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Open AccessCommunication
Forests 2014, 5(7), 1682-1694; doi:10.3390/f5071682

Outlook for the Next Generation’s Precision Forestry in Finland

1
Department of Forest Sciences, University of Helsinki, FI-00014 Helsinki, Finland
2
Centre of Excellence in Laser Scanning Research, Finnish Geodetic Institute, FI-02431 Masala, Finland
3
Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, FI-02431 Masala, Finland
*
Author to whom correspondence should be addressed.
Received: 9 April 2014 / Revised: 30 May 2014 / Accepted: 2 July 2014 / Published: 15 July 2014
(This article belongs to the Special Issue Applications of Remote Sensing to Forestry)
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Abstract

During the past decade in forest mapping and monitoring applications, the ability to acquire spatially accurate, 3D remote-sensing information by means of laser scanning, digital stereo imagery and radar imagery has been a major turning point. These 3D data sets that use single- or multi-temporal point clouds enable a wide range of applications when combined with other geoinformation and logging machine-measured data. New technologies enable precision forestry, which can be defined as a method to accurately determine characteristics of forests and treatments at stand, sub-stand or individual tree level. In precision forestry, even individual tree-level assessments can be used for simulation and optimization models of the forest management decision support system. At the moment, the forest industry in Finland is looking forward to next generation’s forest inventory techniques to improve the current wood procurement practices. Our vision is that in the future, the data solution for detailed forest management and wood procurement will be to use multi-source and -sensor information. In this communication, we review our recent findings and describe our future vision in precision forestry research in Finland.
Keywords: Airborne laser scanning; LiDAR; mobile laser scanning; terrestrial laser scanning; forestry; forest; forest technology; precision forestry; 3D; 4D; GIS; remote sensing Airborne laser scanning; LiDAR; mobile laser scanning; terrestrial laser scanning; forestry; forest; forest technology; precision forestry; 3D; 4D; GIS; remote sensing
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Holopainen, M.; Vastaranta, M.; Hyyppä, J. Outlook for the Next Generation’s Precision Forestry in Finland. Forests 2014, 5, 1682-1694.

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