{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T09:37:07Z","timestamp":1777109827592,"version":"3.51.4"},"reference-count":61,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,17]],"date-time":"2018-11-17T00:00:00Z","timestamp":1542412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000192","name":"National Oceanic and Atmospheric Administration","doi-asserted-by":"publisher","award":["NA14NES4320003"],"award-info":[{"award-number":["NA14NES4320003"]}],"id":[{"id":"10.13039\/100000192","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Ice albedo feedback amplifies climate change signals and thus affects the global climate. Global long-term records on sea-ice albedo are important to characterize the regional or global energy budget. As the successor of MODIS (Moderate Resolution Imaging Spectroradiometer), VIIRS (Visible Infrared Imaging Radiometer Suite) started its observation from October 2011 on S-NPP (Suomi National Polar-orbiting Partnership). It has improved upon the capabilities of the operational Advanced Very High Resolution Radiometer (AVHRR) and provides observation continuity with MODIS. We used a direct estimation algorithm to produce a VIIRS sea-ice albedo (VSIA) product, which will be operational in the National Oceanic and Atmospheric Administration\u2019s (NOAA) S-NPP Data Exploration (NDE) version of the VIIRS albedo product. The algorithm is developed from the angular bin regression method to simulate the sea-ice surface bidirectional reflectance distribution function (BRDF) from physical models, which can represent different sea-ice types and vary mixing fractions among snow, ice, and seawater. We compared the VSIA with six years of ground measurements at 30 automatic weather stations from the Programme for Monitoring of the Greenland Ice Sheet (PROMICE) and the Greenland Climate Network (GC-NET) as a proxy for sea-ice albedo. The results show that the VSIA product highly agreed with the station measurements with low bias (about 0.03) and low root mean square error (RMSE) (about 0.07) considering the Joint Polar Satellite System (JPSS) requirement is 0.05 and 0.08 at 4 km scale, respectively. We also evaluated the VSIA using two datasets of field measured sea-ice albedo from previous field campaigns. The comparisons suggest that VSIA generally matches the magnitude of the ground measurements, with a bias of 0.09 between the instantaneous albedos in the central Arctic and a bias of 0.077 between the daily mean albedos near Alaska. The discrepancy is mainly due to the scale difference at both spatial and temporal dimensions and the limited sample size. The VSIA data will serve for weather prediction applications and climate model calibrations. Combined with the historical observations from MODIS, current S-NPP VIIRS, and NOAA-20 VIIRS observations, VSIA will dramatically contribute to providing high-accuracy routine sea-ice albedo products and irreplaceable records for monitoring the long-term sea-ice albedo for climate research.<\/jats:p>","DOI":"10.3390\/rs10111826","type":"journal-article","created":{"date-parts":[[2018,11,21]],"date-time":"2018-11-21T11:23:27Z","timestamp":1542799407000},"page":"1826","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["The VIIRS Sea-Ice Albedo Product Generation and Preliminary Validation"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6512-2066","authenticated-orcid":false,"given":"Jingjing","family":"Peng","sequence":"first","affiliation":[{"name":"Earth System Science Interdisciplinary Center\/Cooperative Institute for Climate and Satellites-Maryland, University of Maryland, College Park, MD 20740, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7870-5313","authenticated-orcid":false,"given":"Yunyue","family":"Yu","sequence":"additional","affiliation":[{"name":"NOAA NESDIS Center for Satellite Applications and Research, College Park, MD 20740, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Yu","sequence":"additional","affiliation":[{"name":"Earth System Science Interdisciplinary Center\/Cooperative Institute for Climate and Satellites-Maryland, University of Maryland, College Park, MD 20740, USA"},{"name":"NOAA NESDIS Center for Satellite Applications and Research, College Park, MD 20740, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2708-9183","authenticated-orcid":false,"given":"Shunlin","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences, University of Maryland, MD 20740, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"8170","DOI":"10.1038\/s41598-017-08467-z","article-title":"Evidence for ice-ocean albedo feedback in the Arctic Ocean shifting to a seasonal ice zone","volume":"7","author":"Kashiwase","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1175\/JCLI-D-14-00389.1","article-title":"Assessment of sea ice albedo radiative forcing and feedback over the Northern Hemisphere from 1982 to 2009 using satellite and reanalysis data","volume":"28","author":"Cao","year":"2015","journal-title":"J. Clim."