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>