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  • Source: Journal of South American Earth Sciences. Unidade: IEE

    Assunto: DESLIZAMENTO DE TERRA

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      DIAS, Helen Cristina e GROHMANN, Carlos Henrique. Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping. Journal of South American Earth Sciences, v. 135, p. art.104805/1-10, 2024Tradução . . Acesso em: 18 abr. 2024.
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      Dias, H. C., & Grohmann, C. H. (2024). Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping. Journal of South American Earth Sciences, 135, art.104805/1-10.
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      Dias HC, Grohmann CH. Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping. Journal of South American Earth Sciences. 2024 ;135 art.104805/1-10.[citado 2024 abr. 18 ]
    • Vancouver

      Dias HC, Grohmann CH. Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping. Journal of South American Earth Sciences. 2024 ;135 art.104805/1-10.[citado 2024 abr. 18 ]
  • Source: Scientific Reports. Unidades: IGC, IB, IAG, IEE

    Assunto: PALEOBOTÂNICA

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      PINAYA, Jorge Luiz Diaz et al. Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM. Scientific Reports, v. 14, n. , p. -, 2024Tradução . . Disponível em: https://doi.org/10.1038/s41598-024-51763-8. Acesso em: 18 abr. 2024.
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      Pinaya, J. L. D., Pitman, N. C. A., Cruz, F. W., Akabane, T. K., Sanz Lopez, M. del C., Pereira Filho, A. J., et al. (2024). Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM. Scientific Reports, 14( ), -. doi:10.1038/s41598-024-51763-8
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      Pinaya JLD, Pitman NCA, Cruz FW, Akabane TK, Sanz Lopez M del C, Pereira Filho AJ, Grohmann CH, Reis LS, Rodrigues ESF, Ceccantini G, Oliveira PE de. Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM [Internet]. Scientific Reports. 2024 ; 14( ): -.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1038/s41598-024-51763-8
    • Vancouver

      Pinaya JLD, Pitman NCA, Cruz FW, Akabane TK, Sanz Lopez M del C, Pereira Filho AJ, Grohmann CH, Reis LS, Rodrigues ESF, Ceccantini G, Oliveira PE de. Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM [Internet]. Scientific Reports. 2024 ; 14( ): -.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1038/s41598-024-51763-8
  • Source: GI_Forum. Unidade: IEE

    Assunto: DESLIZAMENTO DE TERRA

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      DIAS, Helen Cristina et al. Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows. GI_Forum, v. 11, n. 1, p. 34-44, 2023Tradução . . Disponível em: https://austriaca.at/0xc1aa5576_0x003e555a.pdf. Acesso em: 18 abr. 2024.
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      Dias, H. C., Holbling, D., Dias, V. C., & Grohmann, C. H. (2023). Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows. GI_Forum, 11( 1), 34-44. Recuperado de https://austriaca.at/0xc1aa5576_0x003e555a.pdf
    • NLM

      Dias HC, Holbling D, Dias VC, Grohmann CH. Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows [Internet]. GI_Forum. 2023 ;11( 1): 34-44.[citado 2024 abr. 18 ] Available from: https://austriaca.at/0xc1aa5576_0x003e555a.pdf
    • Vancouver

      Dias HC, Holbling D, Dias VC, Grohmann CH. Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows [Internet]. GI_Forum. 2023 ;11( 1): 34-44.[citado 2024 abr. 18 ] Available from: https://austriaca.at/0xc1aa5576_0x003e555a.pdf
  • Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      GROHMANN, Carlos Henrique et al. RPA flight pattern and GCP influence on SfMMVS modeling of a stable landslide in SE Brazil. 2023, Anais.. [S.l.]: International Society for Geomorphometry, 2023. Disponível em: https://doi.org/10.5281/zenodo.7779223. Acesso em: 18 abr. 2024.
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      Grohmann, C. H., Garcia, G. P. B., Viana, C. D., Dias, H. C., & Coelho, R. D. (2023). RPA flight pattern and GCP influence on SfMMVS modeling of a stable landslide in SE Brazil. In Proceedings. Geomorphometry 2023. International Society for Geomorphometry. doi:10.5281/zenodo.7779223
    • NLM

      Grohmann CH, Garcia GPB, Viana CD, Dias HC, Coelho RD. RPA flight pattern and GCP influence on SfMMVS modeling of a stable landslide in SE Brazil [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.7779223
    • Vancouver

