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RODRIGUEZ, Luiz Carlos Estraviz. LIDAR e o futuro das operações florestais. B. Forest, v. 6, n. 64, p. 22-33, 2020Tradução . . Disponível em: https://revistabforest.com.br/2020/03/b-forest-a-revista-eletronica-do-setor-florestal-edicao-64-ano-06-n-02-2019/. Acesso em: 16 set. 2024.
APA
Rodriguez, L. C. E. (2020). LIDAR e o futuro das operações florestais. B. Forest, 6( 64), 22-33. Recuperado de https://revistabforest.com.br/2020/03/b-forest-a-revista-eletronica-do-setor-florestal-edicao-64-ano-06-n-02-2019/
NLM
Rodriguez LCE. LIDAR e o futuro das operações florestais [Internet]. B. Forest. 2020 ; 6( 64): 22-33.[citado 2024 set. 16 ] Available from: https://revistabforest.com.br/2020/03/b-forest-a-revista-eletronica-do-setor-florestal-edicao-64-ano-06-n-02-2019/
Vancouver
Rodriguez LCE. LIDAR e o futuro das operações florestais [Internet]. B. Forest. 2020 ; 6( 64): 22-33.[citado 2024 set. 16 ] Available from: https://revistabforest.com.br/2020/03/b-forest-a-revista-eletronica-do-setor-florestal-edicao-64-ano-06-n-02-2019/
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LEITE, R. V et al. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models. Remote Sensing, v. 12, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12213599. Acesso em: 16 set. 2024.
APA
Leite, R. V., Silva, C. A., Mohan, M., Cardil, A., Almeida, D. R. A. de, & Carvalho, S. P. C. de. (2020). Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models. Remote Sensing, 12, 1-20. doi:10.3390/rs12213599
NLM
Leite RV, Silva CA, Mohan M, Cardil A, Almeida DRA de, Carvalho SPC de. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models [Internet]. Remote Sensing. 2020 ; 12 1-20.[citado 2024 set. 16 ] Available from: https://doi.org/10.3390/rs12213599
Vancouver
Leite RV, Silva CA, Mohan M, Cardil A, Almeida DRA de, Carvalho SPC de. Individual tree attribute estimation and uniformity assessment in fast-growing eucalyptus spp. Forest plantations using lidar and linear mixed-effects models [Internet]. Remote Sensing. 2020 ; 12 1-20.[citado 2024 set. 16 ] Available from: https://doi.org/10.3390/rs12213599
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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CORTE, Ana Paula Dalla et al. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. Computers and Electronics in Agriculture, v. 179, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105815. Acesso em: 16 set. 2024.
APA
Corte, A. P. D., Souza, D. V., Rex, F. E., Sanquetta, C. R., Mohan, M., Silva, C. A., et al. (2020). Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. Computers and Electronics in Agriculture, 179, 1-14. doi:10.1016/j.compag.2020.105815
NLM
Corte APD, Souza DV, Rex FE, Sanquetta CR, Mohan M, Silva CA, Zambrano AMA, Prata G, Almeida DRA de, Trautenmüller JW, Klauberg C, Moraes A de, Sanquetta MN, Wilkinson B, Broadbent EN. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes [Internet]. Computers and Electronics in Agriculture. 2020 ; 179 1-14.[citado 2024 set. 16 ] Available from: https://doi.org/10.1016/j.compag.2020.105815
Vancouver
Corte APD, Souza DV, Rex FE, Sanquetta CR, Mohan M, Silva CA, Zambrano AMA, Prata G, Almeida DRA de, Trautenmüller JW, Klauberg C, Moraes A de, Sanquetta MN, Wilkinson B, Broadbent EN. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes [Internet]. Computers and Electronics in Agriculture. 2020 ; 179 1-14.[citado 2024 set. 16 ] Available from: https://doi.org/10.1016/j.compag.2020.105815
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D'OLIVEIRA, M. V. N et al. Aboveground biomass estimation in Amazonian tropical forests: A comparison of aircraft-and gatoreye UAV-borne LIDAR data in the Chico mendes extractive reserve in Acre, Brazil. Remote Sensing, v. 12, p. 1-19 , 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12111754. Acesso em: 16 set. 2024.
APA
d'Oliveira, M. V. N., Broadbent, E. N., Oliveira, L. C., Almeida, D. R. A. de, Papa, D. A., Ferreira, M. E., et al. (2020). Aboveground biomass estimation in Amazonian tropical forests: A comparison of aircraft-and gatoreye UAV-borne LIDAR data in the Chico mendes extractive reserve in Acre, Brazil. Remote Sensing, 12, 1-19 . doi:10.3390/rs12111754
NLM
d'Oliveira MVN, Broadbent EN, Oliveira LC, Almeida DRA de, Papa DA, Ferreira ME, Zambrano AMA, Silva CA, Avino FS, Prata GA, Mello RA, Figueiredo EO, Jorge LA de C, Junior L, Albuquerque RW, Brancalion PHS, Wilkinson B, Oliveira-da-Costa M. Aboveground biomass estimation in Amazonian tropical forests: A comparison of aircraft-and gatoreye UAV-borne LIDAR data in the Chico mendes extractive reserve in Acre, Brazil [Internet]. Remote Sensing. 2020 ; 12 1-19 .[citado 2024 set. 16 ] Available from: https://doi.org/10.3390/rs12111754
Vancouver
d'Oliveira MVN, Broadbent EN, Oliveira LC, Almeida DRA de, Papa DA, Ferreira ME, Zambrano AMA, Silva CA, Avino FS, Prata GA, Mello RA, Figueiredo EO, Jorge LA de C, Junior L, Albuquerque RW, Brancalion PHS, Wilkinson B, Oliveira-da-Costa M. Aboveground biomass estimation in Amazonian tropical forests: A comparison of aircraft-and gatoreye UAV-borne LIDAR data in the Chico mendes extractive reserve in Acre, Brazil [Internet]. Remote Sensing. 2020 ; 12 1-19 .[citado 2024 set. 16 ] Available from: https://doi.org/10.3390/rs12111754