Abstract | ||
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This paper reports on a study of measuring stem curves of standing trees of different species and in different growth stages using terrestrial laser scanning (TLS). Pine and spruce trees are scanned using the multiscan approach in the field, and trees are felled to measure them destructively for the purpose of obtaining reference values. The stem curves are automatically retrieved from laser point clouds, resulting in an accuracy of ~i1 cm. The corresponding manual measurements yield similar accuracy but fewer measurements at the upper parts of tree stems, compared with the automated measurements. The stem volumes based on stem curve data and field measurements and the best Finnish national allometric volume equations (using tree species, height, and diameters at heights of 1.3 and 6 m as predictors) result in similar accuracy. The measurement accuracy of the stem curves and stem volumes is similar for both pine and spruce trees. The results of this paper confirm the feasibility of using TLS to produce stem curve data in an automated, accurate and noninvasive way and indicate that the point cloud provides adequate information to accurately derive stem volumes from standing trees. The stem curves and volumes retrieved from point clouds can be employed in various forest management activities, such as the calibration of national or regional allometric curve functions and the prediction of profits in preharvest inventories. |
Year | DOI | Venue |
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2014 | 10.1109/TGRS.2013.2253783 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
spruce trees,regional allometric curve functions,remote sensing,calibration,forestry,finnish national allometric volume equations,laser point clouds,manual measurements,pine trees,stem taper,tree stem volumes,point cloud,preharvest inventories,forest management activities,tree species,stem curve,growth stages,terrestrial laser scanning,field measurements,reference values,laser measurement application,national allometric curve functions,multiscan approach,vegetation mapping,measurement accuracy,automated measurements,vegetation,volume,stem curve data,standing trees,automated stem curve measurement | Reference values,Remote sensing,Tree species,Allometry,Accuracy and precision,Terrestrial laser scanning,Point cloud,Calibration,Mathematics | Journal |
Volume | Issue | ISSN |
52 | 3 | 0196-2892 |
Citations | PageRank | References |
15 | 1.34 | 4 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xinlian Liang | 1 | 193 | 23.72 |
Ville Kankare | 2 | 65 | 9.21 |
Xiaowei Yu | 3 | 278 | 31.85 |
Juha Hyyppä | 4 | 439 | 66.75 |
Markus Holopainen | 5 | 357 | 40.95 |