Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods
The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the estimation of continuous variables describing forest attributes: biomass, volume, density, etc. However, to date, classification methods based on machine learning, which are fairly...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitat Politècnica de València
2016-02-01
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| Series: | Revista de Teledetección |
| Subjects: | |
| Online Access: | http://polipapers.upv.es/index.php/raet/article/view/4029 |
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