Planning of Commercial Thinnings Using Machine Learning and Airborne Lidar Data
The goal of this study was to predict the need for commercial thinning using airborne lidar data (ALS) with random forest (RF) machine learning algorithm. Two test sites (with areas of 14,750 km<sup>2</sup> and 12,630 km<sup>2</sup>) were used with a total of 1053 forest stan...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
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| Series: | Forests |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4907/13/2/206 |