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"L1703","DOI":"10.1029\/2007GL031972","article-title":"Accelerated decline in the Arctic sea ice cover","volume":"35","author":"Comiso","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1175\/1520-0442(2004)017<1550:TROSAF>2.0.CO;2","article-title":"The role of surface albedo feedback in climate","volume":"17","author":"Hall","year":"2004","journal-title":"J. Clim."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Laine, V., Manninen, T., Riihel\u00e4, A., and Andersson, K. (2011). Shortwave broadband black-sky surface albedo estimation for Arctic sea ice using passive microwave radiometer data. J. Geophys. Res. Atmos., 116.","DOI":"10.1029\/2011JD015700"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1175\/1520-0450(2002)041<0413:SAOTAO>2.0.CO;2","article-title":"Surface albedo over the Arctic Ocean derived from AVHRR and its validation with SHEBA data","volume":"41","author":"Xiong","year":"2002","journal-title":"J. appl. Meteorol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"457","DOI":"10.3189\/172756401781818617","article-title":"Satellite-observed variability and trend in sea-ice extent, surface temperature, albedo and clouds in the Arctic","volume":"33","author":"Comiso","year":"2001","journal-title":"Ann. Glaciol."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"De Abreu, R.A., Key, J., Maslanik, J.A., Serreze, M.C., and LeDrew, E.F. (1994). Comparison of in situ and AVHRR-derived broadband albedo over Arctic sea ice. Arctic, 288\u2013297.","DOI":"10.14430\/arctic1299"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1737","DOI":"10.1175\/1520-0442(1994)007<1737:ASIAFA>2.0.CO;2","article-title":"Arctic sea ice albedo from AVHRR","volume":"7","author":"Lindsay","year":"1994","journal-title":"J. Clim."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"12489","DOI":"10.1029\/2001JD900069","article-title":"Estimating the cloudy-sky albedo of sea ice and snow from space","volume":"106","author":"Key","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Key, J., Wang, X., Liu, Y., Dworak, R., and Letterly, A. (2016). The AVHRR polar pathfinder climate data records. Remote Sens., 8.","DOI":"10.3390\/rs8030167"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2558","DOI":"10.1175\/JCLI3438.1","article-title":"Arctic surface, cloud, and radiation properties based on the AVHRR Polar Pathfinder dataset. Part I: Spatial and temporal characteristics","volume":"18","author":"Wang","year":"2005","journal-title":"J. Clim."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2779","DOI":"10.1016\/j.rse.2010.06.014","article-title":"Validation of the Climate-SAF surface broadband albedo product: Comparisons with in situ observations over Greenland and the ice-covered Arctic Ocean","volume":"114","author":"Laine","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.rse.2004.09.001","article-title":"Accuracy assessment of the MODIS 16-day albedo product for snow: comparisons with Greenland in situ measurements","volume":"94","author":"Stroeve","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1109\/TGRS.2013.2245670","article-title":"Direct-estimation algorithm for mapping daily land-surface broadband albedo from MODIS data","volume":"52","author":"Qu","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/S0034-4257(02)00091-3","article-title":"First operational BRDF, albedo nadir reflectance products from MODIS","volume":"83","author":"Schaaf","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1175\/JCLI-D-11-00113.1","article-title":"Large decadal decline of the Arctic multiyear ice cover","volume":"25","author":"Comiso","year":"2012","journal-title":"J. Clim."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Maslanik, J., Stroeve, J., Fowler, C., and Emery, W. (2011). Distribution and trends in Arctic sea ice age through spring 2011. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL047735"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1109\/TGRS.2016.2613899","article-title":"Forward a small-timescale BRDF\/Albedo by multisensor combined brdf inversion model","volume":"55","author":"Wen","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Riihel\u00e4, A., Manninen, T., Key, J., Sun, Q., S\u00fctterlin, M., Lattanzio, A., and Schaaf, C. (2018). A Multisensor Approach to Global Retrievals of Land Surface Albedo. Remote Sens., 10.","DOI":"10.3390\/rs10060848"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Liang, S., Stroeve, J., and Box, J.E. (2005). Mapping daily snow\/ice shortwave broadband albedo from Moderate Resolution Imaging Spectroradiometer (MODIS): The improved direct retrieval algorithm and validation with Greenland in situ measurement. J. Geophys. Res. Atmos., 110.","DOI":"10.1029\/2004JD005493"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"12577","DOI":"10.1002\/2013JD020417","article-title":"Direct estimation of land surface albedo from VIIRS data: Algorithm improvement and preliminary validation","volume":"118","author":"Wang","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.rse.2016.08.015","article-title":"Estimating Arctic sea-ice shortwave albedo from MODIS data","volume":"186","author":"Qu","year":"2016","journal-title":"Remote. Sens. Environ."