ReP USP - Resultado da busca

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
Fonte: Proceedings. Geomorphometry 2023. Nome do evento: 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 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: 12 maio 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 maio 12 ] 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 maio 12 ] Available from: https://doi.org/10.5281/zenodo.7779223
Artigo de periodico
Remotely piloted aircraft‐based automated vertical surface survey (2023)
Grohmann, Carlos Henrique ; Viana, Camila Duelis ; Garcia, Guilherme Pereira Bento ; Albuquerque, Rafael W.
Fonte: MethodsX. Unidades: IEE, IGC
Assuntos: AERONAVES NÃO TRIPULADAS, MINERAÇÃO, GEOLOGIA ESTRUTURAL, PEDREIRAS, TALUDES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 12 maio 2024.
APA
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
NLM
Grohmann CH, Viana CD, Garcia GPB, Albuquerque RW. Remotely piloted aircraft‐based automated vertical surface survey [Internet]. MethodsX. 2023 ; 10( ): 101982-.[citado 2024 maio 12 ] 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 maio 12 ] Available from: https://doi.org/10.1016/j.mex.2022.101982
Artigo de periodico
Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework (2023)
Garcia, Guilherme Pereira Bento ; Soares, Lucas ; Espadoto, Mateus ; Grohmann, Carlos Henrique
Fonte: International Journal of Remote Sensing. Unidades: IEE, IGC, IME
Assuntos: DESLIZAMENTO DE TERRA, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Guilherme Pereira Bento et al. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, n. , p. 2168-2195, 2023Tradução . . Disponível em: https://doi.org/10.1080/01431161.2023.2197130. Acesso em: 12 maio 2024.
APA
Garcia, G. P. B., Soares, L., Espadoto, M., & Grohmann, C. H. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, ( ), 2168-2195. doi:10.1080/01431161.2023.2197130
NLM
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 maio 12 ] 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 maio 12 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
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
Fonte: Remote Sensing. Unidades: IGC, IEE
Assuntos: 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: 12 maio 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 maio 12 ] 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 maio 12 ] Available from: https://doi.org/10.3390/rs15123028
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
Fonte: 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: 12 maio 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 maio 12 ] 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 maio 12 ] Available from: https://doi.org/10.3390/rs14092237
Artigo de periodico
Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison (2022)
Garcia, Guilherme Pereira Bento ; Grohmann, Carlos Henrique ; Viana, Camila Duelis ; Gomes, Elton Barbosa
Fonte: Boletim de Ciências Geodésicas. Unidades: IEE, IGC
Assuntos: DESLIZAMENTO DE TERRA, FOTOGRAMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 12 maio 2024.
APA
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 maio 12 ] 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 maio 12 ] Available from: https://doi.org/10.1590/s1982-21702022000300016
Trabalho de evento
Comparing terrestrial laser scanner and UAV-based photogrammetry to generate a landslide DEM (2019)
Garcia, Guilherme Pereira Bento ; Gomes, Elton Barbosa ; Viana, Camila Duelis ; Grohmann, Carlos Henrique
Fonte: Anais. Nome do evento: Simpósio Brasileiro de Sensoriamento Remoto - SBSR. Unidades: IEE, IGC
Assuntos: FOTOGRAMETRIA, DESLIZAMENTO DE TERRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Guilherme Pereira Bento et al. Comparing terrestrial laser scanner and UAV-based photogrammetry to generate a landslide DEM. 2019, Anais.. São José dos Campos: INPE, 2019. Disponível em: https://proceedings.science/sbsr-2019/papers/comparing-terrestrial-laser-scanner-and-uav-based-photogrammetry-to-generate-a-landslide-dem?lang=pt-br. Acesso em: 12 maio 2024.
APA
