{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:37:31Z","timestamp":1773931051452,"version":"3.50.1"},"reference-count":55,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T00:00:00Z","timestamp":1651104000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"China National Funds for Distinguished Young Scientists","award":["41925001"],"award-info":[{"award-number":["41925001"]}]},{"name":"China National Funds for Distinguished Young Scientists","award":["2015-48"],"award-info":[{"award-number":["2015-48"]}]},{"name":"China National Funds for Distinguished Young Scientists","award":["Q2016161"],"award-info":[{"award-number":["Q2016161"]}]},{"name":"China National Funds for Distinguished Young Scientists","award":["19lgjc02"],"award-info":[{"award-number":["19lgjc02"]}]},{"name":"the National Youth Top-Notch Talent Support Program","award":["41925001"],"award-info":[{"award-number":["41925001"]}]},{"name":"the National Youth Top-Notch Talent Support Program","award":["2015-48"],"award-info":[{"award-number":["2015-48"]}]},{"name":"the National Youth Top-Notch Talent Support Program","award":["Q2016161"],"award-info":[{"award-number":["Q2016161"]}]},{"name":"the National Youth Top-Notch Talent Support Program","award":["19lgjc02"],"award-info":[{"award-number":["19lgjc02"]}]},{"name":"the Changjiang Young Scholars Program of China","award":["41925001"],"award-info":[{"award-number":["41925001"]}]},{"name":"the Changjiang Young Scholars Program of China","award":["2015-48"],"award-info":[{"award-number":["2015-48"]}]},{"name":"the Changjiang Young Scholars Program of China","award":["Q2016161"],"award-info":[{"award-number":["Q2016161"]}]},{"name":"the Changjiang Young Scholars Program of China","award":["19lgjc02"],"award-info":[{"award-number":["19lgjc02"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["41925001"],"award-info":[{"award-number":["41925001"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["2015-48"],"award-info":[{"award-number":["2015-48"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["Q2016161"],"award-info":[{"award-number":["Q2016161"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["19lgjc02"],"award-info":[{"award-number":["19lgjc02"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Winter cereals, including wheat, rye, barley, and triticale, are important food crops, and it is crucial to identify the distribution of winter cereals for monitoring crop growth and predicting yield. The production and plating area of winter cereals in Europe both contribute 12.57% to the total global cereal production and plating area in 2020. However, the distribution maps of winter cereals with high spatial resolution are scarce in Europe. Here, we first used synthetic aperture radar (SAR) data from Sentinel-1 A\/B, in the Interferometric Wide (IW) swath mode, to distinguish rapeseed and winter cereals; we then used a time-weighted dynamic time warping (TWDTW) method to discriminate winter cereals from other crops by comparing the similarity of seasonal changes in the Normalized Difference Vegetation Index (NDVI) from Landsat and Sentinel-2 images. We generated winter cereal maps for 2016\u20132020 that cover 32 European countries with 30 m spatial resolution. Validation using field samples obtained from the Google Earth Engine (GEE) platform show that the producer\u2019s and user\u2019s accuracies are 91% \u00b1 7.8% and 89% \u00b1 10.3%, respectively, averaged over 32 countries in Europe. The winter cereal map agrees well with agricultural census data for planted winter cereal areas at municipal and country levels, with the averaged coefficient of determination R2 as 0.77 \u00b1 0.15 for 2016\u20132019. In addition, our method can identify the distribution of winter cereals two months before harvest, with an overall accuracy of 88.4%, indicating that TWDTW is an effective method for timely crop growth monitoring and identification at the continent level. The winter cereal maps in Europe are available via an open-data repository.<\/jats:p>","DOI":"10.3390\/rs14092120","type":"journal-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T22:20:06Z","timestamp":1651184406000},"page":"2120","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["High-Resolution Mapping of Winter Cereals in Europe by Time Series Landsat and Sentinel Images for 2016\u20132020"],"prefix":"10.3390","volume":"14","author":[{"given":"Xiaojuan","family":"Huang","sequence":"first","affiliation":[{"name":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"given":"Yangyang","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"given":"Jingjing","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multiphase Flow in Power Engineering, Department of Environmental Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5742-511X","authenticated-orcid":false,"given":"Jie","family":"Dong","sequence":"additional","affiliation":[{"name":"College of Geomatics & Municipal Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China"}]},{"given":"Yi","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"given":"Baihong","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9039-0174","authenticated-orcid":false,"given":"Sergii","family":"Skakun","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA"}]},{"given":"Wenping","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1016\/j.apgeog.2012.02.004","article-title":"Chinese drought, bread and the Arab Spring","volume":"34","author":"Sternberg","year":"2012","journal-title":"Appl. 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