},{"key":"ref_24","unstructured":"Cao, C., Xiong, X., Wolfe, R., De Luccia, F., Liu, Q., Blonski, S., Lin, G., Nishihama, M., Pogorzala, D., and Oudrari, H. (2013). Visible Infrared Imaging Radiometer Suite (VIIRS) Sensor Data Record (SDR) User\u2019s Guide, NESDIS. NOAA Technical Report."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1175\/BAMS-D-12-00097.1","article-title":"First-light imagery from Suomi NPP VIIRS","volume":"94","author":"Hillger","year":"2013","journal-title":"Bull. Am. Meteor. Soc."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1016\/j.jqsrt.2010.06.006","article-title":"Modeling of radiation transport in coupled atmosphere-snow-ice-ocean systems","volume":"112","author":"Stamnes","year":"2011","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1109\/TGRS.2015.2468054","article-title":"Estimation of the ocean water albedo from remote sensing and meteorological reanalysis data","volume":"54","author":"Feng","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.rse.2015.03.012","article-title":"Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data","volume":"163","author":"Zege","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1002\/(SICI)1097-0088(199607)16:7<817::AID-JOC44>3.0.CO;2-5","article-title":"Albedo and depth of melt ponds on sea-ice","volume":"16","author":"Morassutti","year":"1996","journal-title":"Int. J. Climatol. J. Roy. Meteor. Soc."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1109\/36.581987","article-title":"Second simulation of the satellite signal in the solar spectrum, 6S: An overview","volume":"35","author":"Vermote","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Gardner, A.S., and Sharp, M.J. (2010). A review of snow and ice albedo and the development of a new physically based broadband albedo parameterization. J. Geophys. Res: Earth Surf., 115.","DOI":"10.1029\/2009JF001444"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1002\/2013JD020459","article-title":"Snow and ice products from Suomi NPP VIIRS","volume":"118","author":"Key","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.5194\/hess-17-2121-2013","article-title":"A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data","volume":"17","author":"Liu","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.rse.2017.05.030","article-title":"Evaluation of satellite remote sensing albedo retrievals over the ablation area of the southwestern Greenland ice sheet","volume":"198","author":"Moustafa","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_35","first-page":"61","article-title":"PROMICE project team. 2008. A new programme for monitoring the mass loss of the Greenland ice sheet","volume":"15","author":"Gravesen","year":"2007","journal-title":"Geol. Surv. Den. Greenl. Bull."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"101","DOI":"10.3189\/002214310791190776","article-title":"The ablation zone in northeast Greenland: ice types, albedos and impurities","volume":"56","author":"Brandt","year":"2010","journal-title":"J. Glaciol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"6218","DOI":"10.1002\/2017GL073661","article-title":"How robust are in situ observations for validating satellite-derived albedo over the dark zone of the Greenland Ice Sheet?","volume":"44","author":"Ryan","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_38","unstructured":"Steffen, K., Box, J.E., and Abdalati, W. (1996). Greenland climate network: GC-Net. US Army Cold Reg. Reattach Eng. (CRREL), CRREL Spec. Rep., 98\u2013103."},{"key":"ref_39","unstructured":"Istomina, L., Nicolaus, M., and Perovich, D.K. (2016). Surface spectral albedo complementary to ROV transmittance measurements at 6 ice stations during POLARSTERN cruise ARK-XXVII\/3 (IceArc) in 2012, PANGAEA."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1547","DOI":"10.1016\/j.scib.2017.10.014","article-title":"Sources, evolution and impacts of EC and OC in snow on sea ice: a measurement study in Barrow, Alaska","volume":"62","author":"Dou","year":"2017","journal-title":"Sci. Bull."},{"key":"ref_41","unstructured":"Hudson, S.R., Granskog, M.A., Karlsen, T.I., and Fossan, K. (2012). Horizontal profiles of longwave and shortwave radiation components over sea ice near Barrow, Alaska during the 2011 melt, PANGAEA."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"589","DOI":"10.5194\/tc-5-589-2011","article-title":"Dust from the dark region in the western ablation zone of the Greenland ice sheet","volume":"5","author":"Wientjes","year":"2011","journal-title":"Cryosphere"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"14005","DOI":"10.1088\/1748-9326\/6\/1\/014005","article-title":"The role of albedo and accumulation in the 2010 melting record in Greenland","volume":"6","author":"Tedesco","year":"2011","journal-title":"Environ Res. Lett."