      Grohmann CH, Garcia GPB, Viana CD, Dias HC, Coelho RD. RPA flight pattern and GCP influence on SfMMVS modeling of a stable landslide in SE Brazil [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.7779223
  • Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      GUTH, Peter L e GROHMANN, Carlos Henrique e TREVISANI, Sebastiano. Subjective criterion for the DEMIX wine contest: hillshade maps. 2023, Anais.. [S.l.]: International Society for Geomorphometry, 2023. Disponível em: https://doi.org/10.5281/zenodo.8030735. Acesso em: 18 abr. 2024.
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      Guth, P. L., Grohmann, C. H., & Trevisani, S. (2023). Subjective criterion for the DEMIX wine contest: hillshade maps. In Proceedings. Geomorphometry 2023. International Society for Geomorphometry. doi:10.5281/zenodo.8030735
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      Guth PL, Grohmann CH, Trevisani S. Subjective criterion for the DEMIX wine contest: hillshade maps [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.8030735
    • Vancouver

      Guth PL, Grohmann CH, Trevisani S. Subjective criterion for the DEMIX wine contest: hillshade maps [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.8030735
  • Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry, Geomorphometry. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      Geomorphometry 2023. Proceedings. 2023, Anais.. Iasi: Instituto de Energia e Ambiente, Universidade de São Paulo, 2023. Disponível em: https://www.geo.uaic.ro/geomorphometry2023/wp-content/uploads/2023/07/Geomorphometry_2023_Proceedings_book.pdf. Acesso em: 18 abr. 2024.
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      Geomorphometry 2023. Proceedings. (2023). Geomorphometry 2023. Proceedings. In Proceedings. Geomorphometry 2023. Iasi: Instituto de Energia e Ambiente, Universidade de São Paulo. Recuperado de https://www.geo.uaic.ro/geomorphometry2023/wp-content/uploads/2023/07/Geomorphometry_2023_Proceedings_book.pdf
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      Geomorphometry 2023. Proceedings [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://www.geo.uaic.ro/geomorphometry2023/wp-content/uploads/2023/07/Geomorphometry_2023_Proceedings_book.pdf
    • Vancouver

      Geomorphometry 2023. Proceedings [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://www.geo.uaic.ro/geomorphometry2023/wp-content/uploads/2023/07/Geomorphometry_2023_Proceedings_book.pdf
  • Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry, Geomorphometry (7. 2023).Proceedings. Geomorphometry 2023, p.8-10. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      GUTH, Peter L e GROHMANN, Carlos Henrique e TREVISAN, Sebastiano. Geomorphometric and geospatial patterns in differences between ALOS and COPDEM. 2023, Anais.. [S.l.]: International Society for Geomorphometry, 2023. Disponível em: https://doi.org/10.5281/zenodo.8057703. Acesso em: 18 abr. 2024.
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      Guth, P. L., Grohmann, C. H., & Trevisan, S. (2023). Geomorphometric and geospatial patterns in differences between ALOS and COPDEM. In Proceedings. Geomorphometry 2023. International Society for Geomorphometry. doi:10.5281/zenodo.8057703
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      Guth PL, Grohmann CH, Trevisan S. Geomorphometric and geospatial patterns in differences between ALOS and COPDEM [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.8057703
    • Vancouver

      Guth PL, Grohmann CH, Trevisan S. Geomorphometric and geospatial patterns in differences between ALOS and COPDEM [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.8057703
  • Source: Revista Brasileira de Geografia Física. Unidade: IEE

    Assunto: BIOMASSA

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      SILVA, Jaciely Gabriela Melo da et al. Distribuição da Biomassa vegetal e sequestro de carbono na sub-bacia do RioPirajibu no município de Sorocaba/SP. Revista Brasileira de Geografia Física, v. 16, n. 03, p. 1647-1656, 2023Tradução . . Disponível em: https://periodicos.ufpe.br/revistas/rbgfe/article/view/256662. Acesso em: 18 abr. 2024.
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      Silva, J. G. M. da, Quintanilha, J. A., Grohmann, C. H., Costa, D. R. da, Costa, J. D. M. da, & Silva, J. M. S. da. (2023). Distribuição da Biomassa vegetal e sequestro de carbono na sub-bacia do RioPirajibu no município de Sorocaba/SP. Revista Brasileira de Geografia Física, 16( 03), 1647-1656. Recuperado de https://periodicos.ufpe.br/revistas/rbgfe/article/view/256662
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      Silva JGM da, Quintanilha JA, Grohmann CH, Costa DR da, Costa JDM da, Silva JMS da. Distribuição da Biomassa vegetal e sequestro de carbono na sub-bacia do RioPirajibu no município de Sorocaba/SP [Internet]. Revista Brasileira de Geografia Física. 2023 ;16( 03): 1647-1656.[citado 2024 abr. 18 ] Available from: https://periodicos.ufpe.br/revistas/rbgfe/article/view/256662
    • Vancouver

