Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning (2021)
- Authors:
- USP affiliated authors: RODRIGUEZ, LUIZ CARLOS ESTRAVIZ - ESALQ ; REIS, CRISTIANO RODRIGUES - ESALQ ; ALMEIDA, DANILO ROBERTI ALVES DE - ESALQ
- Unidade: ESALQ
- DOI: 10.3390/f12121724
- Subjects: FLORESTAS TROPICAIS; MANEJO FLORESTAL; PLANEJAMENTO FLORESTAL; SILVICULTURA SUSTENTÁVEL; TECNOLOGIA LIDAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
REIS, Cristiano Rodrigues et al. Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning. Forests, v. 12, n. 12, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.3390/f12121724. Acesso em: 02 jan. 2026. -
APA
Reis, C. R., Gorgens, E. B., Almeida, D. R. A. de, Celes, C. H. S., Rosette, J., Lima, A., et al. (2021). Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning. Forests, 12( 12), 1-12. doi:10.3390/f12121724 -
NLM
Reis CR, Gorgens EB, Almeida DRA de, Celes CHS, Rosette J, Lima A, Higuchi N, Ometto JPHB, Santana RC, Rodriguez LCE. Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning [Internet]. Forests. 2021 ; 12( 12): 1-12.[citado 2026 jan. 02 ] Available from: https://doi.org/10.3390/f12121724 -
Vancouver
Reis CR, Gorgens EB, Almeida DRA de, Celes CHS, Rosette J, Lima A, Higuchi N, Ometto JPHB, Santana RC, Rodriguez LCE. Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning [Internet]. Forests. 2021 ; 12( 12): 1-12.[citado 2026 jan. 02 ] Available from: https://doi.org/10.3390/f12121724 - Forest disturbance and growth processes are reflected in the geographical distribution of large canopy gaps across the Brazilian Amazon
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- Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data
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Informações sobre o DOI: 10.3390/f12121724 (Fonte: oaDOI API)
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