Source: International Journal of Remote Sensing. Unidade: CENA
Subjects: GEOPROCESSAMENTO, PASTAGENS
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SEYLER, F et al. Pasture mapping by classification of Landsat TM images: Analysis of the spectral behaviour of the pasture class in a real medium-scale environment: the case of the Piracicaba catchment (12400 km2, Brazil). International Journal of Remote Sensing, v. 23, n. 23, p. 4985-5004, 2002Tradução . . Disponível em: https://doi.org/10.1080/01431160210146217. Acesso em: 08 jun. 2024.APA
Seyler, F., Chaplot, V., Muller, F., Cerri, C. E. P., Bernoux, M., Ballester, V., et al. (2002). Pasture mapping by classification of Landsat TM images: Analysis of the spectral behaviour of the pasture class in a real medium-scale environment: the case of the Piracicaba catchment (12400 km2, Brazil). International Journal of Remote Sensing, 23( 23), 4985-5004. doi:10.1080/01431160210146217NLM
Seyler F, Chaplot V, Muller F, Cerri CEP, Bernoux M, Ballester V, Feller C, Cerri CC. Pasture mapping by classification of Landsat TM images: Analysis of the spectral behaviour of the pasture class in a real medium-scale environment: the case of the Piracicaba catchment (12400 km2, Brazil) [Internet]. International Journal of Remote Sensing. 2002 ;23( 23): 4985-5004.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/01431160210146217Vancouver
Seyler F, Chaplot V, Muller F, Cerri CEP, Bernoux M, Ballester V, Feller C, Cerri CC. Pasture mapping by classification of Landsat TM images: Analysis of the spectral behaviour of the pasture class in a real medium-scale environment: the case of the Piracicaba catchment (12400 km2, Brazil) [Internet]. International Journal of Remote Sensing. 2002 ;23( 23): 4985-5004.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1080/01431160210146217
