Automated Eucalyptus inventory: comparison of manual, CHM and LiDAR methods (2026)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; BRANCO, KALINKA REGINA LUCAS JAQUIE CASTELO - ICMC ; FREIRE, DANIELA LOPES - ICMC ; COLTURATO, ADIMARA BENTIVOGLIO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-032-10489-2_45
- Subjects: INVENTÁRIO FLORESTAL; DENDROMETRIA; BIOMASSA; SENSORIAMENTO REMOTO; EUCALIPTO
- Keywords: LiDAR; Watershed Segmentation
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
09. Indústria, inovação e infraestrutura
15. Vida terrestre
- Imprenta:
- Source:
- Título: Lecture Notes in Computer Science - LNCS
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 16239, p. 528-540, 2026
- Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FREIRE, Daniela Lopes et al. Automated Eucalyptus inventory: comparison of manual, CHM and LiDAR methods. Lecture Notes in Computer Science - LNCS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-10489-2_45. Acesso em: 22 jan. 2026. , 2026 -
APA
Freire, D. L., Colturato, A. B., Pelin, L., Palmu, V., Reis, C., Carvalho, A. C. P. de L. F. de, & Branco, K. R. L. J. C. (2026). Automated Eucalyptus inventory: comparison of manual, CHM and LiDAR methods. Lecture Notes in Computer Science - LNCS. Cham: Springer. doi:10.1007/978-3-032-10489-2_45 -
NLM
Freire DL, Colturato AB, Pelin L, Palmu V, Reis C, Carvalho ACP de LF de, Branco KRLJC. Automated Eucalyptus inventory: comparison of manual, CHM and LiDAR methods [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 16239 528-540.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/978-3-032-10489-2_45 -
Vancouver
Freire DL, Colturato AB, Pelin L, Palmu V, Reis C, Carvalho ACP de LF de, Branco KRLJC. Automated Eucalyptus inventory: comparison of manual, CHM and LiDAR methods [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 16239 528-540.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/978-3-032-10489-2_45 - Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification
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Informações sobre o DOI: 10.1007/978-3-032-10489-2_45 (Fonte: oaDOI API)
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