Mangrove individual tree detection based on the uncrewed aerial vehicle multispectral imagery (2023)
Source: Remote Sensing Applications: society and environment. Unidade: EACH
Assunto: AERONAVES NÃO TRIPULADAS
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OLIVEIRA, Priscila Almeida de et al. Mangrove individual tree detection based on the uncrewed aerial vehicle multispectral imagery. Remote Sensing Applications: society and environment, v. No 2023, p. 01-27, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.rsase.2023.101100. Acesso em: 01 jun. 2024.APA
Oliveira, P. A. de, Conti, L. A., Nascimento Neto, F. C., Barcellos, R. L., & Lignon, M. C. (2023). Mangrove individual tree detection based on the uncrewed aerial vehicle multispectral imagery. Remote Sensing Applications: society and environment, No 2023, 01-27. doi:10.1016/j.rsase.2023.101100NLM
Oliveira PA de, Conti LA, Nascimento Neto FC, Barcellos RL, Lignon MC. Mangrove individual tree detection based on the uncrewed aerial vehicle multispectral imagery [Internet]. Remote Sensing Applications: society and environment. 2023 ; No 2023 01-27.[citado 2024 jun. 01 ] Available from: http://dx.doi.org/10.1016/j.rsase.2023.101100Vancouver
Oliveira PA de, Conti LA, Nascimento Neto FC, Barcellos RL, Lignon MC. Mangrove individual tree detection based on the uncrewed aerial vehicle multispectral imagery [Internet]. Remote Sensing Applications: society and environment. 2023 ; No 2023 01-27.[citado 2024 jun. 01 ] Available from: http://dx.doi.org/10.1016/j.rsase.2023.101100
