{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T23:45:35Z","timestamp":1773445535238,"version":"3.50.1"},"reference-count":75,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,12,27]],"date-time":"2018-12-27T00:00:00Z","timestamp":1545868800000},"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>Monitoring vegetation cover during winter is a major environmental and scientific issue in agricultural areas. From an environmental viewpoint, the presence and type of vegetation cover in winter influences the transport of pollutants to water resources. From a methodological viewpoint, characterizing spatio-temporal dynamics of land cover and land use at the field scale is challenging due to the diversity of farming strategies and practices in winter. The objective of this study was to evaluate the respective advantages of Sentinel optical and SAR time-series to identify land use in winter. To this end, Sentinel-1 and -2 time-series were classified using Support Vector Machine and Random Forest algorithms in a 130 km\u00b2 agricultural area. From the classification, the Sentinel-2 time-series identified winter land use more accurately (overall accuracy (OA) = 75%, Kappa index = 0.70) than that of Sentinel-1 (OA = 70%, Kappa = 0.66) but a combination of the Sentinel-1 and -2 time-series was the most accurate (OA = 81%, Kappa = 0.77). Our study outlines the effectiveness of Sentinel-1 and -2 for identify land use in winter, which can help to change agricultural practices.<\/jats:p>","DOI":"10.3390\/rs11010037","type":"journal-article","created":{"date-parts":[[2018,12,27]],"date-time":"2018-12-27T11:29:43Z","timestamp":1545910183000},"page":"37","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":80,"title":["Evaluation of Using Sentinel-1 and -2 Time-Series to Identify Winter Land Use in Agricultural Landscapes"],"prefix":"10.3390","volume":"11","author":[{"given":"Julien","family":"Denize","sequence":"first","affiliation":[{"name":"Institute of Electronics and Telecommunications of Rennes IETR, UMR CNRS 6164, University of Rennes, 35000 Rennes, France"}]},{"given":"Laurence","family":"Hubert-Moy","sequence":"additional","affiliation":[{"name":"Littoral-Environnement-T\u00e9l\u00e9d\u00e9tection-G\u00e9omatique LETG UMR 6554, University of Rennes, 35 000 Rennes, France"}]},{"given":"Julie","family":"Betbeder","sequence":"additional","affiliation":[{"name":"Internal Research Unit Forests &amp; Societies, Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement CIRAD, 34 398 Montpellier, France"}]},{"given":"Samuel","family":"Corgne","sequence":"additional","affiliation":[{"name":"Littoral-Environnement-T\u00e9l\u00e9d\u00e9tection-G\u00e9omatique LETG UMR 6554, University of Rennes, 35 000 Rennes, France"}]},{"given":"Jacques","family":"Baudry","sequence":"additional","affiliation":[{"name":"L\u2019unit\u00e9 mixte de recherche Biodiversit\u00e9, AGro\u00e9cologie et Am\u00e9nagement du Paysage UMR BAGAP, Institut National De La Recherche Agronomique, INRA, 35 000 Rennes, France"}]},{"given":"Eric","family":"Pottier","sequence":"additional","affiliation":[{"name":"Institute of Electronics and Telecommunications of Rennes IETR, UMR CNRS 6164, University of Rennes, 35000 Rennes, France"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5853","DOI":"10.3390\/su6095853","article-title":"Agriculture and Eutrophication: Where Do We Go from Here?","volume":"6","author":"Withers","year":"2014","journal-title":"Sustainability"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1126\/science.1136674","article-title":"Transformation of the Nitrogen Cycle: Recent Trends, Questions, and Potential Solutions","volume":"320","author":"Galloway","year":"2008","journal-title":"Science"},{"key":"ref_3","first-page":"207","article-title":"Cover Crop Impacts on Watershed Hydrology","volume":"53","author":"Dabney","year":"1998","journal-title":"J. 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