Martins-Neto, R.P.; Tommaselli, A.M.G.; Imai, N.N.; David, H.C.; Miltiadou, M.; Honkavaara, E.
Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest. Remote Sens. 2021, 13, 2444.
https://doi.org/10.3390/rs13132444
AMA Style
Martins-Neto RP, Tommaselli AMG, Imai NN, David HC, Miltiadou M, Honkavaara E.
Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest. Remote Sensing. 2021; 13(13):2444.
https://doi.org/10.3390/rs13132444
Chicago/Turabian Style
Martins-Neto, Rorai Pereira, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Hassan Camil David, Milto Miltiadou, and Eija Honkavaara.
2021. "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, no. 13: 2444.
https://doi.org/10.3390/rs13132444
APA Style
Martins-Neto, R. P., Tommaselli, A. M. G., Imai, N. N., David, H. C., Miltiadou, M., & Honkavaara, E.
(2021). 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.
https://doi.org/10.3390/rs13132444
