{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T18:53:16Z","timestamp":1776451996230,"version":"3.51.2"},"reference-count":58,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,14]],"date-time":"2020-02-14T00:00:00Z","timestamp":1581638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002749","name":"Belgian Federal Science Policy Office","doi-asserted-by":"publisher","award":["SR\/00\/325"],"award-info":[{"award-number":["SR\/00\/325"]}],"id":[{"id":"10.13039\/501100002749","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002749","name":"Belgian Federal Science Policy Office","doi-asserted-by":"publisher","award":["SR\/00\/335"],"award-info":[{"award-number":["SR\/00\/335"]}],"id":[{"id":"10.13039\/501100002749","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Operational Land Imager (OLI) onboard Landsat 8 has found successful application in inland and coastal water remote sensing. Its radiometric specification and high spatial resolution allows quantification of water-leaving radiance while resolving small water bodies. However, its limited multispectral band set restricts the range of water quality parameters that can be retrieved. Identification of cyanobacteria biomass has been demonstrated for sensors with a band centered near 620 nm, the absorption peak of the diagnostic pigment phycocyanin. While OLI lacks such a band in the orange region, superposition of the available multispectral and panchromatic bands suggests that it can be calculated by a scaled difference. A set of 428 in situ spectra acquired in diverse lakes in Belgium and The Netherlands was used to develop and test an orange contra-band retrieval algorithm, achieving a mean absolute percentage error of 5.39% and a bias of \u22120.88% in the presence of sensor noise. Atmospheric compensation error propagated to the orange contra-band was observed to maintain about the same magnitude (13% higher) observed for the red band and thus results in minimal additional effects for possible base line subtraction or band ratio algorithms for phycocyanin estimation. Generality of the algorithm for different reflectance shapes was tested against a set of published average coastal and inland Optical Water Types, showing robust retrieval for all but relatively clear water types (Secchi disk depth &gt; 6 m and chlorophyll a    &lt; 1.6     mg m      \u2212 3     ). The algorithm was further validated with 79 matchups against the Ocean and Land Colour Imager (OLCI) orange band for 10 globally distributed lakes. The retrieved band is shown to convey information independent from the adjacent bands under variable phycocyanin concentrations. An example application using Landsat 8 imagery is provided for a known cyanobacterial bloom in Lake Erie, US. The method is distributed in the ACOLITE atmospheric correction code. The contra-band approach is generic and can be applied to other sensors with overlapping bands. Recommendations are also provided for development of future sensors with broad spectral bands with the objective to maximize the accuracy of possible spectral enhancements.<\/jats:p>","DOI":"10.3390\/rs12040637","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T03:20:03Z","timestamp":1582168803000},"page":"637","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Extending Landsat 8: Retrieval of an Orange contra-Band for Inland Water Quality Applications"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6069-1574","authenticated-orcid":false,"given":"Alexandre","family":"Castagna","sequence":"first","affiliation":[{"name":"Protistology and Aquatic Ecology, Ghent University, Krijgslaan 281, 9000 Gent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6296-9146","authenticated-orcid":false,"given":"Stefan","family":"Simis","sequence":"additional","affiliation":[{"name":"Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4276-5530","authenticated-orcid":false,"given":"Heidi","family":"Dierssen","sequence":"additional","affiliation":[{"name":"Department of Marine Science, University of Connecticut, Groton, CT 06340, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9195-6347","authenticated-orcid":false,"given":"Quinten","family":"Vanhellemont","sequence":"additional","affiliation":[{"name":"Royal Belgian Institute of Natural Sciences, Operational Directorate Natural Environments, Vautierstraat 29, 1000 Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5163-5581","authenticated-orcid":false,"given":"Koen","family":"Sabbe","sequence":"additional","affiliation":[{"name":"Protistology and Aquatic Ecology, Ghent University, Krijgslaan 281, 9000 Gent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0850-2569","authenticated-orcid":false,"given":"Wim","family":"Vyverman","sequence":"additional","affiliation":[{"name":"Protistology and Aquatic Ecology, Ghent University, Krijgslaan 281, 9000 Gent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,14]]},"reference":[{"key":"ref_1","unstructured":"CEOS (2018). Feasibility Study for an Aquatic Ecosystem Earth Observing System, Commonwealth Scientific and Industrial Research Organisation (CSIRO). Technical Report."