Filtros : "Silva, Carlos A" "EU Horizon 2020 Marie Sklodowska-Curie Action" Removido: "ESALQ-LCF" Limpar

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  • Source: European Journal of Remote Sensing. Unidade: ESALQ

    Subjects: BIOMASSA, FLORESTAS, MODELOS MATEMÁTICOS, TECNOLOGIA LIDAR

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      VALBUENA, Ruben et al. Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient?. European Journal of Remote Sensing, v. 52, n. 1, p. 345-358, 2019Tradução . . Disponível em: https://doi.org/10.1080/22797254.2019.1605624. Acesso em: 03 out. 2024.
    • APA

      Valbuena, R., Hernando, A., Manzanera, J. A., Görgens, E. B., Almeida, D. R. A. de, Silva, C. A., & García-Abril, A. (2019). Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient? European Journal of Remote Sensing, 52( 1), 345-358. doi:10.1080/22797254.2019.1605624
    • NLM

      Valbuena R, Hernando A, Manzanera JA, Görgens EB, Almeida DRA de, Silva CA, García-Abril A. Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient? [Internet]. European Journal of Remote Sensing. 2019 ; 52( 1): 345-358.[citado 2024 out. 03 ] Available from: https://doi.org/10.1080/22797254.2019.1605624
    • Vancouver

      Valbuena R, Hernando A, Manzanera JA, Görgens EB, Almeida DRA de, Silva CA, García-Abril A. Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient? [Internet]. European Journal of Remote Sensing. 2019 ; 52( 1): 345-358.[citado 2024 out. 03 ] Available from: https://doi.org/10.1080/22797254.2019.1605624

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