Garcia, G. P. B., Gomes, E. B., Viana, C. D., & Grohmann, C. H. (2019). Comparing terrestrial laser scanner and UAV-based photogrammetry to generate a landslide DEM. In Anais (Vol. 19). São José dos Campos: INPE. Recuperado de https://proceedings.science/sbsr-2019/papers/comparing-terrestrial-laser-scanner-and-uav-based-photogrammetry-to-generate-a-landslide-dem?lang=pt-br
NLM
Garcia GPB, Gomes EB, Viana CD, Grohmann CH. Comparing terrestrial laser scanner and UAV-based photogrammetry to generate a landslide DEM [Internet]. Anais. 2019 ; 19[citado 2024 maio 12 ] Available from: https://proceedings.science/sbsr-2019/papers/comparing-terrestrial-laser-scanner-and-uav-based-photogrammetry-to-generate-a-landslide-dem?lang=pt-br
Vancouver
Garcia GPB, Gomes EB, Viana CD, Grohmann CH. Comparing terrestrial laser scanner and UAV-based photogrammetry to generate a landslide DEM [Internet]. Anais. 2019 ; 19[citado 2024 maio 12 ] Available from: https://proceedings.science/sbsr-2019/papers/comparing-terrestrial-laser-scanner-and-uav-based-photogrammetry-to-generate-a-landslide-dem?lang=pt-br
Trabalho de evento
Semi-automatic UAV-based SfM survey of vertical surfaces (2019)
Grohmann, Carlos Henrique ; Viana, Camila Duelis ; Garcia, Guilherme Pereira Bento ; Albuquerque, Rafael Walter ; Barale, Francesco; Ferretti, Fernanda Aparecida
Nome do evento: Simpósio Brasileiro de Sensoriamento Remoto - SBSR. Unidades: IEE, IGC
Assuntos: FOTOGRAMETRIA, GEOLOGIA ESTRUTURAL, PEDREIRAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GROHMANN, Carlos Henrique et al. Semi-automatic UAV-based SfM survey of vertical surfaces. 2019, Anais.. São José dos Campos: INPE, 2019. Disponível em: https://proceedings.science/sbsr-2019/papers/semi-automatic-uav-based-sfm-survey-of-vertical-surfaces?lang=pt-br. Acesso em: 12 maio 2024.
APA
Grohmann, C. H., Viana, C. D., Garcia, G. P. B., Albuquerque, R. W., Barale, F., & Ferretti, F. A. (2019). Semi-automatic UAV-based SfM survey of vertical surfaces. In (Vol. 19). São José dos Campos: INPE. Recuperado de https://proceedings.science/sbsr-2019/papers/semi-automatic-uav-based-sfm-survey-of-vertical-surfaces?lang=pt-br
NLM
Grohmann CH, Viana CD, Garcia GPB, Albuquerque RW, Barale F, Ferretti FA. Semi-automatic UAV-based SfM survey of vertical surfaces [Internet]. 2019 ; 19[citado 2024 maio 12 ] Available from: https://proceedings.science/sbsr-2019/papers/semi-automatic-uav-based-sfm-survey-of-vertical-surfaces?lang=pt-br
Vancouver
Grohmann CH, Viana CD, Garcia GPB, Albuquerque RW, Barale F, Ferretti FA. Semi-automatic UAV-based SfM survey of vertical surfaces [Internet]. 2019 ; 19[citado 2024 maio 12 ] Available from: https://proceedings.science/sbsr-2019/papers/semi-automatic-uav-based-sfm-survey-of-vertical-surfaces?lang=pt-br
Artigo de periodico
Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil (2018)
Viana, Camila Duelis ; Grohmann, Carlos Henrique ; Busarello, Mariana dos Santos Toledo; Garcia, Guilherme Pereira Bento
Fonte: Brazilian Journal of Geology. Unidades: IGC, IEE
Assuntos: GEOLOGIA ESTRUTURAL, FOTOGRAMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Camila Duelis et al. Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil. Brazilian Journal of Geology, v. 48, n. 4, p. 839-852, 2018Tradução . . Disponível em: https://doi.org/10.1590/2317-4889201800201898. Acesso em: 12 maio 2024.
APA
Viana, C. D., Grohmann, C. H., Busarello, M. dos S. T., & Garcia, G. P. B. (2018). Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil. Brazilian Journal of Geology, 48( 4), 839-852. doi:10.1590/2317-4889201800201898
NLM
Viana CD, Grohmann CH, Busarello M dos ST, Garcia GPB. Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil [Internet]. Brazilian Journal of Geology. 2018 ; 48( 4): 839-852.[citado 2024 maio 12 ] Available from: https://doi.org/10.1590/2317-4889201800201898
Vancouver
Viana CD, Grohmann CH, Busarello M dos ST, Garcia GPB. Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil [Internet]. Brazilian Journal of Geology. 2018 ; 48( 4): 839-852.[citado 2024 maio 12 ] Available from: https://doi.org/10.1590/2317-4889201800201898

Unidades USP

ReP

Filtros

Autores

Autores USP

Assuntos

Título da fonte

Editora