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: 21 maio 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 maio 21 ] 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 maio 21 ] Available from: https://doi.org/10.3390/geosciences11100425 - Statistical-based shallow landslide susceptibility assessment for a tropical environment: a case study in the southeastern Brazilian coast
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- Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping
- