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  • Source: Geological Society, London, Special Publications. Unidades: IEE, IGC

    Subjects: GEOLOGIA ESTRUTURAL, PANGÉA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      SILVA, Ícaro Dias da et al. The influence of synorogenic extension on the crustal architecture of North Gondwana during the assembly of Pangaea (Ossa–Morena Zone, SW Iberia). Geological Society, London, Special Publications, n. , p. 549-578-, 2023Tradução . . Disponível em: https://doi.org/10.1144/SP542-2023-9. Acesso em: 15 out. 2024.
    • APA

      Silva, Í. D. da, Pereira, M. F., Gama, C., Hart, L. S., Barrios Sánchez, S., Alves, K. dos S., et al. (2023). The influence of synorogenic extension on the crustal architecture of North Gondwana during the assembly of Pangaea (Ossa–Morena Zone, SW Iberia). Geological Society, London, Special Publications, ( ), 549-578-. doi:10.1144/SP542-2023-9
    • NLM

      Silva ÍD da, Pereira MF, Gama C, Hart LS, Barrios Sánchez S, Alves K dos S, Gómez Barreiro J, Tassinari CCG, Sato K. The influence of synorogenic extension on the crustal architecture of North Gondwana during the assembly of Pangaea (Ossa–Morena Zone, SW Iberia) [Internet]. Geological Society, London, Special Publications. 2023 ;( ): 549-578-.[citado 2024 out. 15 ] Available from: https://doi.org/10.1144/SP542-2023-9
    • Vancouver

      Silva ÍD da, Pereira MF, Gama C, Hart LS, Barrios Sánchez S, Alves K dos S, Gómez Barreiro J, Tassinari CCG, Sato K. The influence of synorogenic extension on the crustal architecture of North Gondwana during the assembly of Pangaea (Ossa–Morena Zone, SW Iberia) [Internet]. Geological Society, London, Special Publications. 2023 ;( ): 549-578-.[citado 2024 out. 15 ] Available from: https://doi.org/10.1144/SP542-2023-9
  • Source: International Journal of Remote Sensing. Unidades: IEE, IGC, IME

    Subjects: DESLIZAMENTO DE TERRA, SENSORIAMENTO REMOTO

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    • ABNT

      GARCIA, Guilherme Pereira Bento et al. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, n. , p. 2168-2195, 2023Tradução . . Disponível em: https://doi.org/10.1080/01431161.2023.2197130. Acesso em: 15 out. 2024.
    • APA

      Garcia, G. P. B., Soares, L., Espadoto, M., & Grohmann, C. H. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, ( ), 2168-2195. doi:10.1080/01431161.2023.2197130
    • NLM

      Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
    • Vancouver

      Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
  • Source: Landslides. Unidades: IEE, IGC

    Assunto: DESLIZAMENTO DE TERRA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      MEENA, Sansar Raj et al. Landslide detection in the Himalayas using machine learning algorithms and U-Net. Landslides, v. 19, p. 1209–1229, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10346-022-01861-3. Acesso em: 15 out. 2024.
    • APA

      Meena, S. R., Soares, L. P., Grohmann, C. H., Van Westen, C., Bhuyan, K., Singh, R. P., et al. (2022). Landslide detection in the Himalayas using machine learning algorithms and U-Net. Landslides, 19, 1209–1229. doi:10.1007/s10346-022-01861-3
    • NLM

      Meena SR, Soares LP, Grohmann CH, Van Westen C, Bhuyan K, Singh RP, Floris M, Catani F. Landslide detection in the Himalayas using machine learning algorithms and U-Net [Internet]. Landslides. 2022 ; 19 1209–1229.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10346-022-01861-3
    • Vancouver

      Meena SR, Soares LP, Grohmann CH, Van Westen C, Bhuyan K, Singh RP, Floris M, Catani F. Landslide detection in the Himalayas using machine learning algorithms and U-Net [Internet]. Landslides. 2022 ; 19 1209–1229.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10346-022-01861-3
  • Source: Journal of Cleaner Production. Unidades: IEE, IGC

