Source: International Journal of Applied Earth Observation and Geoinformation. Unidade: ESALQ
Subjects: SOLO TROPICAL, ESPECTROSCOPIA
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ABNT
FRANCESCHINI, M. H. D et al. Prediction of soil properties using imaging spectroscopy: considering fractional vegetation cover to improve accuracy. International Journal of Applied Earth Observation and Geoinformation, v. 38, p. 358–370, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.jag.2015.01.019. Acesso em: 08 nov. 2024.APA
Franceschini, M. H. D., Demattê, J. A. M., Terra, F. da S., & Vicente, L. E. (2015). Prediction of soil properties using imaging spectroscopy: considering fractional vegetation cover to improve accuracy. International Journal of Applied Earth Observation and Geoinformation, 38, 358–370. doi:10.1016/j.jag.2015.01.019NLM
Franceschini MHD, Demattê JAM, Terra F da S, Vicente LE. Prediction of soil properties using imaging spectroscopy: considering fractional vegetation cover to improve accuracy [Internet]. International Journal of Applied Earth Observation and Geoinformation. 2015 ; 38 358–370.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.jag.2015.01.019Vancouver
Franceschini MHD, Demattê JAM, Terra F da S, Vicente LE. Prediction of soil properties using imaging spectroscopy: considering fractional vegetation cover to improve accuracy [Internet]. International Journal of Applied Earth Observation and Geoinformation. 2015 ; 38 358–370.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.jag.2015.01.019
