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Grassland mowing detection using sentinel-1 time series: potential and limitations. <i>Remote Sens. 13(3)</i>: 348. <a href=\"https://dx.doi.org/10.3390/rs13030348\" target=\"_blank\">https://dx.doi.org/10.3390/rs13030348</a>","AutID":196860,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":305459,"RR":"<b>Radoux, J.; Bourdouxhe, A.; Coos, W.; Dufrêne, M.; Defourny, P.</b> (2019). Improving ecotope segmentation by combining topographic and spectral data. <i>Remote Sens. 11(3)</i>: 354. <a href=\"https://dx.doi.org/10.3390/rs11030354\" target=\"_blank\">https://dx.doi.org/10.3390/rs11030354</a>","AutID":196860,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":285325,"RR":"<b>Lamarche, C.; Santoro, M.; Bontemps, S.; d'Andrimont, R.; Radoux, J.; Giustarini, L.; Brockmann, C.; Wevers, J.; Defourny, P.; Arino, O.</b> (2017). Compilation and validation of SAR and optical data products for a complete and global map of inland/ocean water tailored to the climate modeling community. <i>Remote Sens. 9(1)</i>: 20 pp. <a href=\"https://dx.doi.org/10.3390/rs9010036\" target=\"_blank\">https://dx.doi.org/10.3390/rs9010036</a>","AutID":255592,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":247107,"RR":"<b>Pekel, F; Vancutsem, C; Bastin, L; Clerici, M; Vanbogaert, E.; Bartholome, E; Defourny, P.</b> (2014). A near real-time water surface detection method based on HSV transformation of MODIS multi-spectral time series data. <i>Remote Sens. Environ. 140</i>: 704-716. <a href=\"http://dx.doi.org/10.1016/j.rse.2013.10.008\" target=\"_blank\">dx.doi.org/10.1016/j.rse.2013.10.008</a>","AutID":196860,"MonDate":null,"AnaDate":2014,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":257322,"RR":"<b>Hollmann, R.; Merchant, C.; Saunders, R.; Downy, C.; Buchwitz, M.; Cazenave, A.; Chuvieco, E.; Defourny, P.; de Leeuw, G.; Forsberg, R.; Holzer-Popp, T.; Paul, F.; Sandven, S.; Sathyendranath, S.; van Roozendael, M.; Wagner, W.</b> (2013). The ESA Climate Change Initiative: satellite data records for essential climate variables. <i>Bull. Am. Meteorol. Soc. 94(10)</i>: 1541-1552. <a href=\"http://dx.doi.org/10.1175/BAMS-D-11-00254.1\" target=\"_blank\">dx.doi.org/10.1175/BAMS-D-11-00254.1</a>","AutID":196860,"MonDate":null,"AnaDate":2013,"PeerRev":1,"outputType":"1_A1","OpenAcc":1}],"PeerRevRef":[{"BRefID":360325,"RR":"<b>Radoux, J.; Bourdouxhe, A.; Coppée, T.; De Vroey, M.; Dufrêne, M.; Defourny, P.</b> (2023). A consistent land cover map time series at 2 m spatial resolution—the LifeWatch 2006-2015-2018-2019 Dataset for Wallonia. <i>Data 8(1)</i>: 13. <a href=\"https://dx.doi.org/10.3390/data8010013\" target=\"_blank\">https://dx.doi.org/10.3390/data8010013</a>","AutID":196860,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"2_PeerRevRef","OpenAcc":1},{"BRefID":238586,"RR":"<b>Bontemps, S.; Defourny, P.; Brockmann, C.; Herold, M.; Kalogirou, V.; Arino, O.</b> (2012). New global land cover mapping exercise in the framework of the ESA Climate Change Initiative, <b><i>in</i></b>: <i>IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012). Proceedings of a meeting held 22-27 July 2012, Munich, Germany. IEEE International Symposium on Geoscience and Remote Sensing IGARSS,</i> : pp. 44-47","AutID":181364,"MonDate":null,"AnaDate":2012,"PeerRev":1,"outputType":"2_PeerRevRef","OpenAcc":0}],"ThesisPromotor":[{"BRefID":368352,"RR":"<b>De Vroey, M.</b> (2023). 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