},{"key":"ref_2","unstructured":"IOCCG (2018). Earth Observations in Support of Global Water Quality Monitoring, International Ocean-Colour Coordinating Group (IOCCG). Technical Report."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1002\/eap.1682","article-title":"Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems","volume":"28","author":"Hestir","year":"2018","journal-title":"Ecol. Appl."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"6396","DOI":"10.1002\/2014GL060641","article-title":"A global inventory of lakes based on high-resolution satellite imagery","volume":"41","author":"Verpoorter","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"7164","DOI":"10.1002\/wrcr.20440","article-title":"A simple global river bankfull width and depth database","volume":"49","author":"Andreadis","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_6","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_7","doi-asserted-by":"crossref","first-page":"096070","DOI":"10.1117\/1.JRS.9.096070","article-title":"Ocean color measurements with the Operational Land Imager on Landsat-8: Implementation and evaluation in SeaDAS","volume":"9","author":"Franz","year":"2015","journal-title":"J. Appl. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"329","DOI":"10.3389\/fmars.2017.00329","article-title":"Application of Landsat 8 for Monitoring Impacts of Wastewater Discharge on Coastal Water Quality","volume":"4","author":"Trinh","year":"2017","journal-title":"Front. Mar. Sci."},{"key":"ref_9","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_10","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.rse.2016.02.033","article-title":"A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements","volume":"177","author":"Lee","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"012005","DOI":"10.1117\/1.JRS.11.012005","article-title":"Slope algorithm to map algal blooms in inland waters for Landsat 8\/Operational Land Imager images","volume":"11","author":"Ogashawara","year":"2016","journal-title":"J. Appl. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.rse.2016.01.007","article-title":"Comparison of Landsat 8 and Landsat 7 for regional measurements of CDOM and water clarity in lakes","volume":"185","author":"Olmanson","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Stumpf, R.P., Wynne, T.T., Baker, D.B., and Fahnenstiel, G.L. (2012). Interannual Variability of Cyanobacterial Blooms in Lake Erie. PLoS ONE, 7.","DOI":"10.1371\/journal.pone.0042444"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.hal.2015.12.006","article-title":"How rising CO2 and global warming may stimulate harmful cyanobacterial blooms","volume":"54","author":"Visser","year":"2016","journal-title":"Harmful Algae"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Mishra, D.R., Ogashawara, I., and Gitelson, A.A. (2017). Bio-optical Modeling of Phycocyanin. Bio-optical Modeling and Remote Sensing of Inland Waters, Elsevier. Chapter 8.","DOI":"10.1016\/B978-0-12-804644-9.00001-X"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"237","DOI":"10.4319\/lo.2005.50.1.0237","article-title":"Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water","volume":"50","author":"Simis","year":"2005","journal-title":"Limnol. Oceanogr."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1016\/j.rse.2006.09.008","article-title":"Influence of phytoplankton pigment composition on remote sensing of cyanobacterial biomass","volume":"106","author":"Simis","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.ecss.2005.11.024","article-title":"Monitoring cyanobacterial blooms by satellite remote sensing","volume":"67","author":"Kutser","year":"2006","journal-title":"Estuarine Coast. Shelf Sci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1016\/j.rse.2012.05.032","article-title":"An algorithm for detecting trophic status (chlorophyll-a), cyanobacterial-dominance, surface scums and floating vegetation in inland and coastal waters","volume":"124","author":"Matthews","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1080\/014311697217981","article-title":"A simple method of full spectrum reconstruction by a five-band approach for ocean colour applications","volume":"18","author":"Wernand","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3301","DOI":"10.1364\/AO.53.003301","article-title":"Spectral interdependence of remote-sensing reflectance and its implications on the design of ocean color satellite sensors","volume":"53","author":"Lee","year":"2014","journal-title":"Appl. Opt."