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A TERRESTRIAL LASER SCANNING MEASUREMENT STATION TO MONITOR LONG-TERM STRUCTURAL DYNAMICS IN A BOREAL FOREST
- Source :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 27-31 (2020)
- Publication Year :
- 2020
- Publisher :
- Copernicus GmbH, 2020.
-
Abstract
- This work presents a data acquisition framework and the technical details of a permanent terrestrial laser scanning (TLS) measurement station for high spatial and temporal resolution forest observation that was developed in the Finnish Geospatial Research Institute. The TLS measurement station was established to provide hyper-temporal time series of three-dimensional point cloud data for long term monitoring of a boreal forest. Time series data acquisition framework consists of regular 14-minute scans performed by a RIEGL VZ-2000i laser scanner in every 30 minutes, resulting in the collection of 48 scans per day. The entire framework includes the setting up of the laser scanner, the initialization of daily project, the scanning data acquisition over a preset time window, the storage management of the collected data at a local measurement computer, and the transfer of data from the measurement computer to network-attached storage (NAS) for further data processes. The operability of the proposed TLS measurement station was first piloted at a test area of about 32,500 m2 in Southern Finland (60°09'N, 24°32'E). A set of several long monitoring experiments were performed over the whole growing season from the beginning of April to the end of October in 2019. As preliminary results, the time series outputs have captured detailed information on the phenological changes in the test site with sub-centimetre accuracy. For instance, it was possible to visualize plant dynamics phenomena, such as the sprouting of leaves in spring and their falling in autumn.
- Subjects :
- lcsh:Applied optics. Photonics
Geospatial analysis
010504 meteorology & atmospheric sciences
Laser scanning
lcsh:T
0211 other engineering and technologies
Point cloud
lcsh:TA1501-1820
Initialization
02 engineering and technology
computer.software_genre
lcsh:Technology
01 natural sciences
Term (time)
Data acquisition
lcsh:TA1-2040
Temporal resolution
Environmental science
Time series
lcsh:Engineering (General). Civil engineering (General)
computer
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 21949034
- Database :
- OpenAIRE
- Journal :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....1297734f61bb16fbdae6d67c70ca2656
- Full Text :
- https://doi.org/10.5194/isprs-archives-xliii-b1-2020-27-2020