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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • Eetu Puttonen
  • Matti Lehtomäki
  • Paula Litkey
  • Roope Näsi

  • Ziyi Feng
  • Xinlian Liang
  • Samantha Wittke

  • Milos Pandzic
  • Teemu Hakala
  • Mika Karjalainen
  • Norbert Pfeifer

Research units

  • National Land Survey of Finland
  • University of Novi Sad
  • Technische Universität Wien

Abstract

Terrestrial 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.

Details

Original languageEnglish
Article number486
Number of pages14
JournalFRONTIERS IN PLANT SCIENCE
Volume10
Publication statusPublished - 17 Apr 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • laser scanning, time series, structural dynamics, circadian rhythm, phenology, POINT CLOUDS, TREE MODELS, CANOPY STRUCTURE, LEAF GROWTH, STEM, RECONSTRUCTION, ARABIDOPSIS, QUANTIFICATION, MOVEMENTS, PHENOLOGY, Structural dynamics, Time series, Circadian rhythm, Phenology, Laser scanning

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