      Silva JGM da, Quintanilha JA, Grohmann CH, Costa DR da, Costa JDM da, Silva JMS da. Distribuição da Biomassa vegetal e sequestro de carbono na sub-bacia do RioPirajibu no município de Sorocaba/SP [Internet]. Revista Brasileira de Geografia Física. 2023 ;16( 03): 1647-1656.[citado 2024 abr. 18 ] Available from: https://periodicos.ufpe.br/revistas/rbgfe/article/view/256662
  • Source: Abstract EGU23. Conference titles: EGU General Assembly 2023. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      DIAS, Helen Cristina e HOLBLING, Daniel e GROHMANN, Carlos Henrique. An object-based approach for semi-automated shallow landslide mapping: suitability and comparison in Itaóca (SP) and Nova Friburgo (RJ), southeastern Brazil. 2023, Anais.. Viena: Instituto de Energia e Ambiente, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.5194/egusphere-egu23-158. Acesso em: 18 abr. 2024.
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      Dias, H. C., Holbling, D., & Grohmann, C. H. (2023). An object-based approach for semi-automated shallow landslide mapping: suitability and comparison in Itaóca (SP) and Nova Friburgo (RJ), southeastern Brazil. In Abstract EGU23. Viena: Instituto de Energia e Ambiente, Universidade de São Paulo. doi:10.5194/egusphere-egu23-158
    • NLM

      Dias HC, Holbling D, Grohmann CH. An object-based approach for semi-automated shallow landslide mapping: suitability and comparison in Itaóca (SP) and Nova Friburgo (RJ), southeastern Brazil [Internet]. Abstract EGU23. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5194/egusphere-egu23-158
    • Vancouver

      Dias HC, Holbling D, Grohmann CH. An object-based approach for semi-automated shallow landslide mapping: suitability and comparison in Itaóca (SP) and Nova Friburgo (RJ), southeastern Brazil [Internet]. Abstract EGU23. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5194/egusphere-egu23-158
  • Source: Abstract EGU23. Conference titles: EGU General Assembly 2023. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      DIAS, Vivian Cristina e DIAS, Helen Cristina e GROHMANN, Carlos Henrique. Distinction between watersheds prone to debris flow, debris flood, and flood using morphometry in Serra do Mar, Brazil (São Paulo State North shore). 2023, Anais.. Viena: Instituto de Energia e Ambiente, Universidade de São Paulo, 2023. Disponível em: https://doi.org/10.5194/egusphere-egu23-1052. Acesso em: 18 abr. 2024.
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      Dias, V. C., Dias, H. C., & Grohmann, C. H. (2023). Distinction between watersheds prone to debris flow, debris flood, and flood using morphometry in Serra do Mar, Brazil (São Paulo State North shore). In Abstract EGU23. Viena: Instituto de Energia e Ambiente, Universidade de São Paulo. doi:10.5194/egusphere-egu23-1052
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      Dias VC, Dias HC, Grohmann CH. Distinction between watersheds prone to debris flow, debris flood, and flood using morphometry in Serra do Mar, Brazil (São Paulo State North shore) [Internet]. Abstract EGU23. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5194/egusphere-egu23-1052
    • Vancouver

      Dias VC, Dias HC, Grohmann CH. Distinction between watersheds prone to debris flow, debris flood, and flood using morphometry in Serra do Mar, Brazil (São Paulo State North shore) [Internet]. Abstract EGU23. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5194/egusphere-egu23-1052
  • Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      GROHMANN, Carlos Henrique. The DEMIX Wine Contest Jupyter notebook. 2023, Anais.. [S.l.]: International Society for Geomorphometry, 2023. Disponível em: https://doi.org/10.5281/zenodo.7779255. Acesso em: 18 abr. 2024.
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      Grohmann, C. H. (2023). The DEMIX Wine Contest Jupyter notebook. In Proceedings. Geomorphometry 2023. International Society for Geomorphometry. doi:10.5281/zenodo.7779255
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      Grohmann CH. The DEMIX Wine Contest Jupyter notebook [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.7779255
    • Vancouver

      Grohmann CH. The DEMIX Wine Contest Jupyter notebook [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.7779255
  • Source: MethodsX. Unidades: IEE, IGC