    Subjects: FONTES NÃO RENOVÁVEIS DE ENERGIA, XISTO

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    • ABNT

      SILVA FILHO, Saulo Vieira da e PEYERL, Drielli e SANTOS, Edmilson Moutinho dos. Early insights on the fracking impacts to the water-energy nexus in Brazil: is there a risk of water scarcity in the shale gas prospective areas?. Journal of Cleaner Production, v. 336, n. 15 Feb.2022, p. art.130390/1-10, 2022Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0959652622000361/pdfft?md5=1f34995c1c896779c7c6295f3619b46f&pid=1-s2.0-S0959652622000361-main.pdf. Acesso em: 15 out. 2024.
    • APA

      Silva Filho, S. V. da, Peyerl, D., & Santos, E. M. dos. (2022). Early insights on the fracking impacts to the water-energy nexus in Brazil: is there a risk of water scarcity in the shale gas prospective areas? Journal of Cleaner Production, 336( 15 Feb.2022), art.130390/1-10. Recuperado de https://www.sciencedirect.com/science/article/pii/S0959652622000361/pdfft?md5=1f34995c1c896779c7c6295f3619b46f&pid=1-s2.0-S0959652622000361-main.pdf
    • NLM

      Silva Filho SV da, Peyerl D, Santos EM dos. Early insights on the fracking impacts to the water-energy nexus in Brazil: is there a risk of water scarcity in the shale gas prospective areas? [Internet]. Journal of Cleaner Production. 2022 ;336( 15 Feb.2022): art.130390/1-10.[citado 2024 out. 15 ] Available from: https://www.sciencedirect.com/science/article/pii/S0959652622000361/pdfft?md5=1f34995c1c896779c7c6295f3619b46f&pid=1-s2.0-S0959652622000361-main.pdf
    • Vancouver

      Silva Filho SV da, Peyerl D, Santos EM dos. Early insights on the fracking impacts to the water-energy nexus in Brazil: is there a risk of water scarcity in the shale gas prospective areas? [Internet]. Journal of Cleaner Production. 2022 ;336( 15 Feb.2022): art.130390/1-10.[citado 2024 out. 15 ] Available from: https://www.sciencedirect.com/science/article/pii/S0959652622000361/pdfft?md5=1f34995c1c896779c7c6295f3619b46f&pid=1-s2.0-S0959652622000361-main.pdf
  • Source: Journal of Geochemical Exploration. Unidades: IEE, IGC

    Subjects: PETROLOGIA, GEOQUÍMICA DOS MINERAIS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      BORBA, Mauricio Liska et al. Tracking hydrothermal events using zircon REE geochemistry from the Carajás Mineral Province, Brazil. Journal of Geochemical Exploration, v. 221, p. art.106679/1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.gexplo.2020.106679. Acesso em: 15 out. 2024.
    • APA

      Borba, M. L., Tassinari, C. C. G., Matos, F. M. V., Sato, K., Huhn, S., Ferreira, S. N., & Medeiros, C. A. (2021). Tracking hydrothermal events using zircon REE geochemistry from the Carajás Mineral Province, Brazil. Journal of Geochemical Exploration, 221, art.106679/1-11. doi:10.1016/j.gexplo.2020.106679
    • NLM

      Borba ML, Tassinari CCG, Matos FMV, Sato K, Huhn S, Ferreira SN, Medeiros CA. Tracking hydrothermal events using zircon REE geochemistry from the Carajás Mineral Province, Brazil [Internet]. Journal of Geochemical Exploration. 2021 ;221 art.106679/1-11.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.gexplo.2020.106679
    • Vancouver

      Borba ML, Tassinari CCG, Matos FMV, Sato K, Huhn S, Ferreira SN, Medeiros CA. Tracking hydrothermal events using zircon REE geochemistry from the Carajás Mineral Province, Brazil [Internet]. Journal of Geochemical Exploration. 2021 ;221 art.106679/1-11.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.gexplo.2020.106679

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