Landslide Susceptibility Mapping in Brazil: a review (2021)
- Authors:
- USP affiliated authors: CARVALHO, CARLOS HENRIQUE GROHMANN DE - IEE ; DIAS, HELEN CRISTINA - IEE
- Unidade: IEE
- DOI: 10.3390/geosciences11100425
- Assunto: DESLIZAMENTO DE TERRA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Geosciences
- Volume/Número/Paginação/Ano: v. 11, n.10, p.art.425/1-15, oct.2021
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
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: 19 set. 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 set. 19 ] 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 set. 19 ] Available from: https://doi.org/10.3390/geosciences11100425 - An object-based approach for semi-automated shallow landslide mapping: suitability and comparison in Itaóca (SP) and Nova Friburgo (RJ), southeastern Brazil
- Statistical-based shallow landslide susceptibility assessment for a tropical environment: a case study in the southeastern Brazilian coast
- Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil
- Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping
- Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil
- Distinction between watersheds prone to debris flow, debris flood, and flood using morphometry in Serra do Mar, Brazil (São Paulo State North shore)
- Rainfall-induced debris flows and shallow landslides in Ribeira Valley, Brazil: main characteristics and inventory mapping
- Application of Object-Based Image Analysis for Detecting and Differentiating between Shallow Landslides and Debris Flows
- Modelagem da suscetibilidade a escorregamentos rasos com base em análises estatísticas
- Landslide recognition using SVM, Random Forest, and Maximum Likelihood classifiers on high-resolution satellite images: A case study of Itaóca, southeastern Brazil
Informações sobre o DOI: 10.3390/geosciences11100425 (Fonte: oaDOI API)
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