A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorPuttonen, Eetuen_US
dc.contributor.authorLehtomäki, Mattien_US
dc.contributor.authorLitkey, Paulaen_US
dc.contributor.authorNäsi, Roopeen_US
dc.contributor.authorFeng, Ziyien_US
dc.contributor.authorLiang, Xinlianen_US
dc.contributor.authorWittke, Samanthaen_US
dc.contributor.authorPandzic, Milosen_US
dc.contributor.authorHakala, Teemuen_US
dc.contributor.authorKarjalainen, Mikaen_US
dc.contributor.authorPfeifer, Norberten_US
dc.contributor.departmentDepartment of Built Environmenten
dc.contributor.groupauthorGeoinformaticsen
dc.contributor.organizationNational Land Survey of Finlanden_US
dc.contributor.organizationUniversity of Novi Saden_US
dc.contributor.organizationTechnische Universität Wienen_US
dc.date.accessioned2019-05-06T09:12:07Z
dc.date.available2019-05-06T09:12:07Z
dc.date.issued2019-04-17en_US
dc.description.abstractTerrestrial Laser Scanning (TLS) can be used to monitor plant dynamics with a frequency of several times per hour and with sub-centimeter accuracy, regardless of external lighting conditions. TLS point cloud time series measured at short intervals produce large quantities of data requiring fast processing techniques. These must be robust to the noise inherent in point clouds. This study presents a general framework for monitoring circadian rhythm in plant movements from TLS time series. Framework performance was evaluated using TLS time series collected from two Norway maples (Acer platanoides) and a control target, a lamppost. The results showed that the processing framework presented can capture a plant's circadian rhythm in crown and branches down to a spatial resolution of 1 cm. The largest movements in both Norway maples were observed before sunrise and at their crowns' outer edges. The individual cluster movements were up to 0.17 m (99th percentile) for the taller Norway maple and up to 0.11 m (99th percentile) for the smaller tree from their initial positions before sunset.en
dc.description.versionPeer revieweden
dc.format.extent14
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationPuttonen, E, Lehtomäki, M, Litkey, P, Näsi, R, Feng, Z, Liang, X, Wittke, S, Pandzic, M, Hakala, T, Karjalainen, M & Pfeifer, N 2019, ' A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series ', Frontiers in Plant Science, vol. 10, 486 . https://doi.org/10.3389/fpls.2019.00486en
dc.identifier.doi10.3389/fpls.2019.00486en_US
dc.identifier.issn1664-462X
dc.identifier.otherPURE UUID: 58a3b520-9869-4c85-afff-5557032c1a90en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/58a3b520-9869-4c85-afff-5557032c1a90en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85067354351&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/33496573/fpls_10_00486.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/37667
dc.identifier.urnURN:NBN:fi:aalto-201905062787
dc.language.isoenen
dc.publisherFrontiers Media S.A
dc.relation.ispartofseriesFRONTIERS IN PLANT SCIENCEen
dc.relation.ispartofseriesVolume 10en
dc.rightsopenAccessen
dc.subject.keywordlaser scanningen_US
dc.subject.keywordtime seriesen_US
dc.subject.keywordstructural dynamicsen_US
dc.subject.keywordcircadian rhythmen_US
dc.subject.keywordphenologyen_US
dc.subject.keywordPOINT CLOUDSen_US
dc.subject.keywordTREE MODELSen_US
dc.subject.keywordCANOPY STRUCTUREen_US
dc.subject.keywordLEAF GROWTHen_US
dc.subject.keywordSTEMen_US
dc.subject.keywordRECONSTRUCTIONen_US
dc.subject.keywordARABIDOPSISen_US
dc.subject.keywordQUANTIFICATIONen_US
dc.subject.keywordMOVEMENTSen_US
dc.subject.keywordPHENOLOGYen_US
dc.subject.keywordStructural dynamicsen_US
dc.subject.keywordTime seriesen_US
dc.subject.keywordCircadian rhythmen_US
dc.subject.keywordPhenologyen_US
dc.subject.keywordLaser scanningen_US
dc.titleA Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Seriesen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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