Prediction of stem attributes by combining airborne laser scanning and measurements from harvesters
In this study, a new method was validated for the first time that predicts stem attributes for a forest area without any manual measurements of tree stems by combining harvester measurements and Airborne Laser Scanning (ALS) data. A new algorithm for automatic segmentation of tree cro...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Finnish Society of Forest Science
2012-01-01
|
Series: | Silva Fennica |
Online Access: | https://www.silvafennica.fi/article/56 |