Source: Forest Ecology and Management. Unidade: ESALQ
Subjects: AMOSTRAGEM, ANÁLISE DE CONGLOMERADOS, FLORESTAS TROPICAIS, ÍNDICE DE ÁREA FOLIAR, MONITORAMENTO AMBIENTAL, TECNOLOGIA LIDAR
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PAPA, D. de A et al. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. Forest Ecology and Management, p. 1-9, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.foreco.2019.117634. Acesso em: 13 nov. 2024.APA
Papa, D. de A., Almeida, D. R. A. de, Silva, C. A., Figueiredo, E. O., Stark, S. C., Valbuena, R., et al. (2019). Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. Forest Ecology and Management, 1-9. doi:10.1016/j.foreco.2019.117634NLM
Papa D de A, Almeida DRA de, Silva CA, Figueiredo EO, Stark SC, Valbuena R, Rodriguez LCE, d' Oliveira MVN. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring [Internet]. Forest Ecology and Management. 2019 ; 1-9.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.foreco.2019.117634Vancouver
Papa D de A, Almeida DRA de, Silva CA, Figueiredo EO, Stark SC, Valbuena R, Rodriguez LCE, d' Oliveira MVN. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring [Internet]. Forest Ecology and Management. 2019 ; 1-9.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.foreco.2019.117634