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Artigo de periodico
Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows (2023)
Dias, Helen Cristina ; Holbling, Daniel ; Dias, Vivian Cristina ; Grohmann, Carlos Henrique
Fonte: GI_Forum. Unidade: IEE
Assunto: DESLIZAMENTO DE TERRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 12 nov. 2024.
APA
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 nov. 12 ] 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 nov. 12 ] Available from: https://austriaca.at/0xc1aa5576_0x003e555a.pdf
Trabalho de evento-resumo
An object-based approach for semi-automated shallow landslide mapping: suitability and comparison in Itaóca (SP) and Nova Friburgo (RJ), southeastern Brazil (2023)
Dias, Helen Cristina ; Holbling,Daniel ; Grohmann, Carlos Henrique
Fonte: Abstract EGU23. Nome do evento: EGU General Assembly 2023. Unidade: IEE
Assunto: GEOMORFOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 12 nov. 2024.
APA
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 nov. 12 ] 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 nov. 12 ] Available from: https://doi.org/10.5194/egusphere-egu23-158
Artigo de periodico
Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil (2023)
Dias, Helen Cristina ; Holbling,Daniel ; Grohmann, Carlos Henrique
Fonte: Remote Sensing. Unidade: IEE
Assunto: SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 12 nov. 2024.
APA
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
NLM
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 nov. 12 ] Available from: https://doi.org/10.3390/rs15215137
Vancouver
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 nov. 12 ] Available from: https://doi.org/10.3390/rs15215137
Parte de monografia/livro
Geovisualization (2021)
Smith, Mike J.; Otto, Jan-Christoph; Moore, Antoni B.; Grohmann, Carlos Henrique ; Hillier, John; Geilhausen, Martin
Fonte: Reference Module in Earth Systems and Environmental Sciences. Unidade: IEE
Assunto: CARTOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SMITH, Mike J. et al. Geovisualization. Reference Module in Earth Systems and Environmental Sciences. Tradução . London: Elsevier, 2021. . Disponível em: https://doi.org/10.1016/B978-0-12-818234-5.00147-4. Acesso em: 12 nov. 2024.
APA
Smith, M. J., Otto, J. -C., Moore, A. B., Grohmann, C. H., Hillier, J., & Geilhausen, M. (2021). Geovisualization. In Reference Module in Earth Systems and Environmental Sciences. London: Elsevier. doi:10.1016/B978-0-12-818234-5.00147-4
NLM
Smith MJ, Otto J-C, Moore AB, Grohmann CH, Hillier J, Geilhausen M. Geovisualization [Internet]. In: Reference Module in Earth Systems and Environmental Sciences. London: Elsevier; 2021. [citado 2024 nov. 12 ] Available from: https://doi.org/10.1016/B978-0-12-818234-5.00147-4
Vancouver
Smith MJ, Otto J-C, Moore AB, Grohmann CH, Hillier J, Geilhausen M. Geovisualization [Internet]. In: Reference Module in Earth Systems and Environmental Sciences. London: Elsevier; 2021. [citado 2024 nov. 12 ] Available from: https://doi.org/10.1016/B978-0-12-818234-5.00147-4
Artigo de periodico
Landslide Susceptibility Mapping in Brazil: a review (2021)
Dias, Helen Cristina ; Holbling,Daniel ; Grohmann, Carlos Henrique
Fonte: Geosciences. Unidade: IEE
Assunto: DESLIZAMENTO DE TERRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Helen Cristina e HOLBLING, Daniel e GROHMANN, Carlos Henrique. Landslide Susceptibility Mapping in Brazil: a review. Geosciences, v. 11, n. 10, p. art.425/1-15, 2021Tradução . . Disponível em: https://doi.org/10.3390/geosciences11100425. Acesso em: 12 nov. 2024.
APA
Dias, H. C., Holbling, D., & Grohmann, C. H. (2021). Landslide Susceptibility Mapping in Brazil: a review. Geosciences, 11( 10), art.425/1-15. doi:10.3390/geosciences11100425
NLM
Dias HC, Holbling D, Grohmann CH. Landslide Susceptibility Mapping in Brazil: a review [Internet]. Geosciences. 2021 ; 11( 10): art.425/1-15.[citado 2024 nov. 12 ] Available from: https://doi.org/10.3390/geosciences11100425
Vancouver
Dias HC, Holbling D, Grohmann CH. Landslide Susceptibility Mapping in Brazil: a review [Internet]. Geosciences. 2021 ; 11( 10): art.425/1-15.[citado 2024 nov. 12 ] Available from: https://doi.org/10.3390/geosciences11100425

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