Filtros : "Grohmann, Carlos Henrique" "ARTIGO DE PERIODICO" "IEE" Removidos: "Indexado no MEDLINE" "Nigéria" "Costa, Danilo Ribeiro da" "JORDAO, RUBENS GUEDES" Limpar

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  • Fonte: 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: 30 jun. 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 jun. 30 ]
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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 jun. 30 ]
  • Fonte: IEEE Transactions on Geoscience and Remote Sensing. Unidade: IEE

    Assunto: TOPOGRAFIA

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      BIELSKI, Conrad et al. Novel Approach for Ranking DEMs: copernicus DEM Improves One Arc Second Open Global Topography. IEEE Transactions on Geoscience and Remote Sensing, v. 62, p. art.4503922/1-22, 2024Tradução . . Disponível em: https://doi.org/10.1109/TGRS.2024.3368015. Acesso em: 30 jun. 2024.
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      Bielski, C., López-Vázquez, C., Grohmann, C. H., Guth, P. L., Hawker, L., Gesch, D., & Trevisani, S. (2024). Novel Approach for Ranking DEMs: copernicus DEM Improves One Arc Second Open Global Topography. IEEE Transactions on Geoscience and Remote Sensing, 62, art.4503922/1-22. doi:10.1109/TGRS.2024.3368015
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      Bielski C, López-Vázquez C, Grohmann CH, Guth PL, Hawker L, Gesch D, Trevisani S. Novel Approach for Ranking DEMs: copernicus DEM Improves One Arc Second Open Global Topography [Internet]. IEEE Transactions on Geoscience and Remote Sensing. 2024 ; 62 art.4503922/1-22.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1109/TGRS.2024.3368015
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      Bielski C, López-Vázquez C, Grohmann CH, Guth PL, Hawker L, Gesch D, Trevisani S. Novel Approach for Ranking DEMs: copernicus DEM Improves One Arc Second Open Global Topography [Internet]. IEEE Transactions on Geoscience and Remote Sensing. 2024 ; 62 art.4503922/1-22.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1109/TGRS.2024.3368015
  • Fonte: 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: 30 jun. 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 jun. 30 ] Available from: https://doi.org/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 jun. 30 ] Available from: https://doi.org/10.1038/s41598-024-51763-8
  • Fonte: Sustainability. Unidades: EP, EACH, IEE

    Assunto: COBERTURA DO SOLO

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      AFFONSO, Alynne Almeida et al. A comparison between supervised classification methods: study case on land cover change detection caused by a hydroelectric complex installation in the Brazilian Amazon. Sustainability, v. 15, n. Ja 2023, p. 01-28, 2023Tradução . . Disponível em: https://doi.org/10.3390/su15021309. Acesso em: 30 jun. 2024.
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      Affonso, A. A., Mandai, S. S., Portella, T. P., Quintanilha, J. A., Conti, L. A., & Grohmann, C. H. (2023). A comparison between supervised classification methods: study case on land cover change detection caused by a hydroelectric complex installation in the Brazilian Amazon. Sustainability, 15( Ja 2023), 01-28. doi:10.3390/su15021309
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      Affonso AA, Mandai SS, Portella TP, Quintanilha JA, Conti LA, Grohmann CH. A comparison between supervised classification methods: study case on land cover change detection caused by a hydroelectric complex installation in the Brazilian Amazon [Internet]. Sustainability. 2023 ; 15( Ja 2023): 01-28.[citado 2024 jun. 30 ] Available from: https://doi.org/10.3390/su15021309
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      Affonso AA, Mandai SS, Portella TP, Quintanilha JA, Conti LA, Grohmann CH. A comparison between supervised classification methods: study case on land cover change detection caused by a hydroelectric complex installation in the Brazilian Amazon [Internet]. Sustainability. 2023 ; 15( Ja 2023): 01-28.[citado 2024 jun. 30 ] Available from: https://doi.org/10.3390/su15021309
  • Fonte: 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: 30 jun. 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
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      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 jun. 30 ] 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 jun. 30 ] Available from: https://austriaca.at/0xc1aa5576_0x003e555a.pdf
  • Fonte: MethodsX. Unidades: IEE, IGC

    Assuntos: 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: 30 jun. 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 jun. 30 ] Available from: https://doi.org/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 jun. 30 ] Available from: https://doi.org/10.1016/j.mex.2022.101982
  • Fonte: 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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8672766/32038
  • Fonte: Remote Sensing. Unidade: IEE

