Fonte: Remote Sensing. Unidades: FZEA, ESALQ
Assuntos: AEROFOTOGRAMETRIA, AERONAVES NÃO TRIPULADAS, AVEIA PRETA, BIOMASSA, CRESCIMENTO VEGETAL, SENSORIAMENTO REMOTO, VISÃO COMPUTACIONAL
ABNT
TREVISAN, Lucas Renato et al. Estimating black oat biomass using digital surface models and a vegetation index derived from RGB-based aerial images. Remote Sensing, v. 15, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/rs15051363. Acesso em: 23 ago. 2024.APA
Trevisan, L. R., Brichi, L., Gomes, T. M., & Rossi, F. (2023). Estimating black oat biomass using digital surface models and a vegetation index derived from RGB-based aerial images. Remote Sensing, 15, 1-19. doi:10.3390/rs15051363NLM
Trevisan LR, Brichi L, Gomes TM, Rossi F. Estimating black oat biomass using digital surface models and a vegetation index derived from RGB-based aerial images [Internet]. Remote Sensing. 2023 ; 15 1-19.[citado 2024 ago. 23 ] Available from: https://doi.org/10.3390/rs15051363Vancouver
Trevisan LR, Brichi L, Gomes TM, Rossi F. Estimating black oat biomass using digital surface models and a vegetation index derived from RGB-based aerial images [Internet]. Remote Sensing. 2023 ; 15 1-19.[citado 2024 ago. 23 ] Available from: https://doi.org/10.3390/rs15051363