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LIANG, Jingjing et al. Co-limitation towards lower latitudes shapes global forest diversity gradients. Nature Ecology & Evolution, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41559-022-01831-x. Acesso em: 17 out. 2024.
APA
Liang, J., Gamarra, J. G. P., Picard, N., & Brancalion, P. H. S. (2022). Co-limitation towards lower latitudes shapes global forest diversity gradients. Nature Ecology & Evolution, 1-17. doi:10.1038/s41559-022-01831-x
NLM
Liang J, Gamarra JGP, Picard N, Brancalion PHS. Co-limitation towards lower latitudes shapes global forest diversity gradients [Internet]. Nature Ecology & Evolution. 2022 ; 1-17.[citado 2024 out. 17 ] Available from: https://doi.org/10.1038/s41559-022-01831-x
Vancouver
Liang J, Gamarra JGP, Picard N, Brancalion PHS. Co-limitation towards lower latitudes shapes global forest diversity gradients [Internet]. Nature Ecology & Evolution. 2022 ; 1-17.[citado 2024 out. 17 ] Available from: https://doi.org/10.1038/s41559-022-01831-x
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CORTE, Ana Paula Dalla et al. High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD). Drones, v. 6, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.3390/drones6020048. Acesso em: 17 out. 2024.
APA
Corte, A. P. D., Cunha Neto, E. M. da, Rex, F. E., Souza, D., Behling, A., Mohan, M., et al. (2022). High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD). Drones, 6, 1-18. doi:10.3390/drones6020048
NLM
Corte APD, Cunha Neto EM da, Rex FE, Souza D, Behling A, Mohan M, Sanquetta MNI, Silva CA, Klauberg C, Sanquetta CR, Veras HFP, Almeida DRA de, Prata G, Zambrano AMA, Trautenmüller JW, Moraes A de, Karasinski MA, Broadbent EN. High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD) [Internet]. Drones. 2022 ; 6 1-18.[citado 2024 out. 17 ] Available from: https://doi.org/10.3390/drones6020048
Vancouver
Corte APD, Cunha Neto EM da, Rex FE, Souza D, Behling A, Mohan M, Sanquetta MNI, Silva CA, Klauberg C, Sanquetta CR, Veras HFP, Almeida DRA de, Prata G, Zambrano AMA, Trautenmüller JW, Moraes A de, Karasinski MA, Broadbent EN. High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD) [Internet]. Drones. 2022 ; 6 1-18.[citado 2024 out. 17 ] Available from: https://doi.org/10.3390/drones6020048
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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: 17 out. 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 out. 17 ] 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 out. 17 ] Available from: https://doi.org/10.3390/rs12213599
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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: 17 out. 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 out. 17 ] 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 out. 17 ] Available from: https://doi.org/10.3390/rs12111754
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GÖRGENS, Eric Bastos et al. Characterization of Brazilian forest types utilizing canopy height profiles derived from airborne laser scanning. Applied Vegetation Science, v. 19, n. 3, p. 518-527, 2016Tradução . . Disponível em: https://doi.org/10.1111/avsc.12224. Acesso em: 17 out. 2024.
APA
Görgens, E. B., Soares, P. B., Nunes, M. H., & Rodriguez, L. C. E. (2016). Characterization of Brazilian forest types utilizing canopy height profiles derived from airborne laser scanning. Applied Vegetation Science, 19( 3), 518-527. doi:10.1111/avsc.12224