Detection of the need for seedling stand tending using high-resolution remote sensing data

Detection of the need for seedling stand tending using high-resolution remote sensing data

Seedling stands are problematic in airborne laser scanning (ALS) based stand level forest management inventories, as the stem density and species proportions are difficult to estimate accurately using only remotely sensed data. Thus the seedling stands must still be checked in the field, which resul...

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Bibliographic Details
Main Authors: Lauri Korhonen, Inka Pippuri, Petteri Packalén, Ville HeikkinenSchool of Computing, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland, Matti Maltamo, Juho Heikkilä
Format: Article
Language:English
Published: Finnish Society of Forest Science 2013-06-01
Series:Silva Fennica
Subjects:
forest management
seedling stand
tending
logistic regression
support vector machine
airborne laser scanning

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