    Assunto: SENSORIAMENTO REMOTO

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    • ABNT

      DIAS, Helen Cristina e HOLBLING, Daniel e GROHMANN, Carlos Henrique. Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil. Remote Sensing, v. 15, n. 21, p. art.5137/1-16, 2023Tradução . . Disponível em: https://doi.org/10.3390/rs15215137. Acesso em: 30 jun. 2024.
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      Dias, H. C., Holbling, D., & Grohmann, C. H. (2023). Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil. Remote Sensing, 15(21), art.5137/1-16. Recuperado de https://doi.org/10.3390/rs15215137
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      Dias HC, Holbling D, Grohmann CH. Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil [Internet]. Remote Sensing. 2023 ; 15(21):art.5137/1-16.[citado 2024 jun. 30 ] Available from: https://doi.org/10.3390/rs15215137
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      Dias HC, Holbling D, Grohmann CH. Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil [Internet]. Remote Sensing. 2023 ; 15(21):art.5137/1-16.[citado 2024 jun. 30 ] Available from: https://doi.org/10.3390/rs15215137
  • Fonte: International Journal of Remote Sensing. Unidades: IEE, IGC, IME

    Assuntos: 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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
  • Fonte: Remote Sensing. Unidades: IGC, IEE

    Assuntos: 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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.3390/rs15123028
  • Fonte: Brazilian Journal of Geology. Unidade: IEE

    Assunto: SENSORIAMENTO REMOTO

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      HARTWIG, Marcos Eduardo e BOTTACIN, Cícero Dias e GROHMANN, Carlos Henrique. Motion maps derived from optical satellite images: the case study of the East Anatolian Fault (Türkiye). Brazilian Journal of Geology, v. 53, n. 3, p. e20230042/1-5, 2023Tradução . . Disponível em: https://doi.org/10.1590/2317-4889202320230042. Acesso em: 30 jun. 2024.
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      Hartwig, M. E., Bottacin, C. D., & Grohmann, C. H. (2023). Motion maps derived from optical satellite images: the case study of the East Anatolian Fault (Türkiye). Brazilian Journal of Geology, 53( 3), e20230042/1-5. Recuperado de https://doi.org/10.1590/2317-4889202320230042
    • NLM

      Hartwig ME, Bottacin CD, Grohmann CH. Motion maps derived from optical satellite images: the case study of the East Anatolian Fault (Türkiye) [Internet]. Brazilian Journal of Geology. 2023 ;53( 3): e20230042/1-5.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1590/2317-4889202320230042
    • Vancouver

      Hartwig ME, Bottacin CD, Grohmann CH. Motion maps derived from optical satellite images: the case study of the East Anatolian Fault (Türkiye) [Internet]. Brazilian Journal of Geology. 2023 ;53( 3): e20230042/1-5.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1590/2317-4889202320230042
  • Fonte: 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: 30 jun. 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
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      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 jun. 30 ] 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 jun. 30 ] Available from: https://www.mdpi.com/2673-964X/3/3/10
  • Fonte: Open Geosciences. Unidade: IEE

    Assunto: MONITORAMENTO AMBIENTAL

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      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: 30 jun. 2024.
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      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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.1515/geo-2022-0406
  • Fonte: Landslides. Unidades: IEE, IGC

    Assunto: DESLIZAMENTO DE TERRA

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      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: 30 jun. 2024.
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      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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.1007/s10346-022-01861-3
  • Fonte: Boletim de Ciências Geodésicas. Unidades: IEE, IGC

    Assuntos: DESLIZAMENTO DE TERRA, FOTOGRAMETRIA

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      GARCIA, Guilherme Pereira Bento et al. Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison. Boletim de Ciências Geodésicas, v. 8, n. 3, p. e2022016, 2022Tradução . . Disponível em: https://doi.org/10.1590/s1982-21702022000300016. Acesso em: 30 jun. 2024.
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      Garcia, G. P. B., Grohmann, C. H., Viana, C. D., & Gomes, E. B. (2022). Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison. Boletim de Ciências Geodésicas, 8( 3), e2022016. doi:10.1590/s1982-21702022000300016
    • NLM

      Garcia GPB, Grohmann CH, Viana CD, Gomes EB. Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison [Internet]. Boletim de Ciências Geodésicas. 2022 ; 8( 3): e2022016.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1590/s1982-21702022000300016
    • Vancouver

      Garcia GPB, Grohmann CH, Viana CD, Gomes EB. Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison [Internet]. Boletim de Ciências Geodésicas. 2022 ; 8( 3): e2022016.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1590/s1982-21702022000300016
  • Fonte: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidades: IEE, IGC

    Assuntos: DESLIZAMENTO DE TERRA, GEOPROCESSAMENTO

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      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: 30 jun. 2024.
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      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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
  • Fonte: Remote Sensing. Unidades: IEE, IGC

    Assunto: DESLIZAMENTO DE TERRA

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    • 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: 30 jun. 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 jun. 30 ] 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 jun. 30 ] Available from: https://doi.org/10.3390/rs14092237
  • Fonte: Nature Communications. Unidades: IGC, IEE, EACH

    Assuntos: CHUVA, NÍVEL DO MAR, INUNDAÇÕES, DEPOSIÇÃO DE SEDIMENTOS

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      SAWAKUCHI, André Oliveira et al. Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia. Nature Communications, n. , p. 4945-, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41467-022-32561-0. Acesso em: 30 jun. 2024.
    • APA

