Silva, Carlos Alberto; Hudak, Andrew T; Vierling, Lee A; Valbuena, Ruben; Cardil, Adrian; Mohan, Midhun; Almeida, Danilo Roberti Alves de 
; Broadbent, Eben North ; Zambrano, Angelica M. Almeyda; Wilkinson, Ben; Sharma, Ajay; Drake, Jason B; Medley, Paul B; Vogel, Jason G; Prata, Gabriel Atticciati; Atkins, Jeff W; Hamamura, Caio; Johnson, Daniel J; Klauberg, Carine
Source: Methods in Ecology and Evolution. Unidade: ESALQ
Subjects: ÁRVORES FLORESTAIS, DISTRIBUIÇÃO ESPACIAL, DOSSEL (BOTÂNICA), R (SOFTWARE ESTATÍSTICO), TECNOLOGIA LIDAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Carlos Alberto et al. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution, v. 13, 2022Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.13830. Acesso em: 28 nov. 2025.APA
Silva, C. A., Hudak, A. T., Vierling, L. A., Valbuena, R., Cardil, A., Mohan, M., et al. (2022). Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists. Methods in Ecology and Evolution, 13. doi:10.1111/2041-210X.13830NLM
Silva CA, Hudak AT, Vierling LA, Valbuena R, Cardil A, Mohan M, Almeida DRA de, Broadbent EN, Zambrano AMA, Wilkinson B, Sharma A, Drake JB, Medley PB, Vogel JG, Prata GA, Atkins JW, Hamamura C, Johnson DJ, Klauberg C. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists [Internet]. Methods in Ecology and Evolution. 2022 ;13[citado 2025 nov. 28 ] Available from: https://doi.org/10.1111/2041-210X.13830Vancouver
Silva CA, Hudak AT, Vierling LA, Valbuena R, Cardil A, Mohan M, Almeida DRA de, Broadbent EN, Zambrano AMA, Wilkinson B, Sharma A, Drake JB, Medley PB, Vogel JG, Prata GA, Atkins JW, Hamamura C, Johnson DJ, Klauberg C. Treetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists [Internet]. Methods in Ecology and Evolution. 2022 ;13[citado 2025 nov. 28 ] Available from: https://doi.org/10.1111/2041-210X.13830