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"A718","DOI":"10.1364\/OE.23.00A718","article-title":"Reconstruction of hyperspectral reflectance for optically complex turbid inland lakes: Test of a new scheme and implications for inversion algorithms","volume":"23","author":"Sun","year":"2015","journal-title":"Opt. Express"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3055","DOI":"10.1364\/OE.23.003055","article-title":"Estimating phycocyanin pigment concentration in productive inland waters using Landsat measurements: A case study in Lake Dianchi","volume":"23","author":"Sun","year":"2015","journal-title":"Opt. Express"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"214","DOI":"10.4319\/lom.2012.10.214","article-title":"In vivo mass-specific absorption spectra of phycobilipigments through selective bleaching","volume":"10","author":"Simis","year":"2012","journal-title":"Limnol. Oceanogr. Methods"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rse.2016.03.002","article-title":"Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations","volume":"178","author":"Beck","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"647","DOI":"10.14358\/PERS.74.5.647","article-title":"Comparison of Nine Fusion Techniques for Very High Resolution Data","volume":"74","author":"Nikolakopoulos","year":"2008","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"22789","DOI":"10.1029\/93JC01273","article-title":"Determination of the major groups of phytoplankton pigments from the absorption spectra of total particulate matter","volume":"98","author":"Hoepffner","year":"1993","journal-title":"J. Geophys. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1002\/lom3.10102","article-title":"Retrieving absorption coefficients of multiple phytoplankton pigments from hyperspectral remote sensing reflectance measured over cyanobacteria bloom waters","volume":"14","author":"Wang","year":"2016","journal-title":"Limnol. Oceanogr. Methods"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.rse.2014.08.001","article-title":"On-orbit radiometric characterization of OLI (Landsat-8) for applications in aquatic remote sensing","volume":"154","author":"Pahlevan","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.rse.2017.08.033","article-title":"Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations","volume":"201","author":"Pahlevan","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.4319\/lo.1990.35.8.1657","article-title":"A simple spectral solar irradiance model for cloudless maritime atmospheres","volume":"35","author":"Gregg","year":"1990","journal-title":"Limnol. Oceanogr."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/0034-4257(89)90094-1","article-title":"Geometrical and spectral distribution of sky radiance: Comparison between simulations and field measurements","volume":"27","author":"Zibordi","year":"1989","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4497","DOI":"10.1364\/AO.58.004497","article-title":"Uncertainty in global downwelling plane irradiance estimates from sintered polytetrafluoroethylene plaque radiance measurements","volume":"58","author":"Castagna","year":"2019","journal-title":"Appl. Opt."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2013.02.012","article-title":"Uncertainties of SeaWiFS and MODIS remote sensing reflectance: Implications from clear water measurements","volume":"133","author":"Hu","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_35","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_36","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 archive","volume":"225","author":"Vanhellemont","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1634","DOI":"10.1175\/2009JTECHO654.1","article-title":"AERONET-OC: A Network for the Validation of Ocean Color Primary Products","volume":"26","author":"Zibordi","year":"2009","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Spyrakos, E., O\u2019Donnell, R., Hunter, P.D., Miller, C., Scott, M., Simis, S.G.H., Neil, C., Barbosa, C.C.F., Binding, C.E., and Bradt, S. (2017). Optical types of inland and coastal waters. Limnol. Oceanogr., 63.","DOI":"10.1002\/lno.10674"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Scott, M.D., Ramaswamy, L., and Lawson, V. (2016, January 1\u20133). CyanoTRACKER: A Citizen Science Project for Reporting Harmful Algal Blooms. Proceedings of the 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC), Pittsburgh, PA, USA.","DOI":"10.1109\/CIC.2016.058"},{"key":"ref_40","unstructured":"Fu, G., Baith, K.S., and McClain, C.R. (1998, January 28\u201331). SeaDAS: The SeaWiFS Data Analysis System. Proceedings of the Fourth Ocean Remote Sensing Conference, Qingdao, China."