      Sawakuchi, A. O., Schultz, E. D., Pupim, F. do N., Bertassoli Junior, D. J., Souza, D. F., Cunha, D. F., et al. (2022). Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia. Nature Communications, ( ), 4945-. doi:10.1038/s41467-022-32561-0
    • NLM

      Sawakuchi AO, Schultz ED, Pupim F do N, Bertassoli Junior DJ, Souza DF, Cunha DF, Mazoca CEM, Ferreira MP, Grohmann CH, Wahnfried I, Chiessi CM, Cruz FW, Almeida RP de, Ribas CC. Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia [Internet]. Nature Communications. 2022 ;( ): 4945-.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1038/s41467-022-32561-0
    • Vancouver

      Sawakuchi AO, Schultz ED, Pupim F do N, Bertassoli Junior DJ, Souza DF, Cunha DF, Mazoca CEM, Ferreira MP, Grohmann CH, Wahnfried I, Chiessi CM, Cruz FW, Almeida RP de, Ribas CC. Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia [Internet]. Nature Communications. 2022 ;( ): 4945-.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1038/s41467-022-32561-0
  • Fonte: Remote Sensing. Unidades: ESALQ, IEE, IGC

    Assuntos: AEROFOTOGRAMETRIA, AERONAVES NÃO TRIPULADAS, APRENDIZADO COMPUTACIONAL, ÁRVORES FLORESTAIS, DOSSEL (BOTÂNICA), ECOLOGIA DA RESTAURAÇÃO, HETEROGENEIDADE

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    • ABNT

      ALBUQUERQUE, Rafael Walter et al. Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence. Remote Sensing, v. 14, p. 1-28, 2022Tradução . . Disponível em: https://doi.org/10.3390/rs14040830. Acesso em: 30 jun. 2024.
    • APA

      Albuquerque, R. W., Vieira, D. L. M., Ferreira, M. E., Soares, L. P., Olsen, S. I., Araujo, L. S., et al. (2022). Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence. Remote Sensing, 14, 1-28. doi:10.3390/rs14040830
    • NLM

      Albuquerque RW, Vieira DLM, Ferreira ME, Soares LP, Olsen SI, Araujo LS, Vicente LE, Tymus JRC, Balieiro CP, Matsumoto MH, Grohmann CH. Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence [Internet]. Remote Sensing. 2022 ; 14 1-28.[citado 2024 jun. 30 ] Available from: https://doi.org/10.3390/rs14040830
    • Vancouver

      Albuquerque RW, Vieira DLM, Ferreira ME, Soares LP, Olsen SI, Araujo LS, Vicente LE, Tymus JRC, Balieiro CP, Matsumoto MH, Grohmann CH. Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence [Internet]. Remote Sensing. 2022 ; 14 1-28.[citado 2024 jun. 30 ] Available from: https://doi.org/10.3390/rs14040830
  • Fonte: Journal of Biogeography. Unidades: IB, IEE

    Assuntos: BIODIVERSIDADE, FLORESTAS, FILOGENIA, BOTÂNICA (CLASSIFICAÇÃO), ZOOLOGIA (CLASSIFICAÇÃO), MATA ATLÂNTICA

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    • ABNT

      PAZ, Andrea et al. Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest. Journal of Biogeography, 2021Tradução . . Disponível em: https://doi.org/10.1111/jbi.14083. Acesso em: 30 jun. 2024.
    • APA

      Paz, A., Brown, J. L., Cordeiro, C. L. O., Aguirre-Santoro, J., Assis, C., Amaro, R. C., et al. (2021). Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest. Journal of Biogeography. doi:10.1111/jbi.14083
    • NLM

      Paz A, Brown JL, Cordeiro CLO, Aguirre-Santoro J, Assis C, Amaro RC, Amaral FR do, Bochorny T, Bacci LF, Caddah MK, d’Horta F, Kaehler M, Lyra M, Grohmann CH, Reginato M, Silva-Brandão KL, Freitas AVL, Goldenberg R, Lohmann LG, Michelangeli FA, Miyaki CY, Rodrigues MT, Silva TS, Carnaval AC. Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest [Internet]. Journal of Biogeography. 2021 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1111/jbi.14083
    • Vancouver

      Paz A, Brown JL, Cordeiro CLO, Aguirre-Santoro J, Assis C, Amaro RC, Amaral FR do, Bochorny T, Bacci LF, Caddah MK, d’Horta F, Kaehler M, Lyra M, Grohmann CH, Reginato M, Silva-Brandão KL, Freitas AVL, Goldenberg R, Lohmann LG, Michelangeli FA, Miyaki CY, Rodrigues MT, Silva TS, Carnaval AC. Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest [Internet]. Journal of Biogeography. 2021 ;[citado 2024 jun. 30 ] Available from: https://doi.org/10.1111/jbi.14083

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