom."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1111\/brv.12221","article-title":"Long-term temporal and spatial trends in eutrophication status of the Baltic Sea","volume":"92","author":"Andersen","year":"2017","journal-title":"Biol. Rev."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, D., Cui, Q., Gong, F., Wang, L., He, X., and Bai, Y. (2018). Satellite Retrieval of Surface Water Nutrients in the Coastal Regions of the East China Sea. Remote Sens., 10.","DOI":"10.3390\/rs10121896"},{"key":"ref_4","unstructured":"Andersen, J.H., and Laamanen, M. (2009). Eutrophication in the Baltic Sea\u2014An Integrated Thematic Assessment of the Effects of Nutrient Enrichment and Eutrophication in the Baltic Sea Region, Helsinki Commission."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"467","DOI":"10.3319\/TAO.2012.04.10.01(WMH)","article-title":"Remote Sensing Spatiotemporal Assessment of Nitrogen Concentrations in Tampa Bay, Florida due to a Drought","volume":"23","author":"Chang","year":"2012","journal-title":"Terr. Atmos. Ocean. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"118377","DOI":"10.1016\/j.atmosenv.2021.118377","article-title":"Airborne nitrogen deposition to the Baltic Sea: Past trends, source allocation and future projections","volume":"253","author":"Gauss","year":"2021","journal-title":"Atmos. Environ."},{"key":"ref_7","unstructured":"(2021, October 21). Homepage Copernicus. Available online: https:\/\/www.copernicus.eu\/en."},{"key":"ref_8","unstructured":"(2021, October 20). Sentinel-3\u2014Missions\u2014Sentinel Online. Available online: https:\/\/sentinels.copernicus.eu\/web\/sentinel\/missions\/sentinel-3."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ansper-Toomsalu, A., Alikas, K., Nielsen, K., Tuvikene, L., and Kangro, K. (2021). Synergy between Satellite Altimetry and Optical Water Quality Data towards Improved Estimation of Lakes Ecological Status. Remote Sens., 13.","DOI":"10.3390\/rs13040770"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.rse.2005.04.018","article-title":"Operational algorithm for the retrieval of water quality in the Great Lakes","volume":"97","author":"Pozdnyakov","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Kutser, T., Soomets, T., Toming, K., Uiboupin, R., Arikas, A., Vahter, K., and Paavel, B. (2018, January 12). Assessing the Baltic Sea Water Quality with Sentinel-3 OLCI Imagery. Proceedings of the 2018 IEEE\/OES Baltic International Symposium (BALTIC), Klaipeda, Lithuania.","DOI":"10.1109\/BALTIC.2018.8634849"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1080\/20964129.2019.1571443","article-title":"Water quality monitoring and evaluation using remote sensing techniques in China: A systematic review","volume":"5","author":"Wang","year":"2019","journal-title":"Ecosyst. Health Sustain."},{"key":"ref_13","unstructured":"Greb, S., Dekker, A., and Binding, C.E. (2018). Earth Observations in Support of Global Water Quality Monitoring, International Ocean Colour Coordinating Group."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Gholizadeh, M., Melesse, A., and Reddi, L. (2016). A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques. Sensors, 16.","DOI":"10.3390\/s16081298"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Toming, K., Kutser, T., Laas, A., Sepp, M., Paavel, B., and N\u00f5ges, T. (2016). First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery. Remote Sens., 8.","DOI":"10.3390\/rs8080640"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Kratzer, S., Kyryliuk, D., Edman, M., Philipson, P., and Lyon, S. (2019). Synergy of Satellite, In Situ and Modelled Data for Addressing the Scarcity of Water Quality Information for Eutrophication Assessment and Monitoring of Swedish Coastal Waters. Remote Sens., 11.","DOI":"10.3390\/rs11172051"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Toming, K., Kutser, T., Uiboupin, R., Arikas, A., Vahter, K., and Paavel, B. (2017). Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea. Remote Sens., 9.","DOI":"10.3390\/rs9101070"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s11783-008-0027-7","article-title":"Water quality monitoring in a slightly-polluted inland water body through remote sensing\u2014Case study of the Guanting Reservoir in Beijing, China","volume":"2","author":"He","year":"2008","journal-title":"Front. Environ. Sci. Eng. China"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Soomets, T., Uudeberg, K., Jakovels, D., Brauns, A., Zagars, M., and Kutser, T. (2020). Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data. Sensors, 20.","DOI":"10.3390\/s20030742"},{"key":"ref_20","first-page":"B8","article-title":"Remote Sensing of Water Quality in Optically Complex Lakes","volume":"39","author":"Kutser","year":"2012","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_21","unstructured":"Matthews, M.W. (2009). Remote Sensing of Water Quality Parameters in Zeekoevlei, a Hypertrophic, Cyanobacteria-Dominated Lake, Cape Town, South Africa. [Master\u2019s Thesis, University of Cape Town]."