10.3389/fpls.2019.00486.s003
Eetu Puttonen
Eetu
Puttonen
Matti Lehtomäki
Matti
Lehtomäki
Paula Litkey
Paula
Litkey
Roope Näsi
Roope
Näsi
Ziyi Feng
Ziyi
Feng
Xinlian Liang
Xinlian
Liang
Samantha Wittke
Samantha
Wittke
Miloš Pandžić
Miloš
Pandžić
Teemu Hakala
Teemu
Hakala
Mika Karjalainen
Mika
Karjalainen
Norbert Pfeifer
Norbert
Pfeifer
Video_1_A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series.MP4
Frontiers
2019
laser scanning
time series
structural dynamics
circadian rhythm
phenology
2019-04-17 04:31:03
Media
https://frontiersin.figshare.com/articles/media/Video_1_A_Clustering_Framework_for_Monitoring_Circadian_Rhythm_in_Structural_Dynamics_in_Plants_From_Terrestrial_Laser_Scanning_Time_Series_MP4/8003114
<p>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.</p>