Source: Geoderma Regional. Unidade: ESALQ
Subjects: DEGRADAÇÃO DO SOLO, EROSÃO, SENSORIAMENTO REMOTO, SISTEMA DE INFORMAÇÃO GEOGRÁFICA
ABNT
OSTOVARI, Yaser et al. Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region. Geoderma Regional, v. 11, p. 28-36, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.geodrs.2017.06.003. Acesso em: 10 out. 2024.APA
Ostovari, Y., Ghorbani-Dashtaki, S., Bahrami, H. -A., Naderi, M., & Dematte, J. A. M. (2017). Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region. Geoderma Regional, 11, 28-36. doi:10.1016/j.geodrs.2017.06.003NLM
Ostovari Y, Ghorbani-Dashtaki S, Bahrami H-A, Naderi M, Dematte JAM. Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region [Internet]. Geoderma Regional. 2017 ; 11 28-36.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.geodrs.2017.06.003Vancouver
Ostovari Y, Ghorbani-Dashtaki S, Bahrami H-A, Naderi M, Dematte JAM. Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region [Internet]. Geoderma Regional. 2017 ; 11 28-36.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.geodrs.2017.06.003