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Abstract
Decision 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. (C) 2016 The Authors. Published by Elsevier B.V. on behalf of International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licensesiby-nc-nd/11.0/).
Original language | English |
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Pages (from-to) | 63-77 |
Number of pages | 15 |
Journal | ISPRS Journal of Photogrammetry and Remote Sensing |
Volume | 115 |
DOIs | |
Publication status | Published - May 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Forest inventory
- Point cloud
- Terrestrial laser scanning
- Mobile laser scanning
- Personal laser scanning
- Image-based point cloud
- GROUND-BASED LIDAR
- CANOPY GAP FRACTION
- POINT CLOUD DATA
- LEAF-AREA INDEX
- STANDING TREES
- BIOMASS ESTIMATION
- NORWAY SPRUCE
- INDIVIDUAL TREES
- INCIDENCE ANGLE
- STEM
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Dive into the research topics of 'Terrestrial laser scanning in forest inventories'. Together they form a unique fingerprint.Projects
- 2 Finished
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COMBAT: Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem
Hyyppä, H. (Principal investigator)
01/05/2015 → 31/12/2017
Project: Academy of Finland: Strategic research funding
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CoE - LaSR: Centre of Excellence in Laser Scanning Research
Hyyppä, H. (Principal investigator)
01/01/2014 → 31/12/2019
Project: Academy of Finland: Other research funding