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Mapping and understanding Earth: Open access to digital geoscience data and knowledge supports societal needs and UN sustainable development goals. <i>International Journal of Applied Earth Observation and Geoinformation 130</i>. <a href=\"https://dx.doi.org/10.1016/j.jag.2024.103835\" target=\"_blank\">https://dx.doi.org/10.1016/j.jag.2024.103835</a>","StandardTitle":"Mapping and understanding Earth: Open access to digital geoscience data and knowledge supports societal needs and UN sustainable development goals","AuthorsString":"Hinsby, K. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":368306,"RR":"<b>Zhang, T.; Tian, B.; Wang, Y.; Liu, D.; Zhou, Y.; van der Wal, D.</b> (2023). 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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>","StandardTitle":"Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data","AuthorsString":"Jin, J. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":352766,"RR":"<b>Li, Y.; Yang, K.; Gao, S.; Smith, L.C.; Fettweis, X.; Li, M.</b> (2022). 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