A Long-Term Terrestrial Laser Scanning Measurement Station to Continuously Monitor Structural and Phenological Dynamics of Boreal Forest Canopy
| Autor: | Juha Hyyppä, Heikki Hyyti, Paula Litkey, Yuwei Chen, Eetu Puttonen, Yunsheng Wang, Mariana Batista Campos |
|---|---|
| Přispěvatelé: | National Land Survey of Finland, Maanmittauslaitos |
| Rok vydání: | 2021 |
| Předmět: |
vegetation phenology
forest dynamics 010504 meteorology & atmospheric sciences Laser scanning TLS time series 0211 other engineering and technologies 02 engineering and technology Plant Science lcsh:Plant culture 01 natural sciences boreal forest monitoring lcsh:SB1-1110 Time series Original Research 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Data collection Forest dynamics 15. Life on land Field (geography) Boreal Temporal resolution circadian movement Environmental science Scale (map) |
| Zdroj: | Frontiers in Plant Science Frontiers in Plant Science, Vol 11 (2021) |
| ISSN: | 1664-462X |
| DOI: | 10.3389/fpls.2020.606752 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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