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1080\/10643389.2013.829981","article-title":"Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective","volume":"45","author":"Chang","year":"2015","journal-title":"Environ. Sci. Technol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2070","DOI":"10.1016\/j.rse.2010.04.013","article-title":"Remote sensing of cyanobacteria-dominant algal blooms and water quality parameters in Zeekoevlei, a small hypertrophic lake, using MERIS","volume":"114","author":"Matthews","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_24","unstructured":"Riddick, C.A.L., and Spyrakos, E. (2019, January 16). CoastObs: Standard and high-level water quality products from Sentinel -2 and -3 over European coastal and transitional waters commercial service platform for user-relevant coastal water monitoring services. Proceedings of the Earth Living Planet Symposium, Milan, Italy."},{"key":"ref_25","unstructured":"Mobley, C. (1994). Light and Water: Radiative Transfer in Natural Waters, Academic Press."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3069","DOI":"10.1080\/01431169508954609","article-title":"Telespectrometrical estimation of water transparency, chlorophyll-a and total phosphorus concentration of Lake Peipsi","volume":"16","author":"Kutser","year":"1995","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"2309","DOI":"10.1080\/01431160902973873","article-title":"Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data","volume":"31","author":"Wu","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1109\/JSTARS.2011.2174339","article-title":"Using Landsat\/TM imagery to estimate nitrogen and phosphorus concentration in Taihu Lake, China","volume":"5","author":"Chen","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_30","unstructured":"Andersson, M. (2012). Estimating Phosphorus in Rivers of Central Sweden Using Landsat TM Data. [Ph.D. Thesis, Stockholm University]."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1953","DOI":"10.1007\/s11270-014-1953-6","article-title":"Detection of Total Phosphorus Concentrations of Turbid Inland Waters Using a Remote Sensing Method","volume":"225","author":"Sun","year":"2014","journal-title":"Water Air Soil Pollut."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1831","DOI":"10.1016\/j.jes.2014.06.019","article-title":"Assessment of nutrient distributions in Lake Champlain using satellite remote sensing","volume":"26","author":"Isenstein","year":"2014","journal-title":"J. Environ. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.jenvman.2014.11.036","article-title":"Remote sensing estimation of the total phosphorus concentration in a large lake using band combinations and regional multivariate statistical modeling techniques","volume":"151","author":"Gao","year":"2015","journal-title":"J. Environ. Manag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"4171","DOI":"10.1109\/JSTARS.2015.2438293","article-title":"Using Remote Sensing to Track Variation in Phosphorus and Its Interaction with Chlorophyll-a and Suspended Sediment","volume":"8","author":"Huang","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1007\/s12665-016-5421-z","article-title":"Nutrient estimation by HJ-1 satellite imagery of Xiangxi Bay, Three Gorges Reservoir, China","volume":"75","author":"Huang","year":"2016","journal-title":"Environ. Earth Sci."},{"key":"ref_36","first-page":"29","article-title":"Estimation of total phosphorus concentration using a water classification method in inland water","volume":"71","author":"Du","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s00027-019-0626-3","article-title":"Resolving biogeochemical processes in lakes using remote sensing","volume":"81","author":"Nouchi","year":"2019","journal-title":"Aquat. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Lu, S., Deng, R., Liang, Y., Xiong, L., Ai, X., and Qin, Y. (2020). Remote sensing retrieval of total phosphorus in the pearl river channels based on the GF-1 remote sensing data. Remote Sens., 12.","DOI":"10.3390\/rs12091420"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1080\/01431161.2015.1125555","article-title":"Remote-sensing estimation of dissolved inorganic nitrogen concentration in the Bohai Sea using band combinations derived from MODIS data","volume":"37","author":"Yu","year":"2016","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.rse.2013.03.002","article-title":"Exploring spatiotemporal patterns of phosphorus concentrations in a coastal bay with MODIS images and machine learning models","volume":"134","author":"Xuan","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_41","unstructured":"(2021, October 21). Water Act. Available online: https:\/\/www.riigiteataja.ee\/en\/eli\/526022019001\/consolide."},{"key":"ref_42","unstructured":"(2021, December 21). Guidelines-for-Measuring-Chlorophyll-a\u2014HELCOM. Available online: https:\/\/helcom.fi\/wp-content\/uploads\/2019\/08\/Guidelines-for-measuring-chlorophyll-a.pdf."