Terrestrial Laser Scanning Point Clouds and Tree Attributes from 55 Sample Plots at the Evo Test Site (Spring 2024)

Terrestrial Laser Scanning Point Clouds and Tree Attributes from 55 Sample Plots at the Evo Test Site (Spring 2024)

Description

Terrestrial laser scanning data acquired from 55 sample plots (32 m × 32 m) in Evo, Southern Finland during April 22 to May 14, 2024 (leaf-off conditions) using a Riegl VZ-400i terrestrial laser scanner with following configuration: Acquisition Dates: 22 April – 14 May 2024 Conditions: Leaf-off Scanner Model: Riegl VZ-400i Measurement principle: Time-of-flight Wavelength: 1550 nm Laser Beam Diameter (at exit): 7 mm Beam Divergence: 0.35 mrad (at the 1/e² points) Beam Diameter at 10, 20 and 30 m: 10, 14, 18 mm Pulse Repetition Rate: 600 kHz Maximum Returns per Pulse: Up to 8 Scan Pattern: ‘Panorama 40’ Angular Resolution: 0.04° Point Spacing at 10 m: 3.5 mm Vertical Field of View: 100° (Scan Position, upright), 360° (Scanner tilted 90°) Horizontal Field of View: 360° (Scan Position, upright), 100° (Scanner tilted 90°) The data was processed in the RiSCAN PRO software (version 2.19.3) where the built-in LIS TreeAnalyzer plugin, developed by Laserdata GmbH, was utilized for identifying and segmenting individual trees and measuring their characteristics. For each sample plot (n = 55), a point cloud file (.laz) is provided with the following attributes for each point record: - X coordinate (Easting) [m], ETRS-TM35FIN (epsg: 3067) - Y coordinate (Northing) [m], ETRS-TM35FIN (epsg: 3067) - Z coordinate (Height) [m], N2000 - Reflectance (distance-corrected intensity) [dB] - Return number - Return count - Point Cloud ID (scan position ID) - Height above ground level [m] - Tree ID number In addition, a text file Evo_TLS_2024_treelist_v3.csv is provided, containing following attributes for each tree segmented, in the order of their appearance: - x: X coordinate of stem cross section mid-point (Easting) [m], ETRS-TM35FIN (epsg: 3067) - y: Y coordinate of stem cross section mid-point (Northing) [m], ETRS-TM35FIN (epsg: 3067) - z: Z coordinate of stem cross section height [m], N2000 - plot_id: Sample plot ID number - tree_id: Tree ID number - tree_sp: - Tree species: 0 = not defined; 1 = Scots pine (Pinus sylvestris L.); 2 = Norway spruce (Picea abies (L.) H. Karst.); 3 = Birches (Betula spp. L.); 4 = European aspen (Populus tremula L.); 5 = grey alder (Alnus incana (L.) Moench); 6 = common alder (Alnus glutinosa (L.) Gaertn.); 7 = rowan (Sorbus aucuparia L.); 9 = Larix sp.; 10 = Fir (Abies sp.); 11 = unknown species; 12 = common juniper (Juniperus communis L.). - stem_diam: Stem diameter at the height of tree identification [m] - tree_height: Tree height [m] - crown_area: Crown projection area [m2] - crown_diam: Crown diameter [m] - circle_compl: Circle completeness [%] (related to Hough circle finding) - goodness_of_fit: Goodness of fit [%] (related to Hough circle finding) - pts_on_circle: n.o. points on the fitted circle (related to Hough circle finding) - slice_height: point cloud slicing height (± 0.15 m) in tree identification A text file Evo_TLS_2024_stand_attributes_v3.csv is also included to contain stand-level forest inventory attributes for all the sample plots: - plot_id: Sample plot ID number - x: X coordinate of sample plot center (Easting) [m], ETRS-TM35FIN (epsg: 3067) - y: Y coordinate of sample plot center (Northing) [m], ETRS-TM35FIN (epsg: 3067) - N: number of trees per hectare - G: mean basal area [m2/ha] - V: total stem volume [m3/ha] - Dg: basal area-weighted mean diameter [cm] - Hg: basal area-weighted mean height [m] - Pine_BA%: Scots pine basal area percentage - Spruce_BA%: Norway spruce basal area percentage - Birch_BA%: Deciduous trees basal area percentage
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Year of publication

2024

Authors

Metsätieteiden osasto - Creator, Publisher, Curator, Contributor, Rights holder

Other information

Fields of science

Geosciences; Forestry

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

remote sensing, point cloud, close-range sensing, lidar, maastolaserkeilaus, terrestrial laser scanning, forest sciences, Riegl VZ-400i, tree characterization