Filtros : "Estados Unidos" "IEE" "IGC" Removidos: "Ciência Ambiental" "Viana, Camila Duelis" "IEE-PEE" "2021" Limpar

Filtros



Refine with date range


  • Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidades: IEE, IGC

    Subjects: DESLIZAMENTO DE TERRA, GEOPROCESSAMENTO

    Versão PublicadaAcesso à fonteAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      XU, Guosen et al. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 15, p. 2644-2659, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2022.3161383. Acesso em: 15 out. 2024.
    • APA

      Xu, G., Wang, Y., Wang, L., Soares, L. P., & Grohmann, C. H. (2022). Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2644-2659. doi:10.1109/JSTARS.2022.3161383.
    • NLM

      Xu G, Wang Y, Wang L, Soares LP, Grohmann CH. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; 15 2644-2659.[citado 2024 out. 15 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
    • Vancouver

      Xu G, Wang Y, Wang L, Soares LP, Grohmann CH. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; 15 2644-2659.[citado 2024 out. 15 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
  • Source: AIMS Geosciences. Unidades: IGC, IEE

    Subjects: RESERVATÓRIOS DE PETRÓLEO, HIDROCARBONETOS, TRANSFORMADA DE FOURIER

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      OLUWADARE, O. A. et al. Application of time-frequency decomposition and seismic attributes for stratigraphic interpretation of thin reservoirs in “Jude Field”, Offshore Niger Delta. AIMS Geosciences, v. 6, n. 3, p. 378-396, 2020Tradução . . Disponível em: https://doi.org/10.3934/geosci.2020021. Acesso em: 15 out. 2024.
    • APA

      Oluwadare, O. A., Olowokere M. T.,, Taioli, F., Enikanselu, P. A., & Abraham-Adejumo, R. M. (2020). Application of time-frequency decomposition and seismic attributes for stratigraphic interpretation of thin reservoirs in “Jude Field”, Offshore Niger Delta. AIMS Geosciences, 6( 3), 378-396. doi:10.3934/geosci.2020021
    • NLM

      Oluwadare OA, Olowokere M. T., Taioli F, Enikanselu PA, Abraham-Adejumo RM. Application of time-frequency decomposition and seismic attributes for stratigraphic interpretation of thin reservoirs in “Jude Field”, Offshore Niger Delta [Internet]. AIMS Geosciences. 2020 ; 6( 3): 378-396.[citado 2024 out. 15 ] Available from: https://doi.org/10.3934/geosci.2020021
    • Vancouver

      Oluwadare OA, Olowokere M. T., Taioli F, Enikanselu PA, Abraham-Adejumo RM. Application of time-frequency decomposition and seismic attributes for stratigraphic interpretation of thin reservoirs in “Jude Field”, Offshore Niger Delta [Internet]. AIMS Geosciences. 2020 ; 6( 3): 378-396.[citado 2024 out. 15 ] Available from: https://doi.org/10.3934/geosci.2020021
  • Source: Environmental Geosciences. Unidades: IEE, FFLCH, EACH, IGC

    Subjects: CARBONO, EFEITO ESTUFA, MUDANÇA CLIMÁTICA, PLANEJAMENTO ENERGÉTICO

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CIOTTA, Mariana et al. An overview of carbon capture and storage atlases around the world. Environmental Geosciences, v. 27, n. 1 (March 2020), p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1306/eg.10221919015. Acesso em: 15 out. 2024.
    • APA

      Ciotta, M., Peyerl, D., Barrozo, L., Sant`Anna, L. G., Santos, E. M. dos, Bermann, C., et al. (2020). An overview of carbon capture and storage atlases around the world. Environmental Geosciences, 27( 1 (March 2020), 1-8. doi:10.1306/eg.10221919015
    • NLM

      Ciotta M, Peyerl D, Barrozo L, Sant`Anna LG, Santos EM dos, Bermann C, Grohmann CH, Moretto EM, Tassinari CCG. An overview of carbon capture and storage atlases around the world [Internet]. Environmental Geosciences. 2020 ; 27( 1 (March 2020): 1-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1306/eg.10221919015
    • Vancouver

      Ciotta M, Peyerl D, Barrozo L, Sant`Anna LG, Santos EM dos, Bermann C, Grohmann CH, Moretto EM, Tassinari CCG. An overview of carbon capture and storage atlases around the world [Internet]. Environmental Geosciences. 2020 ; 27( 1 (March 2020): 1-8.[citado 2024 out. 15 ] Available from: https://doi.org/10.1306/eg.10221919015

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024