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On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes

Janne R(a)ty Jari Vauhkonen Matti Maltamo Timo Tokola

森林生态系统(英文版)2016,Vol.3Issue(2):95-111,17.
森林生态系统(英文版)2016,Vol.3Issue(2):95-111,17.DOI:10.1186/s40663-016-0060-0

On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes

On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes

Janne R(a)ty 1Jari Vauhkonen 1Matti Maltamo 1Timo Tokola1

作者信息

  • 1. University of Eastern Finland, School of Forest Sciences, Yliopistokatu 7, P.O.Box 111FI-80101 Joensuu, Finland
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摘要

关键词

Forest inventory/Light Detection and Ranging (LiDAR)/Area-based approach/Nearest neighbor estimation/Crown base height/Intensity/Volume model

Key words

Forest inventory/Light Detection and Ranging (LiDAR)/Area-based approach/Nearest neighbor estimation/Crown base height/Intensity/Volume model

引用本文复制引用

Janne R(a)ty,Jari Vauhkonen,Matti Maltamo,Timo Tokola..On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes[J].森林生态系统(英文版),2016,3(2):95-111,17.

森林生态系统(英文版)

OACSCDSCI

2095-6355

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