},{"key":"ref_41","unstructured":"R Core Team (2017). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_42","unstructured":"Descy, J.P., Pirlot, S., Verniers, G., Viroux, L., Lara, Y., Wilmotte, A., Vyverman, W., Vanormelingen, P., Van Wichelen, J., and Van Gremberghe, I. (2011). B-BLOOMS 2-Cyanobacterial Blooms: Toxicity, Diversity, Modeling and Management, Technical Report."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1693","DOI":"10.1364\/AO.52.001693","article-title":"Robust approach to directly measuring water-leaving radiance in the field","volume":"52","author":"Lee","year":"2013","journal-title":"Appl. Opt."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"10232","DOI":"10.3390\/rs61010232","article-title":"The Spectral Response of the Landsat-8 Operational Land Imager","volume":"6","author":"Barsi","year":"2014","journal-title":"Remote Sens."},{"key":"ref_45","unstructured":"Mueller, J.L., Morel, A., Frouin, R., Davis, C., Arnone, R., Carder, K., Lee, Z., Steward, R.G., Hooker, S., and Mobley, C.D. (2003). Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 4, Volume III: Radiometric Measurements and Data Analysis Protocols, Technical Report."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"37","DOI":"10.3354\/meps254037","article-title":"Effects of UVB radiation and salt stress on growth, pigments and antioxidative defence of the marine diatom Cylindrotheca closterium","volume":"254","author":"Rijstenbil","year":"2003","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1016\/S0032-9592(98)00153-8","article-title":"Phycocyanin from Spirulina sp: Influence of processing of biomass on phycocyanin yield, analysis of efficacy of extraction methods and stability studies on phycocyanin","volume":"34","author":"Sarada","year":"1999","journal-title":"Process Biochem."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1083\/jcb.58.2.419","article-title":"Complementary chromatic adaptation in a filamentous blue-green alga","volume":"58","author":"Bennett","year":"1973","journal-title":"J. Cell Biol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/S0378-4347(00)00603-4","article-title":"Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments","volume":"910","author":"Thomas","year":"2001","journal-title":"J. Chromatogr. A"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2208","DOI":"10.3390\/rs70202208","article-title":"Landsat-8 Operational Land Imager (OLI) radiometric performance on-orbit","volume":"7","author":"Morfitt","year":"2015","journal-title":"Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.rse.2011.07.024","article-title":"The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission","volume":"120","author":"Donlon","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_52","unstructured":"OLCI Expert Support Laboratories (2019). S3 OLCI Cyclic Performance Report, European Space Agency. Technical Report 44."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"300","DOI":"10.3389\/fmars.2017.00300","article-title":"Bio-optical Properties of Cyanobacteria Blooms in Western Lake Erie","volume":"4","author":"Moore","year":"2017","journal-title":"Front. Mar. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.rse.2014.08.026","article-title":"A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake: Theoretical basis and practical considerations","volume":"154","author":"Qi","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_55","unstructured":"Dekker, A.G. (1993). Detection of Optical Water Quality Parameters for Eutrophic Waters by High Resolution Remote Sensing. [Ph.D. Thesis, Vrije University]."},{"key":"ref_56","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_57","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.rse.2016.12.030","article-title":"Landsat 8 remote sensing reflectance (R rs ) products: Evaluations, intercomparisons, and enhancements","volume":"190","author":"Pahlevan","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Wang, G., Lee, Z., and Mouw, C. (2017). Multi-Spectral Remote Sensing of Phytoplankton Pigment Absorption Properties in Cyanobacteria Bloom Waters: A Regional Example in the Western Basin of Lake Erie. Remote Sens., 9.","DOI":"10.3390\/rs9121309"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/4\/637\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:57:54Z","timestamp":1760173074000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/4\/637"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,14]]},"references-count":58,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2020,2]]}},"alternative-id":["rs12040637"],"URL":"https:\/\/doi.org\/10.3390\/rs12040637","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,14]]}}}