A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data
Regression methods are widely employed in forestry to predict and map structure and canopy fuel variables. We present a study where several regression models (linear, non-linear, regression trees and ensemble) were assessed. Independent variables were calculated using metrics extracted from full-wav...
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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/4066 |
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