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Variability of wood properties using airborne and terrestrial laser scanning

  • Published:2019-12 Issue: Volume:235 Page:111474
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Pyörälä Jiri,Saarinen Ninni,Kankare Ville,Coops Nicholas C.,Liang Xinlian,Wang Yunsheng,Holopainen Markus,Hyyppä Juha,Vastaranta Mikko

Funder

Academy of Finland

Ministry of Agriculture and Forestry

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference105 articles.

1. Automatic tree species recognition with quantitative structure models;Åkerblom;Remote Sens. Environ.,2017

2. A comparative assessment of the performance of individual tree crowns delineation algorithms from ALS data in tropical forests;Aubry-Kientz;Remote Sens-Basel,2019

3. Effects of early respacing on the density and microfibril angle of Sitka spruce wood;Auty;Forestry: Int. J. Financ. Res.,2018

4. DEM generation from laser scanner data using adaptive TIN models;Axelsson;Int. Arch. Photogramm. Remote Sens.,2000

5. Terrestrial laser scanning reveals differences in crown structure of Fagus sylvatica in mixed vs. pure European forests;Barbeito;For. Ecol. Manag.,2017

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