{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T17:58:41Z","timestamp":1762624721676,"version":"build-2065373602"},"reference-count":38,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>We proposed a simple algorithm to retrieve the total ozone column and snow properties (spectral albedo and effective light absorption path) using the high spatial resolution single\u2013view MSI\/S-2 measurements over Antarctica. In addition, the algorithm allows the retrieval of the snow grain size on a scale of 10\u201320 m. This algorithm should be useful for the understanding of intra-pixel total ozone and snow albedo variability in complement to satellite observations performed on a much coarser spatial resolution scale (0.3\u20131 km and even larger spatial scales).<\/jats:p>","DOI":"10.3390\/rs13214404","type":"journal-article","created":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T22:24:22Z","timestamp":1635805462000},"page":"4404","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Retrieval of Snow Albedo and Total Ozone Column from Single-View MSI\/S-2 Spectral Reflectance Measurements over Antarctica"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7110-223X","authenticated-orcid":false,"given":"Alexander","family":"Kokhanovsky","sequence":"first","affiliation":[{"name":"Telespazio Belgium SPRL, Bratustrasse 7, D-64293 Darmstadt, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4996-6768","authenticated-orcid":false,"given":"Simon","family":"Gascoin","sequence":"additional","affiliation":[{"name":"CNRS\/CNES\/IRD\/INRAE\/UPS, CESBIO, Universit\u00e9 de Toulouse, 31400 Toulouse, France"}]},{"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), University Grenoble Alpes, CNRS, UMR 5001, 38041 Grenoble, France"}]},{"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), University Grenoble Alpes, CNRS, UMR 5001, 38041 Grenoble, France"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1007\/s10750-020-04197-y","article-title":"Estimation of lake ecological quality from Sentinel-2 remote sensing imagery","volume":"847","author":"Free","year":"2020","journal-title":"Hydrobiologia"},{"doi-asserted-by":"crossref","unstructured":"Zhang, D., Fang, S., She, B., Zhang, H., Jin, N., Xia, H., Yang, Y., and Ding, Y. 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