Tree-level carbon stock estimations across diverse species using multi-source remote sensing integration (2025)
- Authors:
- Autor USP: FERREIRA, MATHEUS PINHEIRO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.compag.2025.109904
- Subjects: AERONAVES NÃO TRIPULADAS; ÁRVORES FLORESTAIS; CARBONO; DOSSEL (BOTÂNICA); IMAGEAMENTO DE SATÉLITE; SENSORIAMENTO REMOTO
- Keywords: Índices de vegetação
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computers and Electronics in Agriculture
- ISSN: 0168-1699
- Volume/Número/Paginação/Ano: v. 231, art. 109904, p. 1-16, 2025
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
LI, Qing et al. Tree-level carbon stock estimations across diverse species using multi-source remote sensing integration. Computers and Electronics in Agriculture, v. 231, p. 1-16, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2025.109904. Acesso em: 24 mar. 2026. -
APA
Li, Q., Yin, J., Zhang, X., Hao, D., Ferreira, M. P., Yan, W., et al. (2025). Tree-level carbon stock estimations across diverse species using multi-source remote sensing integration. Computers and Electronics in Agriculture, 231, 1-16. doi:10.1016/j.compag.2025.109904 -
NLM
Li Q, Yin J, Zhang X, Hao D, Ferreira MP, Yan W, Tian Y, Zhang D, Tan S, Nie S, An T, Li X, Huang J, Su W, Zeng Y. Tree-level carbon stock estimations across diverse species using multi-source remote sensing integration [Internet]. Computers and Electronics in Agriculture. 2025 ; 231 1-16.[citado 2026 mar. 24 ] Available from: https://doi.org/10.1016/j.compag.2025.109904 -
Vancouver
Li Q, Yin J, Zhang X, Hao D, Ferreira MP, Yan W, Tian Y, Zhang D, Tan S, Nie S, An T, Li X, Huang J, Su W, Zeng Y. Tree-level carbon stock estimations across diverse species using multi-source remote sensing integration [Internet]. Computers and Electronics in Agriculture. 2025 ; 231 1-16.[citado 2026 mar. 24 ] Available from: https://doi.org/10.1016/j.compag.2025.109904 - Estimating aboveground biomass of tropical urban forests with UAV-borne hyperspectral and LiDAR data
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