Source: Remote Sensing. Unidade: ESALQ
Subjects: CARBONO, CORTE (PLANTAS), DOSSEL (BOTÂNICA), ECOSSISTEMAS FLORESTAIS, FLORESTAS TROPICAIS, MODELAGEM DE DADOS, SENSORIAMENTO REMOTO, TECNOLOGIA LIDAR
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: 04 fev. 2025.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/rs14040933NLM
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 2025 fev. 04 ] Available from: https://doi.org/10.3390/rs14040933Vancouver
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 2025 fev. 04 ] Available from: https://doi.org/10.3390/rs14040933