A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits (2022)
- Authors:
- Autor USP: ALMEIDA, DANILO ROBERTI ALVES DE - ESALQ
- Unidade: ESALQ
- DOI: 10.3390/rs14040933
- Subjects: CARBONO; CORTE (PLANTAS); DOSSEL (BOTÂNICA); ECOSSISTEMAS FLORESTAIS; FLORESTAS TROPICAIS; MODELAGEM DE DADOS; SENSORIAMENTO REMOTO; TECNOLOGIA LIDAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Remote Sensing
- ISSN: 2072-4292
- Volume/Número/Paginação/Ano: v. 14, art. 933, p. 1-20, February 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
STODDART, Jaz et al. A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits. Remote Sensing, v. 14, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.3390/rs14040933. Acesso em: 24 fev. 2026. -
APA
Stoddart, J., Almeida, D. R. A. de, Silva, C. A., Görgens, E. B., Keller, M., & Valbuena, R. (2022). A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits. Remote Sensing, 14, 1-20. doi:10.3390/rs14040933 -
NLM
Stoddart J, Almeida DRA de, Silva CA, Görgens EB, Keller M, Valbuena R. A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits [Internet]. Remote Sensing. 2022 ; 14 1-20.[citado 2026 fev. 24 ] Available from: https://doi.org/10.3390/rs14040933 -
Vancouver
Stoddart J, Almeida DRA de, Silva CA, Görgens EB, Keller M, Valbuena R. A conceptual model for detecting small-scale forest disturbances based on ecosystem worphological traits [Internet]. Remote Sensing. 2022 ; 14 1-20.[citado 2026 fev. 24 ] Available from: https://doi.org/10.3390/rs14040933 - Reframing tropical savannization: linking changes in canopy structure to energy balance alterations that impact climate
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Informações sobre o DOI: 10.3390/rs14040933 (Fonte: oaDOI API)
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