Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest

Rorai Pereira Martins-Neto, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Hassan Camil David, Milto Miltiadou, Eija Honkavaara. Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest. Remote Sensing, 13(13):2444, 2021. [doi]

@article{Martins-NetoTID21,
  title = {Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest},
  author = {Rorai Pereira Martins-Neto and Antonio Maria Garcia Tommaselli and Nilton Nobuhiro Imai and Hassan Camil David and Milto Miltiadou and Eija Honkavaara},
  year = {2021},
  doi = {10.3390/rs13132444},
  url = {https://doi.org/10.3390/rs13132444},
  researchr = {https://researchr.org/publication/Martins-NetoTID21},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {13},
  number = {13},
  pages = {2444},
}