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Artigo de periodico
Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping (2024)
Dias, Helen Cristina ; Grohmann, Carlos Henrique
Source: Journal of South American Earth Sciences. Unidade: IEE
Assunto: DESLIZAMENTO DE TERRA
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ABNT
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.
APA
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.
NLM
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 ]
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
Source: 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: 18 abr. 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 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
Trabalho de evento
RPA flight pattern and GCP influence on SfMMVS modeling of a stable landslide in SE Brazil (2023)
Grohmann, Carlos Henrique ; Garcia, Guilherme Pereira Bento ; Viana, Camila Duelis ; Dias, Helen Cristina ; Coelho, Rebeca Durço
Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE
Assunto: GEOMORFOMETRIA
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ABNT
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.
APA
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
Trabalho de evento
Subjective criterion for the DEMIX wine contest: hillshade maps (2023)
Guth, Peter L ; Grohmann, Carlos Henrique ; Trevisani, Sebastiano
Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE
Assunto: GEOMORFOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Trabalho de evento
Geomorphometry 2023. Proceedings (2023)
Niculita, Mihai (Editor) ; Guth, Peter L. (Editor) ; Reuter, Hannes Isaak (Editor) ; Lecours, Vincent (Editor) ; Grohmann, Carlos Henrique (Editor) ; Arundel, Samantha (Editor) ; Qin, Cheng-Zhi (Editor)
Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry, Geomorphometry. Unidade: IEE
Assunto: GEOMORFOMETRIA
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ABNT
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.
APA
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
NLM
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
Trabalho de evento
Geomorphometric and geospatial patterns in differences between ALOS and COPDEM (2023)
Guth, Peter L ; Grohmann, Carlos Henrique ; Trevisan, Sebastiano
Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry, Geomorphometry (7. 2023).Proceedings. Geomorphometry 2023, p.8-10. Unidade: IEE
Assunto: GEOMORFOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Artigo de periodico
Distribuição da Biomassa vegetal e sequestro de carbono na sub-bacia do RioPirajibu no município de Sorocaba/SP (2023)
Silva, Jaciely Gabriela Melo da; Quintanilha, José Alberto ; Grohmann, Carlos Henrique ; Costa, Danilo Ribeiro da; Costa, José Douglas Monteiro da; Silva, José Mauro Santana da
Source: Revista Brasileira de Geografia Física. Unidade: IEE
Assunto: BIOMASSA
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ABNT
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.
APA
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
NLM
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
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
Source: Abstract EGU23. Conference titles: 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: 18 abr. 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 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
Trabalho de evento-resumo
Distinction between watersheds prone to debris flow, debris flood, and flood using morphometry in Serra do Mar, Brazil (São Paulo State North shore) (2023)
Dias, Vivian Cristina ; Dias, Helen Cristina ; Grohmann, Carlos Henrique
Source: Abstract EGU23. Conference titles: 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, 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.
APA
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
NLM
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
Trabalho de evento
The DEMIX Wine Contest Jupyter notebook (2023)
Grohmann, Carlos Henrique
Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE
Assunto: GEOMORFOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
Grohmann, C. H. (2023). The DEMIX Wine Contest Jupyter notebook. In Proceedings. Geomorphometry 2023. International Society for Geomorphometry. doi:10.5281/zenodo.7779255
NLM
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
Artigo de periodico
Diretrizes para o mapeamento geológico em disciplinas de graduação (2023)
Hartwig, Marcos Eduardo Hartwig ; Tonete, Renan ; Simplicio, Fabio; Ribeiro, José Carlos ; Moreira, Cesar Augusto ; Grohmann, Carlos Henrique
Source: Terrae Didatica. Unidades: IEE, EESC
Assunto: MAPA GEOLÓGICO
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ABNT
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.
APA
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
NLM
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
Trabalho de evento
Going Forward: extending and exploiting the DEMIX database with MICRODEM (2023)
Guth, Peter L ; Grohmann, Carlos Henrique ; Trevisani, Sebastiano ; Bielski, Conrad
Source: Proceedings. Geomorphometry 2023. Conference titles: International Conference on Geomorphometry. Unidade: IEE
Assunto: GEOMORFOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Artigo de periodico
Monitoring geological risk areas in the city of São Paulo based on multi-temporal high-resolution 3D models (2023)
Sousa, Amanda Mendes de ; Viana, Camila Duelis ; Garcia, Guilherme Pereira Bento ; Grohmann, Carlos Henrique
Source: Remote Sensing. Unidades: IGC, IEE
