{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:34:15Z","timestamp":1781973255282,"version":"3.54.5"},"reference-count":66,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2019,9,29]],"date-time":"2019-09-29T00:00:00Z","timestamp":1569715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008702","name":"ESA","doi-asserted-by":"publisher","award":["4000125043 - ESA\/AO\/1-9101\/17\/I-NB EO SCIENCE FOR SOCIETY"],"award-info":[{"award-number":["4000125043 - ESA\/AO\/1-9101\/17\/I-NB EO SCIENCE FOR SOCIETY"]}],"id":[{"id":"10.13039\/501100008702","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Sentinel Application Platform (SNAP) architecture facilitates Earth Observation data processing. In this work, we present results from a new Snow Processor for SNAP. We also describe physical principles behind the developed snow property retrieval technique based on the analysis of Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3A\/B measurements over clean and polluted snow fields. Using OLCI spectral reflectance measurements in the range 400\u20131020 nm, we derived important snow properties such as spectral and broadband albedo, snow specific surface area, snow extent and grain size on a spatial grid of 300 m. The algorithm also incorporated cloud screening and atmospheric correction procedures over snow surfaces. We present validation results using ground measurements from Antarctica, the Greenland ice sheet and the French Alps. We find the spectral albedo retrieved with accuracy of better than 3% on average, making our retrievals sufficient for a variety of applications. Broadband albedo is retrieved with the average accuracy of about 5% over snow. Therefore, the uncertainties of satellite retrievals are close to experimental errors of ground measurements. The retrieved surface grain size shows good agreement with ground observations. Snow specific surface area observations are also consistent with our OLCI retrievals. We present snow albedo and grain size mapping over the inland ice sheet of Greenland for areas including dry snow, melted\/melting snow and impurity rich bare ice. The algorithm can be applied to OLCI Sentinel-3 measurements providing an opportunity for creation of long-term snow property records essential for climate monitoring and data assimilation studies\u2014especially in the Arctic region, where we face rapid environmental changes including reduction of snow\/ice extent and, therefore, planetary albedo.<\/jats:p>","DOI":"10.3390\/rs11192280","type":"journal-article","created":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T05:58:33Z","timestamp":1569823113000},"page":"2280","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":62,"title":["Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument"],"prefix":"10.3390","volume":"11","author":[{"given":"Alexander","family":"Kokhanovsky","sequence":"first","affiliation":[{"name":"VITROCISET Belgium SPRL, Bratustrasse 7, D-64293 Darmstadt, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maxim","family":"Lamare","sequence":"additional","affiliation":[{"name":"Institut des G\u00e9osciences de l\u2019Environnement (IGE), Universit\u00e9 Grenoble Alpes, CNRS, UMR 5001, 38041 Grenoble, France"},{"name":"Universit\u00e9 Grenoble Alpes, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, CNRM, Centre d\u2019Etudes de la Neige, 38400 Grenoble, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olaf","family":"Danne","sequence":"additional","affiliation":[{"name":"Brockmann Consult, Max Planck Strasse 2, 21502 Geesthacht, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2195-4327","authenticated-orcid":false,"given":"Carsten","family":"Brockmann","sequence":"additional","affiliation":[{"name":"Brockmann Consult, Max Planck Strasse 2, 21502 Geesthacht, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marie","family":"Dumont","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, CNRM, Centre d\u2019Etudes de la Neige, 38400 Grenoble, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1475-5853","authenticated-orcid":false,"given":"Ghislain","family":"Picard","sequence":"additional","affiliation":[{"name":"Institut des G\u00e9osciences de l\u2019Environnement (IGE), Universit\u00e9 Grenoble Alpes, CNRS, UMR 5001, 38041 Grenoble, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4432-4205","authenticated-orcid":false,"given":"Laurent","family":"Arnaud","sequence":"additional","affiliation":[{"name":"Institut des G\u00e9osciences de l\u2019Environnement (IGE), Universit\u00e9 Grenoble Alpes, CNRS, UMR 5001, 38041 Grenoble, 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