Open access
2026
Assessing Machine Learning and Deep Learning Approaches for Wood Volume Prediction in Forest Plantations Using Hyperspectral Imagery: Limitations and Challenges
This study evaluates four machine learning algorithms, Random Forest Regressor, Support Vector Regressor (SVR), Multilayer Perceptron, and a 1-D Convolutional Neural Network, for estimating Pinus taeda L. wood volume using EnMAP hyperspectral data. Spectral preprocessing included PCA dimensionality reduction, with perm...
Fábio R. Spiazzi, V. Liesenberg, M. B. Schimalski et al.
· IEEE Journal of Selected Top... · 0 citations