Open AccessPredicting commercial tree quality by means of airborne laser scanning
Author(s) -
Tomi Karjalainen
Publication year - 2020
Publication title -
dissertationes forestales
Language(s) - English
Resource type - Journals
eISSN - 2323-9220
pISSN - 1795-7389
DOI - 10.14214/df.307
Subject(s) - scots pine , basal area , tree (set theory) , picea abies , forest inventory , laser scanning , volume (thermodynamics) , silviculture , forestry , forest management , pinus <genus> , statistics , environmental science , mathematics , geography , ecology , mathematical analysis , laser , physics , optics , botany , quantum mechanics , biology
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