Soil erodibility and its influential factors in the Middle East (2021)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; POPPIEL, RAUL ROBERTO - ESALQ ; TAYEBI, MAHBOOBEH - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/B978-0-323-89861-4.00037-3
- Subjects: ADMINISTRAÇÃO DE RISCO AMBIENTAL; APRENDIZADO COMPUTACIONAL; CONSERVAÇÃO DO SOLO; EROSÃO; INTELIGÊNCIA ARTIFICIAL; MODELAGEM DE DADOS; SENSORIAMENTO REMOTO
- Language: Inglês
- Imprenta:
- Source:
- Título: Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management
- Volume/Número/Paginação/Ano: 704 p
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
OSTOVARI, Y et al. Soil erodibility and its influential factors in the Middle East. Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Tradução . Amsterdam: Elsevier, 2021. . Disponível em: https://doi.org/10.1016/B978-0-323-89861-4.00037-3. Acesso em: 31 mar. 2026. -
APA
Ostovari, Y., Moosavi, A. A., Mozaffari, H., Poppiel, R. R., Tayebi, M., & Dematte, J. A. M. (2021). Soil erodibility and its influential factors in the Middle East. In Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Amsterdam: Elsevier. doi:10.1016/B978-0-323-89861-4.00037-3 -
NLM
Ostovari Y, Moosavi AA, Mozaffari H, Poppiel RR, Tayebi M, Dematte JAM. Soil erodibility and its influential factors in the Middle East [Internet]. In: Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Amsterdam: Elsevier; 2021. [citado 2026 mar. 31 ] Available from: https://doi.org/10.1016/B978-0-323-89861-4.00037-3 -
Vancouver
Ostovari Y, Moosavi AA, Mozaffari H, Poppiel RR, Tayebi M, Dematte JAM. Soil erodibility and its influential factors in the Middle East [Internet]. In: Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management. Amsterdam: Elsevier; 2021. [citado 2026 mar. 31 ] Available from: https://doi.org/10.1016/B978-0-323-89861-4.00037-3 - High resolution middle eastern soil attributes mapping via open data and cloud computing
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