    Subjects: AERONAVES NÃO TRIPULADAS, MINERAÇÃO, GEOLOGIA ESTRUTURAL, PEDREIRAS, TALUDES

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      GROHMANN, Carlos Henrique et al. Remotely piloted aircraft‐based automated vertical surface survey. MethodsX, v. 10, n. , p. 101982-, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.mex.2022.101982. Acesso em: 18 abr. 2024.
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      Grohmann, C. H., Viana, C. D., Garcia, G. P. B., & Albuquerque, R. W. (2023). Remotely piloted aircraft‐based automated vertical surface survey. MethodsX, 10( ), 101982-. doi:10.1016/j.mex.2022.101982
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      Grohmann CH, Viana CD, Garcia GPB, Albuquerque RW. Remotely piloted aircraft‐based automated vertical surface survey [Internet]. MethodsX. 2023 ; 10( ): 101982-.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1016/j.mex.2022.101982
    • Vancouver

      Grohmann CH, Viana CD, Garcia GPB, Albuquerque RW. Remotely piloted aircraft‐based automated vertical surface survey [Internet]. MethodsX. 2023 ; 10( ): 101982-.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1016/j.mex.2022.101982
  • Source: Terrae Didatica. Unidades: IEE, EESC

    Assunto: MAPA GEOLÓGICO

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      HARTWIG, Marcos Eduardo Hartwig et al. Diretrizes para o mapeamento geológico em disciplinas de graduação. Terrae Didatica, v. 19, p. e023012/1-12, 2023Tradução . . Disponível em: https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8672766/32038. Acesso em: 18 abr. 2024.
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      Hartwig, M. E. H., Tonete, R., Simplicio, F., Ribeiro, J. C., Moreira, C. A., & Grohmann, C. H. (2023). Diretrizes para o mapeamento geológico em disciplinas de graduação. Terrae Didatica, 19, e023012/1-12. Recuperado de https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8672766/32038
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      Hartwig MEH, Tonete R, Simplicio F, Ribeiro JC, Moreira CA, Grohmann CH. Diretrizes para o mapeamento geológico em disciplinas de graduação [Internet]. Terrae Didatica. 2023 ;19 e023012/1-12.[citado 2024 abr. 18 ] Available from: https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8672766/32038
    • Vancouver

      Hartwig MEH, Tonete R, Simplicio F, Ribeiro JC, Moreira CA, Grohmann CH. Diretrizes para o mapeamento geológico em disciplinas de graduação [Internet]. Terrae Didatica. 2023 ;19 e023012/1-12.[citado 2024 abr. 18 ] Available from: https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8672766/32038
  • Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE

    Assunto: GEOMORFOMETRIA

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      GUTH, Peter L et al. Going Forward: extending and exploiting the DEMIX database with MICRODEM. 2023, Anais.. [S.l.]: International Society for Geomorphometry, 2023. Disponível em: https://doi.org/10.5281/zenodo.8092218. Acesso em: 18 abr. 2024.
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      Guth, P. L., Grohmann, C. H., Trevisani, S., & Bielski, C. (2023). Going Forward: extending and exploiting the DEMIX database with MICRODEM. In Proceedings. Geomorphometry 2023. International Society for Geomorphometry. doi:10.5281/zenodo.8092218
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      Guth PL, Grohmann CH, Trevisani S, Bielski C. Going Forward: extending and exploiting the DEMIX database with MICRODEM [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.8092218
    • Vancouver

      Guth PL, Grohmann CH, Trevisani S, Bielski C. Going Forward: extending and exploiting the DEMIX database with MICRODEM [Internet]. Proceedings. Geomorphometry 2023. 2023 ;[citado 2024 abr. 18 ] Available from: https://doi.org/10.5281/zenodo.8092218
  • Source: Remote Sensing. Unidades: IGC, IEE

    Subjects: GEOLOGIA AMBIENTAL, MONITORAMENTO AMBIENTAL, DESLIZAMENTO DE TERRA

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      SOUSA, Amanda Mendes de et al. Monitoring geological risk areas in the city of São Paulo based on multi-temporal high-resolution 3D models. Remote Sensing, v. 15, n. 12, p. 3028-, 2023Tradução . . Disponível em: https://doi.org/10.3390/rs15123028. Acesso em: 18 abr. 2024.
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      Sousa, A. M. de, Viana, C. D., Garcia, G. P. B., & Grohmann, C. H. (2023). Monitoring geological risk areas in the city of São Paulo based on multi-temporal high-resolution 3D models. Remote Sensing, 15( 12), 3028-. doi:10.3390/rs15123028
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      Sousa AM de, Viana CD, Garcia GPB, Grohmann CH. Monitoring geological risk areas in the city of São Paulo based on multi-temporal high-resolution 3D models [Internet]. Remote Sensing. 2023 ; 15( 12): 3028-.[citado 2024 abr. 18 ] Available from: https://doi.org/10.3390/rs15123028
    • Vancouver