Subjects: GEOLOGIA AMBIENTAL, MONITORAMENTO AMBIENTAL, DESLIZAMENTO DE TERRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
NLM
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
Artigo de periodico
Coastal Dynamics Analysis Based on Orbital Remote Sensing Big Data and Multivariate Statistical Models (2023)
Ferreira, Anderson Targino da Silva ; Oliveira, Regina Célia de; Ribeiro, Maria Carolina Hernandez; Grohmann, Carlos Henrique ; Siegle, Eduardo
Source: Coasts. Unidades: IEE, IO, EACH
Assunto: EROSÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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
Artigo de periodico
A protocol for canopy cover monitoring on forest restoration projects using low-cost drones (2022)
Albuquerque, Rafael Walter ; Matsumoto, Marcelo Hiromiti ; Calmon, Miguel; Ferreira, Manuel Eduardo ; Vieira, Daniel Luis Mascia; Grohmann, Carlos Henrique
Source: Open Geosciences. Unidade: IEE
Assunto: MONITORAMENTO AMBIENTAL
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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
Artigo de periodico
Landslide detection in the Himalayas using machine learning algorithms and U-Net (2022)
Meena, Sansar Raj ; Soares, Lucas Pedrosa ; Grohmann, Carlos Henrique ; Van Westen, Cees ; Bhuyan, Kushanav ; Singh, Ramesh P.; Floris, Mario; Catani, Filippo
Source: Landslides. Unidades: IEE, IGC
Assunto: DESLIZAMENTO DE TERRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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
Artigo de periodico
Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil (2022)
Soares, Lucas Pedrosa ; Dias, Helen Cristina ; Garcia, Guilherme Pereira Bento ; Grohmann, Carlos Henrique
Source: Remote Sensing. Unidades: IEE, IGC
Assunto: DESLIZAMENTO DE TERRA
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
Artigo de periodico
Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil (2022)
Xu, Guosen ; Wang, Yi ; Wang, Lizhe ; Soares, Lucas Pedrosa ; Grohmann, Carlos Henrique
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidades: IEE, IGC
Subjects: DESLIZAMENTO DE TERRA, GEOPROCESSAMENTO
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: 18 abr. 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 abr. 18 ] 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 abr. 18 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
Artigo de periodico
Digital Elevation Models: terminology and definitions (2021)
Guth, Peter L ; Van Niekerk, Adriaan ; Grohmann, Carlos Henrique ; Muller, Jan-Peter ; Hawker, Laurence ; Florinsky, Igor ; Gesch, Dean B. ; Reuter, Hannes Isaak ; Herrera-Cruz, Virginia ; Riazanoff, Serge ; López-Vázquez, Carlos ; Carabajal, Claudia ; Albinet, Clement ; Strobl, Peter A
Source: Remote Sensing. Unidade: IEE
Assunto: GEOMORFOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUTH, Peter L et al. Digital Elevation Models: terminology and definitions. Remote Sensing, v. 13, n. 18, p. se 2021, 2021Tradução . . Disponível em: https://www.mdpi.com/1263464. Acesso em: 18 abr. 2024.
APA
Guth, P. L., Van Niekerk, A., Grohmann, C. H., Muller, J. -P., Hawker, L., Florinsky, I., et al. (2021). Digital Elevation Models: terminology and definitions. Remote Sensing, 13( 18), se 2021. Recuperado de https://www.mdpi.com/1263464
NLM
Guth PL, Van Niekerk A, Grohmann CH, Muller J-P, Hawker L, Florinsky I, Gesch DB, Reuter HI, Herrera-Cruz V, Riazanoff S, López-Vázquez C, Carabajal C, Albinet C, Strobl PA. Digital Elevation Models: terminology and definitions [Internet]. Remote Sensing. 2021 ;13( 18): se 2021.[citado 2024 abr. 18 ] Available from: https://www.mdpi.com/1263464
Vancouver
Guth PL, Van Niekerk A, Grohmann CH, Muller J-P, Hawker L, Florinsky I, Gesch DB, Reuter HI, Herrera-Cruz V, Riazanoff S, López-Vázquez C, Carabajal C, Albinet C, Strobl PA. Digital Elevation Models: terminology and definitions [Internet]. Remote Sensing. 2021 ;13( 18): se 2021.[citado 2024 abr. 18 ] Available from: https://www.mdpi.com/1263464
Artigo de periodico
Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil (2021)
Dias, Helen Cristina ; Sandre, Lucas Henrique ; Satizábal Alarcón, Diego Alejandro ; Grohmann, Carlos Henrique ; Quintanilha, José Alberto
Source: Brazilian Journal of Geology. Unidades: IEE, IGC
Assunto: MUDANÇA CLIMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Helen Cristina et al. Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil. Brazilian Journal of Geology, v. 51, n. 4. p. e20200105/1-10, 2021Tradução . . Disponível em: https://www.scielo.br/j/bjgeo/a/Y6s5whm57BV9cgrMDWcJvgp/?format=pdf&lang=en. Acesso em: 18 abr. 2024.
APA
Dias, H. C., Sandre, L. H., Satizábal Alarcón, D. A., Grohmann, C. H., & Quintanilha, J. A. (2021). Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil. Brazilian Journal of Geology, 51( 4. p. e20200105/1-10). Recuperado de https://www.scielo.br/j/bjgeo/a/Y6s5whm57BV9cgrMDWcJvgp/?format=pdf&lang=en
NLM
Dias HC, Sandre LH, Satizábal Alarcón DA, Grohmann CH, Quintanilha JA. Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil [Internet]. Brazilian Journal of Geology. 2021 ; 51( 4. p. e20200105/1-10):[citado 2024 abr. 18 ] Available from: https://www.scielo.br/j/bjgeo/a/Y6s5whm57BV9cgrMDWcJvgp/?format=pdf&lang=en
Vancouver
Dias HC, Sandre LH, Satizábal Alarcón DA, Grohmann CH, Quintanilha JA. Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil [Internet]. Brazilian Journal of Geology. 2021 ; 51( 4. p. e20200105/1-10):[citado 2024 abr. 18 ] Available from: https://www.scielo.br/j/bjgeo/a/Y6s5whm57BV9cgrMDWcJvgp/?format=pdf&lang=en

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