30988 research outputs found
Sort by
Transferability of airborne laser scanning based forest variable models in near natural forest
No full text
Recuiters role, characteristics and capabilities in shaping formation of candidate experience and employer brand – The recruiters’ perspecitve
No full text
Terrestrial Laser Scanning Point Clouds and Tree Attributes from 55 Sample Plots at the Evo Test Site (Spring 2024)
No full textTerrestrial 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 percentag
Kronotyypin yhteys fyysiseen aktiivisuuteen, paikallaanoloon ja nukkumiseen 3–4-vuotiailla lapsilla
No full text
Oppilaiden kouluinnon ja -uupumuksen profiilit: Erot oppimisen itsesäätelyn minäpystyvyydessä ja moniammatillisessa hyvinvoinnin tuessa
No full textTässä tutkimuksessa tarkastellaan oppilaiden kouluinnon ja -uupumuksen (uupumusasteinen väsymys, kyynisyys ja riittämättömyys) profiileja sekä näiden profiilien eroja oppimisen itsesäätelyn minäpystyvyydessä ja koulun tarjoamassa moniammatillisessa hyvinvoinnin tuessa (kokemus saadusta tuesta ja opiskeluhuoltopalvelujen saavutettavuus). Tutkimukseen osallistui 984 peruskoulun 5.–9.-luokkalaista. Latenttia profiilianalyysia hyödyntäen tunnistettiin neljä kouluinnon ja -uupumuksen profiilia: innostuneet (korkea kouluinto ja vähäinen uupumus, 35 %), innostuneet väsyneet (samanaikainen korkea innostus ja uupumusasteinen väsymys, 28 %), kielteisesti koulunkäyntiin suhtautuvat (kohtalaisen heikko kouluinnostus ja keskimääräinen uupumus, 21 %) ja uupuneet (heikko kouluinto ja eniten uupumusta, 16 %). Kaikki ryhmät erosivat toisistaan oppimisen itsesäätelyn minäpystyvyydessä ja kokemuksessa saadusta tuesta. Sekä minäpystyvyys että kokemus saadusta tuesta olivat parhaat innostuneilla, hieman heikommat innostuneilla väsyneillä sekä kielteisesti koulunkäyntiin suhtautuvilla ja heikoimmat uupuneilla. Oppilaiden hyvinvoinnin tukemiseksi kouluissa tulisi kiinnittää huomiota oppilaiden oppimisen itsesäätelytaitojen vahvistamiseen, hyvinvoinnin tuen toteutumiseen sekä opiskeluhuoltopalvelujen saavutettavuuteen