Mangrove individual tree detection based on the uncrewed aerial vehicle multispectral imagery (2023)
- Authors:
- USP affiliated authors: CONTI, LUIS AMERICO - EACH ; OLIVEIRA, PRISCILA ALMEIDA DE - EACH
- Unidade: EACH
- DOI: 10.1016/j.rsase.2023.101100
- Assunto: AERONAVES NÃO TRIPULADAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Remote Sensing Applications: society and environment
- ISSN: 2352-9385
- Volume/Número/Paginação/Ano: online, p. 01-27, Nov. 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
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: 03 mar. 2026. -
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.2023.101100 -
NLM
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 2026 mar. 03 ] Available from: http://dx.doi.org/10.1016/j.rsase.2023.101100 -
Vancouver
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 2026 mar. 03 ] Available from: http://dx.doi.org/10.1016/j.rsase.2023.101100 - Geographic object-oriented analysis of UAV multispectral images for tree distribution mapping in mangroves
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Informações sobre o DOI: 10.1016/j.rsase.2023.101100 (Fonte: oaDOI API)
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