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"416","DOI":"10.4319\/lo.1987.32.2.0416","article-title":"Absorption of light by yellow substance in freshwater lakes","volume":"32","author":"Vant","year":"1987","journal-title":"Limnol. Oceanogr."},{"key":"ref_44","unstructured":"Lindell, T., Pierson, D., Premazzi, G., and Zilioti, E. (1999). Manual for Monitoring European Lakes Using Remote Sensing Techniques, European Communities."},{"key":"ref_45","unstructured":"(2021, October 21). ESTHub Processing Platform. Available online: https:\/\/ehcalvalus.maaamet.ee\/calest\/calvalus.jsp."},{"key":"ref_46","unstructured":"Brockmann, C., Doerffer, R., Peters, M., Stelzer, K., 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, ESA."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1071\/MF08030","article-title":"Dispersal of suspended sediments and nutrients in the Great Barrier Reef lagoon during river-discharge events: Conclusions from satellite remote sensing and concurrent flood-plume sampling","volume":"61","author":"Brodie","year":"2010","journal-title":"Mar. Freshw. Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1016\/S0967-0637(99)00075-8","article-title":"Multiannual trends in fronts and distribution of nutrients and chlorophyll in the southwestern Atlantic (30\u201362\u00b0 S)","volume":"47","author":"Brandini","year":"2000","journal-title":"Deep Sea Res. Part I Oceanogr. Res. Pap."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/S0272-7714(02)00373-6","article-title":"The seasonal variation of dissolved nutrients, chlorophyll a and suspended sediments at Nelly Bay, Magnetic Island","volume":"57","author":"Muslim","year":"2003","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"364","DOI":"10.4319\/lo.2006.51.1_part_2.0364","article-title":"Nitrogen as the limiting nutrient for eutrophication in coastal marine ecosystems: Evolving views over three decades","volume":"51","author":"Howarth","year":"2006","journal-title":"Limnol. Oceanogr."},{"key":"ref_51","unstructured":"Redfield, A.C. (1934). On the proportions of organic derivatives in sea water and their relation to the composition of plankton. James Johnstone Memorial Volume, Liverpool University Press."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.4319\/lo.2000.45.6.1213","article-title":"Total nitrogen, total phosphorus, and nutrient limitation in lakes and oceans: Is there a common relationship?","volume":"45","author":"Guildford","year":"2000","journal-title":"Limnol. Oceanogr."},{"key":"ref_53","unstructured":"Ekholm, P. (2008). N:P Ratios in Estimating Nutrient Limitation in Aquatic Systems. Finn. Environ. Inst., 11\u201314."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.1007\/s13280-019-01282-y","article-title":"Factors regulating the coastal nutrient filter in the Baltic Sea","volume":"49","author":"Carstensen","year":"2020","journal-title":"Ambio"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"268","DOI":"10.2216\/i0031-8884-40-3-268.1","article-title":"Nodularin analyses and toxicity of a Nodularia spumigena (Nostocales, Cyanobacteria) water-bloom in the western Gulf of Finland, Baltic Sea, in August 1999","volume":"40","author":"Kuparinen","year":"2001","journal-title":"Phycologia"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"13","DOI":"10.3354\/meps207013","article-title":"Cyanobacteria blooms in the Gulf of Finland triggered by saltwater inflow into the Baltic Sea","volume":"207","author":"Kahru","year":"2000","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1016\/j.jmarsys.2008.05.003","article-title":"Eutrophication in the Baltic Sea and shifts in nitrogen fixation analyzed with a 3D ecosystem model","volume":"74","author":"Neumann","year":"2008","journal-title":"J. Mar. Syst."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.rse.2013.11.021","article-title":"An optical water type framework for selecting and blending retrievals from bio-optical algorithms in lakes and coastal waters","volume":"143","author":"Moore","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1764","DOI":"10.1109\/36.942555","article-title":"A fuzzy logic classification scheme for selecting and blending satellite ocean color algorithms","volume":"39","author":"Moore","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1016\/0278-4343(95)00055-0","article-title":"Nutrient elements in large Chinese estuaries","volume":"16","author":"Zhang","year":"1996","journal-title":"Cont. Shelf Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/6\/1487\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:39:40Z","timestamp":1760135980000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/6\/1487"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,19]]},"references-count":60,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["rs14061487"],"URL":"https:\/\/doi.org\/10.3390\/rs14061487","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,19]]}}}