Using LiDAR-modified topographic wetness index, terrain attributes with leaf area index to improve a single-tree growth model in south-eastern Finland-Reference-Cited by-同舟云学术

Using LiDAR-modified topographic wetness index, terrain attributes with leaf area index to improve a single-tree growth model in south-eastern Finland

Published:2019-02-28 Issue:3 Volume:92 Page:253-263
ISSN:0015-752X
Container-title:Forestry: An International Journal of Forest Research
language:en
Short-container-title:

Author:

Mohamedou Cheikh¹,Korhonen Lauri¹,Eerikäinen Kalle²,Tokola Timo¹

Affiliation:

1. Faculty of Science and Forestry, School of Forest Sciences, University of Eastern Finland, Joensuu, Finland

2. Forestland Investment Finland Ltd., Kauppakatu 23 a, Joensuu, Finland

Funder

Finnish Cultural Foundation

Niemi Foundation

Publisher

Oxford University Press (OUP)

Subject

Forestry

Link

http://academic.oup.com/forestry/article-pdf/92/3/253/28642052/cpz010.pdf

Reference74 articles.

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

4. A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content;Barling;Water Resour. Res.,1994

5. A physically based, variable contributing area model of basin hydrology;Beven;Hydrolog. Sci. Bull.,1979

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