      Sousa AM de, Viana CD, Garcia GPB, Grohmann CH. Monitoring geological risk areas in the city of São Paulo based on multi-temporal high-resolution 3D models [Internet]. Remote Sensing. 2023 ; 15( 12): 3028-.[citado 2024 abr. 18 ] Available from: https://doi.org/10.3390/rs15123028
  • Source: International Journal of Remote Sensing. Unidades: IEE, IGC, IME

    Subjects: DESLIZAMENTO DE TERRA, SENSORIAMENTO REMOTO

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      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: 18 abr. 2024.
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      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
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      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 abr. 18 ] 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 abr. 18 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
  • Source: Coasts. Unidades: IEE, IO, EACH

    Assunto: EROSÃO

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      FERREIRA, Anderson Targino da Silva et al. Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models. Coasts, v. 3, n. 3, p. 160-174, 2023Tradução . . Disponível em: https://www.mdpi.com/2673-964X/3/3/10. Acesso em: 18 abr. 2024.
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      Ferreira, A. T. da S., Oliveira, R. C. de, Ribeiro, M. C. H., Grohmann, C. H., & Siegle, E. (2023). Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models. Coasts, 3( 3), 160-174. Recuperado de https://www.mdpi.com/2673-964X/3/3/10
    • NLM

      Ferreira AT da S, Oliveira RC de, Ribeiro MCH, Grohmann CH, Siegle E. Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models [Internet]. Coasts. 2023 ; 3( 3): 160-174.[citado 2024 abr. 18 ] Available from: https://www.mdpi.com/2673-964X/3/3/10
    • Vancouver

      Ferreira AT da S, Oliveira RC de, Ribeiro MCH, Grohmann CH, Siegle E. Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models [Internet]. Coasts. 2023 ; 3( 3): 160-174.[citado 2024 abr. 18 ] Available from: https://www.mdpi.com/2673-964X/3/3/10
  • Source: Open Geosciences. Unidade: IEE

    Assunto: MONITORAMENTO AMBIENTAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      ALBUQUERQUE, Rafael Walter et al. A protocol for canopy cover monitoring on forest restoration projects using low-cost drones. Open Geosciences, v. 14, n. 1, p. 921-929, 2022Tradução . . Disponível em: https://doi.org/10.1515/geo-2022-0406. Acesso em: 18 abr. 2024.
    • APA

      Albuquerque, R. W., Matsumoto, M. H., Calmon, M., Ferreira, M. E., Vieira, D. L. M., & Grohmann, C. H. (2022). A protocol for canopy cover monitoring on forest restoration projects using low-cost drones. Open Geosciences, 14( 1), 921-929. doi:10.1515/geo-2022-0406
    • NLM

      Albuquerque RW, Matsumoto MH, Calmon M, Ferreira ME, Vieira DLM, Grohmann CH. A protocol for canopy cover monitoring on forest restoration projects using low-cost drones [Internet]. Open Geosciences. 2022 ; 14( 1): 921-929.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1515/geo-2022-0406
    • Vancouver

      Albuquerque RW, Matsumoto MH, Calmon M, Ferreira ME, Vieira DLM, Grohmann CH. A protocol for canopy cover monitoring on forest restoration projects using low-cost drones [Internet]. Open Geosciences. 2022 ; 14( 1): 921-929.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1515/geo-2022-0406
  • 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: 18 abr. 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 abr. 18 ] 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 abr. 18 ] Available from: https://doi.org/10.1007/s10346-022-01861-3
  • Source: Remote Sensing. Unidades: IEE, IGC

    Assunto: DESLIZAMENTO DE TERRA

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

      SOARES, Lucas Pedrosa et al. Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil. Remote Sensing, v. 14, n. 9, p. e2237/1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/rs14092237. Acesso em: 18 abr. 2024.
    • APA

      Soares, L. P., Dias, H. C., Garcia, G. P. B., & Grohmann, C. H. (2022). Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil. Remote Sensing, 14( 9), e2237/1-17. doi:10.3390/rs14092237
    • NLM

      Soares LP, Dias HC, Garcia GPB, Grohmann CH. Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil [Internet]. Remote Sensing. 2022 ; 14( 9):e2237/1-17.[citado 2024 abr. 18 ] Available from: https://doi.org/10.3390/rs14092237
    • Vancouver

      Soares LP, Dias HC, Garcia GPB, Grohmann CH. Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil [Internet]. Remote Sensing. 2022 ; 14( 9):e2237/1-17.[citado 2024 abr. 18 ] Available from: https://doi.org/10.3390/rs14092237

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