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Scandinavian Journal of Forest Research Volume 30, 2015 - Issue 2
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RESEARCH ARTICLE

Estimating stem diameter distributions from airborne laser scanning data and their effects on long term forest management planning

Rami SaadDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umeå, SwedenCorrespondence[email protected]
,
Jörgen WallermanDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umeå, Sweden
&
Tomas LämåsDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umeå, Sweden
Pages 186-196 | Received 02 Apr 2014, Accepted 15 Oct 2014, Published online: 24 Nov 2014

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Annika Kangas, Rasmus Astrup, Johannes Breidenbach, Jonas Fridman, Terje Gobakken, Kari T. Korhonen, Matti Maltamo, Mats Nilsson, Thomas Nord-Larsen, Erik Næsset & Håkan Olsson. (2018) Remote sensing and forest inventories in Nordic countries – roadmap for the future. Scandinavian Journal of Forest Research 33:4, pages 397-412.
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Joanne C. White, Nicholas C. Coops, Michael A. Wulder, Mikko Vastaranta, Thomas Hilker & Piotr Tompalski. (2016) Remote Sensing Technologies for Enhancing Forest Inventories: A Review. Canadian Journal of Remote Sensing 42:5, pages 619-641.
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Articles from other publishers (11)

Xavier Gallagher-Duval, Olivier R. van Lier & Richard A. Fournier. (2023) Estimating Stem Diameter Distributions with Airborne Laser Scanning Metrics and Derived Canopy Surface Texture Metrics. Forests 14:2, pages 287.
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Yuanshuo Hao, Faris Rafi Almay Widagdo, Xin Liu, Ying Quan, Zhaogang Liu, Lihu Dong & Fengri Li. (2022) Estimation and calibration of stem diameter distribution using UAV laser scanning data: A case study for larch (Larix olgensis) forests in Northeast China. Remote Sensing of Environment 268, pages 112769.
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Florian Irauschek, Ivan Barka, Harald Bugmann, Benoit Courbaud, Che Elkin, Tomáš Hlásny, Matija Klopcic, Marco Mina, Werner Rammer & Manfred J Lexer. (2021) Evaluating five forest models using multi-decadal inventory data from mountain forests. Ecological Modelling 445, pages 109493.
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João Reis, Paula Santo & Nuno Melão. (2020) Artificial Intelligence Research and Its Contributions to the European Union’s Political Governance: Comparative Study between Member States. Social Sciences 9:11, pages 207.
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Paulina T. Marczak, Karin Y. Van Ewijk, Paul M. Treitz, Neal A. Scott & Donald C.E. Robinson. (2020) Predicting Carbon Accumulation in Temperate Forests of Ontario, Canada Using a LiDAR-Initialized Growth-and-Yield Model. Remote Sensing 12:1, pages 201.
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Zhengnan Zhang, Lin Cao, Christopher Mulverhill, Hao Liu, Yong Pang & Zengyuan Li. (2019) Prediction of Diameter Distributions with Multimodal Models Using LiDAR Data in Subtropical Planted Forests. Forests 10:2, pages 125.
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Janne Räty, Petteri Packalen & Matti Maltamo. (2018) Comparing nearest neighbor configurations in the prediction of species-specific diameter distributions. Annals of Forest Science 75:1.
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M Maltamo, L Mehtätalo, R Valbuena, J Vauhkonen & P Packalen. (2018) Airborne laser scanning for tree diameter distribution modelling: a comparison of different modelling alternatives in a tropical single-species plantation. Forestry: An International Journal of Forest Research 91:1, pages 121-131.
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Parvez Rana, Jari Vauhkonen, Virpi Junttila, Zhengyang Hou, Basanta Gautam, Fiona Cawkwell & Timo Tokola. (2017) Large tree diameter distribution modelling using sparse airborne laser scanning data in a subtropical forest in Nepal. ISPRS Journal of Photogrammetry and Remote Sensing 134, pages 86-95.
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Rami SaadKyle EyvindsonPeichen GongTomas LämåsGöran Ståhl. (2017) Potential of using data assimilation to support forest planning. Canadian Journal of Forest Research 47:5, pages 690-695.
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Lothar Eysn, Markus Hollaus, Eva Lindberg, Frédéric Berger, Jean-Matthieu Monnet, Michele Dalponte, Milan Kobal, Marco Pellegrini, Emanuele Lingua, Domen Mongus & Norbert Pfeifer. (2015) A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space. Forests 6:12, pages 1721-1747.
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