Literature DB >> 33488656

A Long-Term Terrestrial Laser Scanning Measurement Station to Continuously Monitor Structural and Phenological Dynamics of Boreal Forest Canopy.

Mariana Batista Campos1, Paula Litkey1, Yunsheng Wang1, Yuwei Chen1, Heikki Hyyti1, Juha Hyyppä1, Eetu Puttonen1.   

Abstract

The terrestrial laser scanner (TLS) has become standard technology for vegetation dynamics monitoring. TLS time series have significant underlying application in investigating structural development and dynamics on a daily and seasonal scale. However, the high potential of TLS for the monitoring of long-term temporal phenomena in fully grown trees with high spatial and temporal resolution has not yet been fully explored. Automated TLS platforms for long-term data collection and monitoring of forest dynamics are rare; and long-term TLS time series data is not yet readily available to potential end-user, such as forestry researchers and plant biologists. This work presents an automated and permanent TLS measurement station that collects high frequency and high spatial resolution TLS time series, aiming to monitor short- and long-term phenological changes at a boreal forestry field station (0.006° angular resolution, one scan per hour). The measurement station is the first of its kind considering the scope, accuracy, and length of the time series it produces. The TLS measurement station provides a unique dataset to monitor the 3D physical structure of a boreal forest, enabling new insights into forest dynamics. For instance, the information collected by the TLS station can be used to accurately detect structural changes in tree crowns surrounding the station. These changes and their timing can be linked with the phenological state of plants, such as the start of leaf-out during spring growing season. As the first results of this novel station, we present time series data products collected with the station and what detailed information it provides about the phenological changes in the test site during the leaf sprout in spring.
Copyright © 2021 Campos, Litkey, Wang, Chen, Hyyti, Hyyppä and Puttonen.

Entities:  

Keywords:  TLS time series; boreal forest monitoring; circadian movement; forest dynamics; vegetation phenology

Year:  2021        PMID: 33488656      PMCID: PMC7817955          DOI: 10.3389/fpls.2020.606752

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


  6 in total

1.  Leaf Movements of Indoor Plants Monitored by Terrestrial LiDAR.

Authors:  Mónica Herrero-Huerta; Roderik Lindenbergh; Wolfgang Gard
Journal:  Front Plant Sci       Date:  2018-02-16       Impact factor: 5.753

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

Authors:  Eetu Puttonen; Matti Lehtomäki; Paula Litkey; Roope Näsi; Ziyi Feng; Xinlian Liang; Samantha Wittke; Miloš Pandžić; Teemu Hakala; Mika Karjalainen; Norbert Pfeifer
Journal:  Front Plant Sci       Date:  2019-04-17       Impact factor: 5.753

3.  Quantification of Overnight Movement of Birch (Betula pendula) Branches and Foliage with Short Interval Terrestrial Laser Scanning.

Authors:  Eetu Puttonen; Christian Briese; Gottfried Mandlburger; Martin Wieser; Martin Pfennigbauer; András Zlinszky; Norbert Pfeifer
Journal:  Front Plant Sci       Date:  2016-02-29       Impact factor: 5.753

4.  Not All Trees Sleep the Same-High Temporal Resolution Terrestrial Laser Scanning Shows Differences in Nocturnal Plant Movement.

Authors:  András Zlinszky; Bence Molnár; Anders S Barfod
Journal:  Front Plant Sci       Date:  2017-10-20       Impact factor: 5.753

5.  Seasonal dynamics of stem N2O exchange follow the physiological activity of boreal trees.

Authors:  Katerina Machacova; Elisa Vainio; Otmar Urban; Mari Pihlatie
Journal:  Nat Commun       Date:  2019-11-01       Impact factor: 14.919

  6 in total
  1 in total

1.  A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, The Netherlands.

Authors:  Sander Vos; Katharina Anders; Mieke Kuschnerus; Roderik Lindenbergh; Bernhard Höfle; Stefan Aarninkhof; Sierd de Vries
Journal:  Sci Data       Date:  2022-04-28       Impact factor: 8.501

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.