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Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data. <i>International Journal of Applied Earth Observation and Geoinformation 102</i>: 102458. <a href=\"https://dx.doi.org/10.1016/j.jag.2021.102458\" target=\"_blank\">https://dx.doi.org/10.1016/j.jag.2021.102458</a>","AutID":258278,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":355818,"RR":"<b>Jin, J.; De Sloover, L.; Verbeurgt, J.; Stal, C.; Deruyter, G.; Montreuil, A.-L.; De Maeyer, P.; De Wulf, A.</b> (2020). Measuring surface moisture on a sandy beach based on corrected intensity data of a mobile terrestrial LiDAR. <i>Remote Sens. 12(2)</i>: 209. <a href=\"https://dx.doi.org/10.3390/rs12020209\" target=\"_blank\">https://dx.doi.org/10.3390/rs12020209</a>","AutID":258278,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":295602,"RR":"<b>Glas, H.; Jonckheere, M.; Mandal, A.; James-Williamson, S.; De Maeyer, P.; Deruyter, G.</b> (2017). A GIS-based tool for flood damage assessment and delineation of a methodology for future risk assessment: case study for Annotto Bay, Jamaica. <i>Nat. Hazards 88(3)</i>: 1867-1891. <a href=\"https://dx.doi.org/10.1007/s11069-017-2920-5\" target=\"_blank\">https://dx.doi.org/10.1007/s11069-017-2920-5</a>","AutID":258278,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":285386,"RR":"<b>Glas, H.; Deruyter, G.; De Maeyer, P.; Mandal, A.; James-Williamson, S.</b> (2016). 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