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"625","DOI":"10.5194\/tc-6-625-2012","article-title":"Multi-decadal marine-and land-terminating glacier recession in the Ammassalik region, southeast Greenland","volume":"6","author":"Mernild","year":"2012","journal-title":"Cryosphere"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1038\/s41467-018-03353-2","article-title":"Dark zone of the Greenland Ice Sheet controlled by distributed biologically-active impurities","volume":"9","author":"Ryan","year":"2018","journal-title":"Nat. Commun."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Grenfell, T.C., and Perovich, D.K. (2004). Seasonal and spatial evolution of albedo in a snow-ice-land-ocean environment. J. Geophys. Res. Atmos Oceans, 109.","DOI":"10.1029\/2003JC001866"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.5194\/tc-11-1091-2017","article-title":"In situ continuous visible and near-infrared spectroscopy of an alpine snowpack","volume":"11","author":"Dumont","year":"2017","journal-title":"Cryosphere"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Wang, W., Cao, C., Bai, Y., Blonski, S., and Schull, M.A. (2017). Assessment of the NOAA S-NPP VIIRS Geolocation Reprocessing Improvements. Remote Sens., 9.","DOI":"10.3390\/rs9100974"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.rse.2009.10.014","article-title":"MODIS snow albedo bias at high solar zenith angles relative to theory and to in situ observations in Greenland","volume":"114","author":"Wang","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_50","unstructured":"(2018, November 16). Natural Earth. Available online: https:\/\/www.naturalearthdata.com\/downloads\/50m-cross-blend-hypso\/50m-cross-blended-hypso-with-shaded-relief\/ URL."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.cageo.2016.08.015","article-title":"PolarBRDF: A general purpose Python package for visualization and quantitative analysis of multi-angular remote sensing measurements","volume":"96","author":"Singh","year":"2016","journal-title":"Comput. Geosci."},{"key":"ref_52","first-page":"F1","article-title":"A review of snow and ice albedo and the development of a new physically based 770 broadband albedo parameterization","volume":"115","author":"Gardner","year":"2010","journal-title":"J. Geophys. Res: Earth Surf."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"SHE-20","DOI":"10.1029\/2000JC000438","article-title":"Seasonal evolution of the albedo of multiyear 772 Arctic sea ice","volume":"107","author":"Perovich","year":"2002","journal-title":"J. Geophys. Res. Atmos Oceans"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"337","DOI":"10.3189\/S0260305500016037","article-title":"Spectral albedo of snow-covered first-year and multi-year sea ice during spring melt","volume":"21","author":"Barber","year":"1995","journal-title":"Ann. Glaciol."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Wang, W., Zender, C.S., Van As, D., Smeets, P., and van den Broeke, M.R. (2015). A Retrospective, Iterative, Geometry-776 Based (RIGB) tilt correction method for radiation observed by Automatic Weather Stations on snow-777 covered surfaces: application to Greenland. Cryosphere Discuss., 9.","DOI":"10.5194\/tcd-9-6025-2015"},{"key":"ref_56","unstructured":"Kipp, Z. (2018, November 16). CM3 Pyranometer instruction manual. Available online: https:\/\/s.campbellsci.com\/documents\/au\/manuals\/cm3.pdf. URL."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2674","DOI":"10.1016\/j.rse.2011.06.001","article-title":"Algorithm for retrieval of the effective snow grain size and pollution amount from satellite measurements","volume":"115","author":"Zege","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"139","DOI":"10.3189\/172756408787815004","article-title":"New algorithm to retrieve the effective snow grain size and pollution amount from satellite data","volume":"49","author":"Zege","year":"2008","journal-title":"Ann. Glaciol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1007\/s11430-014-4997-y","article-title":"Multi-scale validation strategy for satellite albedo products and its uncertainty analysis","volume":"58","author":"Peng","year":"2014","journal-title":"Sci. China Earth Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1921","DOI":"10.5194\/tc-12-1921-2018","article-title":"Reflective properties of melt ponds on sea ice","volume":"12","author":"Malinka","year":"2018","journal-title":"Cryosphere"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1029\/97JC01614","article-title":"Variability in Arctic sea ice optical properties","volume":"103","author":"Perovich","year":"1998","journal-title":"J. Geophys. Res. Atmos Oceans"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1826\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:30:26Z","timestamp":1760196626000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1826"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,17]]},"references-count":61,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["rs10111826"],"URL":"https:\/\/doi.org\/10.3390\/rs10111826","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,17]]}}}