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Locally developed models improve the accuracy of remotely a..:
Helio Herminio Checon
;
Yasmina Shah Esmaeili
;
Guilherme N. Corte
..
https://peerj.com/articles/13413.pdf. , 2022
Link:
https://doi.org/10.7717/peerj.13413
RT Journal T1
Locally developed models improve the accuracy of remotely assessed metrics as a rapid tool to classify sandy beach morphodynamics
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:fa7ccd5d3aa14bd38402a58afb2202f2&Exemplar=1&LAN=DE A1 Helio Herminio Checon A1 Yasmina Shah Esmaeili A1 Guilherme N. Corte A1 Nicole Malinconico A1 Alexander Turra PB PeerJ Inc. YR 2022 K1 Conditional tree inference K1 Environmental modelling K1 Brazilian coast K1 Coastal management K1 Medicine K1 R K1 Biology (General) K1 QH301-705.5 JF https://peerj.com/articles/13413.pdf LK http://dx.doi.org/https://doi.org/10.7717/peerj.13413 DO https://doi.org/10.7717/peerj.13413 SF ELIB - SuUB Bremen
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