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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: 02 set. 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 set. 02 ]
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 set. 02 ]
Artigo de periodico
Novel Approach for Ranking DEMs: copernicus DEM Improves One Arc Second Open Global Topography (2024)
Bielski, Conrad ; López-Vázquez, Carlos ; Grohmann, Carlos Henrique ; Guth, Peter L. ; Hawker, Laurence ; Gesch, Dean ; Trevisani, Sebastiano
Source: 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: 02 set. 2024.
APA
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
NLM
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 set. 02 ] Available from: https://doi.org/10.1109/TGRS.2024.3368015
Vancouver
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 set. 02 ] Available from: https://doi.org/10.1109/TGRS.2024.3368015
Artigo de periodico
Humid and cold forest connections in South America between the eastern Andes and the southern Atlantic coast during the LGM (2024)
Pinaya, Jorge Luiz Diaz ; Pitman, Nigel C. A.; Cruz, Francisco W ; Akabane, Thomas Kenji ; Sanz Lopez, Maria del Carmen; Pereira Filho, Augusto José ; Grohmann, Carlos Henrique ; Reis, Luiza Santos; Rodrigues, Erika S. Ferreira; Ceccantini, Gregorio ; Oliveira, Paulo Eduardo de
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: 02 set. 2024.
APA
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
NLM
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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1038/s41598-024-51763-8
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
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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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://austriaca.at/0xc1aa5576_0x003e555a.pdf
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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://periodicos.ufpe.br/revistas/rbgfe/article/view/256662
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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://periodicos.sbu.unicamp.br/ojs/index.php/td/article/view/8672766/32038
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.
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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1016/j.mex.2022.101982
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
Source: 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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.3390/rs15215137
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
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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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.3390/rs15123028
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
Source: International Journal of Remote Sensing. Unidades: IEE, IGC, IME
Subjects: 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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Artigo de periodico
Motion maps derived from optical satellite images: the case study of the East Anatolian Fault (Türkiye) (2023)
Hartwig, Marcos Eduardo ; Bottacin, Cícero Dias ; Grohmann, Carlos Henrique
Source: Brazilian Journal of Geology. Unidade: IEE
Assunto: SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 02 set. 2024.
APA
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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1590/2317-4889202320230042
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
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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: 02 set. 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 set. 02 ] 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 set. 02 ] 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: 02 set. 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 set. 02 ] 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 set. 02 ] 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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1007/s10346-022-01861-3
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
Source: Boletim de Ciências Geodésicas. Unidades: IEE, IGC
Subjects: 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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1590/s1982-21702022000300016
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: 02 set. 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 set. 02 ] 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 set. 02 ] 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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
Artigo de periodico
Rainfall and sea level drove the expansion of seasonally flooded habitats and associated bird populations across Amazonia (2022)
Sawakuchi, André Oliveira ; Schultz, E. D.; Pupim, Fabiano do Nascimento ; Bertassoli Junior, Dailson José ; Souza, D. F.; Cunha, D. F.; Mazoca, Carlos Eduardo Manjon ; Ferreira, M. P.; Grohmann, Carlos Henrique ; Wahnfried, Ingo ; Chiessi, Cristiano Mazur ; Cruz, Francisco W ; Almeida, Renato Paes de ; Ribas, C. C.
Source: Nature Communications. Unidades: IGC, IEE, EACH
Subjects: CHUVA, NÍVEL DO MAR, INUNDAÇÕES, DEPOSIÇÃO DE SEDIMENTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1038/s41467-022-32561-0
Artigo de periodico
Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest (2021)
Paz, Andrea ; Brown, Jason L ; Cordeiro, Carlos L. O; Aguirre-Santoro, Julian; Assis, Claydson; Amaro, Renata Cecilia; Amaral, Fabio Raposo do ; Bochorny, Thuane; Bacci, Lucas F ; Caddah, Mayara K; d’Horta, Fernando; Kaehler, Miriam; Lyra, Mariana ; Grohmann, Carlos Henrique ; Reginato, Marcelo ; Silva-Brandão, Karina Lucas ; Freitas, André Victor Lucci; Goldenberg, Renato ; Lohmann, Lucia G ; Michelangeli, Fabián A ; Miyaki, Cristina Yumi ; Rodrigues, Miguel Trefaut ; Silva, Thiago S; Carnaval, Ana Carolina
Source: Journal of Biogeography. Unidades: IB, IEE
Subjects: BIODIVERSIDADE, FLORESTAS, FILOGENIA, BOTÂNICA (CLASSIFICAÇÃO), ZOOLOGIA (CLASSIFICAÇÃO), MATA ATLÂNTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://doi.org/10.1111/jbi.14083
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: 02 set. 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 set. 02 ] 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 set. 02 ] Available from: https://www.mdpi.com/1263464

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