Takahashi Miyoshi, G.; Imai, N.N.; Garcia Tommaselli, A.M.; Antunes de Moraes, M.V.; Honkavaara, E.
Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest. Remote Sens. 2020, 12, 244.
https://doi.org/10.3390/rs12020244
AMA Style
Takahashi Miyoshi G, Imai NN, Garcia Tommaselli AM, Antunes de Moraes MV, Honkavaara E.
Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest. Remote Sensing. 2020; 12(2):244.
https://doi.org/10.3390/rs12020244
Chicago/Turabian Style
Takahashi Miyoshi, Gabriela, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, Marcus Vinícius Antunes de Moraes, and Eija Honkavaara.
2020. "Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest" Remote Sensing 12, no. 2: 244.
https://doi.org/10.3390/rs12020244
APA Style
Takahashi Miyoshi, G., Imai, N. N., Garcia Tommaselli, A. M., Antunes de Moraes, M. V., & Honkavaara, E.
(2020). Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest. Remote Sensing, 12(2), 244.
https://doi.org/10.3390/rs12020244