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Predicting forest growth based on airborne light detection and ranging data, climate data, and a simplified process-based model.

Authors :
Härkönen, Sanna
Tokola, Timo
Packalén, Petteri
Korhonen, Lauri
Mäkelä, Annikki
Source :
Canadian Journal of Forest Research; Apr2013, Vol. 43 Issue 4, p364-375, 12p
Publication Year :
2013

Abstract

<i>Copyright of Canadian Journal of Forest Research is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)

Details

Language :
English
ISSN :
00455067
Volume :
43
Issue :
4
Database :
Complementary Index
Journal :
Canadian Journal of Forest Research
Publication Type :
Academic Journal
Accession number :
87610161
Full Text :
https://doi.org/10.1139/cjfr-2012-0295