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Improved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV-based classification

dc.contributor.authorWu, Songjun
dc.contributor.authorTetzlaff, Doerthe
dc.contributor.authorDaempfling, Hauke
dc.contributor.authorSoulsby, Chris
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.contributor.institutionUniversity of Aberdeen.Northern Rivers Institute (NRI)en
dc.date.accessioned2023-11-06T17:37:00Z
dc.date.available2023-11-06T17:37:00Z
dc.date.issued2023-09-13
dc.descriptionFunding Information: Songjun Wu was funded by the Chinese Scholarship Council (CSC). Tetzlaff's contribution was partly funded through the Einstein Research Unit “Climate and Water under Change” from the Einstein Foundation Berlin and Berlin University Alliance (grant no. ERU‐2020‐609). Contributions from Soulsby were supported by the Leverhulme Trust through the ISO‐LAND project (grant no. RPG 2018 375). We also thank colleagues from the Finck Foundation ( www.finck-stiftung.org ) Benedict Boesel and Max Kuester for the trustful collaboration and for providing access to the study sites. Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2023 The Authors. Hydrological Processes published by John Wiley & Sons Ltd.en
dc.description.statusPeer revieweden
dc.format.extent16
dc.format.extent7115622
dc.identifier281987048
dc.identifier4d8dc582-5949-4de2-90aa-cbde614531a4
dc.identifier85170650239
dc.identifier.citationWu, S, Tetzlaff, D, Daempfling, H & Soulsby, C 2023, 'Improved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV-based classification', Hydrological Processes, vol. 37, no. 9, e14988. https://doi.org/10.1002/hyp.14988en
dc.identifier.doi10.1002/hyp.14988
dc.identifier.issn0885-6087
dc.identifier.urihttps://hdl.handle.net/2164/22121
dc.identifier.urlhttps://www.scopus.com/pages/publications/85170650239en
dc.language.isoeng
dc.relation.ispartofHydrological Processesen
dc.subjectecohydrologyen
dc.subjectremote sensed vegetation dynamicsen
dc.subjectsoil moistureen
dc.subjectUAVen
dc.subjectunmanned aerial vehiclesen
dc.subjectwetlandsen
dc.subjectTC Hydraulic engineering. Ocean engineeringen
dc.subjectGE Environmental Sciencesen
dc.subjectWater Science and Technologyen
dc.subject.lccTCen
dc.subject.lccGEen
dc.titleImproved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV-based classificationen
dc.typeJournal articleen

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