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ISPRS Journal of Photogrammetry and Remote Sensing
Article . 2016 . Peer-reviewed
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Article . 2016 . Peer-reviewed
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Terrestrial laser scanning in forest inventories

Authors: Liang, Xinlian; Kankare, Ville; Hyyppä, Juha; Wang, Yunsheng; Kukko, Antero; Haggren, Henrik; Yu, Xiaowei; +6 Authors

Terrestrial laser scanning in forest inventories

Abstract

AbstractDecision making on forest resources relies on the precise information that is collected using inventory. There are many different kinds of forest inventory techniques that can be applied depending on the goal, scale, resources and the required accuracy. Most of the forest inventories are based on field sample. Therefore, the accuracy of the forest inventories depends on the quality and quantity of the field sample. Conventionally, field sample has been measured using simple tools. When map is required, remote sensing materials are needed. Terrestrial laser scanning (TLS) provides a measurement technique that can acquire millimeter-level of detail from the surrounding area, which allows rapid, automatic and periodical estimates of many important forest inventory attributes. It is expected that TLS will be operationally used in forest inventories as soon as the appropriate software becomes available, best practices become known and general knowledge of these findings becomes more wide spread. Meanwhile, mobile laser scanning, personal laser scanning, and image-based point clouds became capable of capturing similar terrestrial point cloud data as TLS. This paper reviews the advances of applying TLS in forest inventories, discusses its properties with reference to other related techniques and discusses the future prospects of this technique.

Country
Finland
Keywords

Terrestrial laser scanning, CANOPY GAP FRACTION, Geography, Planning and Development, ta1171, Image-based point cloud, Computers in Earth Sciences, Engineering (miscellaneous), POINT CLOUD DATA, INDIVIDUAL TREES, Mobile laser scanning, LEAF-AREA INDEX, NORWAY SPRUCE, Forestry, Personal laser scanning, STEM, GROUND-BASED LIDAR, Atomic and Molecular Physics, and Optics, Computer Science Applications, Point cloud, BIOMASS ESTIMATION, INCIDENCE ANGLE, STANDING TREES, Geosciences, Forest inventory

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    717
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
717
Top 0.1%
Top 1%
Top 0.1%
Green
hybrid