Predicting forest growth based on airborne LiDAR data, climate data and simplified process-based model

Approved

Classifications

MinEdu publication type
A1
Category
Artikkelit ja abstraktit
Refereed
Kyllä
Sub category
Tieteelliset aikakauslehtiartikkelit
Type
Alkuperäisartikkeli

Publication information

OKM publication type
A1
Category
Artikkelit ja abstraktit
Sub category
Tieteelliset aikakauslehtiartikkelit
Type
Alkuperäisartikkeli
Refereed
Kyllä

Authors of the publication

Number of authors
5
Authors
Härkönen S, Tokola T, Packalén P, Korhonen L, Mäkelä A

Publication channel information

Title of journal/series
Canadian journal of forest research-revue canadienne de recherche forestiere
ISSN (print)
0045-5067
ISSN (electronic)
1208-6037
ISSN (linking)
0045-5067
Publication forum ID
53015
Publication forum level
3
Country of publication
Canada
Internationality
Yes

Detailed publication information

Publication year
2013
Reporting year
2013
Journal/series volume number
43
Journal/series issue number
4
Page numbers
364-374
DOI
10.1139/cjfr-2012-0295
Language of publication
English

Co-publication information

International co-publication
No

Classification and additional information

MinEdu field of science classification
4112 Forestry, 1171 Geosciences, 1172 Environmental sciences