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Filtros : "Áustria" "Remote Sensing" Removidos: "IFSC011" "Mascarenhas, Yvonne Primerano" "Na, M" Limpar

Filtros

Collaboration
Normalized affiliation
Non normalized affiliation
- center for earth system science, national institute for space research, são josé dos campos, sp (1)
- center for meteorological and climatic research applied to agriculture, university of campinas, campinas, sp (1)
- coordenação de biodiversidade, instituto nacional de pesquisas da amazônia, manaus, am (1)
- coordenação de dinâmica ambiental, instituto nacional de pesquisas da amazônia, manaus, am (1)
- department of environmental sciences, wageningen university, wageningen (1)

Countries of institutions of collaboration
- áustria (2)
- alemanha (1)
- brasil (1)
- estados unidos (1)
- grã-bretanha (reino unido, uk) (1)

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
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.3390/rs15215137
Artigo de periodico
Performance of laser-based electronic devices for structural analysis of amazonian terra-firme forests (2019)
Pereira, Iokanam Sales; Nascimento, Henrique E. Mendonça do; Vicari, Matheus Boni; Disney, Mathias; DeLucia, Evan H.; Domingues, Tomas Ferreira ; Kruijt, Bart; Lapola, David; Meir, Patrick; Norby, Richard J.; Ometto, Jean P. H. B.; Quesada, Carlos A.; Rammig, Anja; Hofhansl, Florian
Source: Remote Sensing. Unidade: FFCLRP
Subjects: FLORESTAS, BIOMASSA, CARBONO, ECOSSISTEMAS FLORESTAIS, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Iokanam Sales et al. Performance of laser-based electronic devices for structural analysis of amazonian terra-firme forests. Remote Sensing, v. 11, n. 5, p. 1-25, 2019Tradução . . Disponível em: https://doi.org/10.3390/rs11050510. Acesso em: 19 nov. 2024.
APA
Pereira, I. S., Nascimento, H. E. M. do, Vicari, M. B., Disney, M., DeLucia, E. H., Domingues, T. F., et al. (2019). Performance of laser-based electronic devices for structural analysis of amazonian terra-firme forests. Remote Sensing, 11( 5), 1-25. doi:10.3390/rs11050510
NLM
Pereira IS, Nascimento HEM do, Vicari MB, Disney M, DeLucia EH, Domingues TF, Kruijt B, Lapola D, Meir P, Norby RJ, Ometto JPHB, Quesada CA, Rammig A, Hofhansl F. Performance of laser-based electronic devices for structural analysis of amazonian terra-firme forests [Internet]. Remote Sensing. 2019 ; 11( 5): 1-25.[citado 2024 nov. 19 ] Available from: https://doi.org/10.3390/rs11050510
Vancouver
Pereira IS, Nascimento HEM do, Vicari MB, Disney M, DeLucia EH, Domingues TF, Kruijt B, Lapola D, Meir P, Norby RJ, Ometto JPHB, Quesada CA, Rammig A, Hofhansl F. Performance of laser-based electronic devices for structural analysis of amazonian terra-firme forests [Internet]. Remote Sensing. 2019 ; 11( 5): 1-25.[citado 2024 nov. 19 ] Available from: https://doi.org/10.3390/rs11050510

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