Fonte: Remote Sensing. Unidade: ESALQ
Assuntos: ALGORITMOS, AMOSTRAGEM, APRENDIZADO COMPUTACIONAL, DENDROMETRIA, EUCALIPTO, MODELAGEM DE DADOS, TECNOLOGIA LIDAR
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SILVA, Vanessa Sousa da et al. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. Remote Sensing, v. 12, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.3390/rs12091438. Acesso em: 28 out. 2024.APA
Silva, V. S. da, Silva, C. A., Mohan, M., Cardil, A., Rex, F. E., Loureiro, G. H., et al. (2020). Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. Remote Sensing, 12, 1-19. doi:10.3390/rs12091438NLM
Silva VS da, Silva CA, Mohan M, Cardil A, Rex FE, Loureiro GH, Almeida DRA de, Broadbent EN, Gorgens EB, Dalla Corte AP, Silva EA, Valbuena R, Klauberg C. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data [Internet]. Remote Sensing. 2020 ; 12 1-19.[citado 2024 out. 28 ] Available from: https://doi.org/10.3390/rs12091438Vancouver
Silva VS da, Silva CA, Mohan M, Cardil A, Rex FE, Loureiro GH, Almeida DRA de, Broadbent EN, Gorgens EB, Dalla Corte AP, Silva EA, Valbuena R, Klauberg C. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data [Internet]. Remote Sensing. 2020 ; 12 1-19.[citado 2024 out. 28 ] Available from: https://doi.org/10.3390/rs12091438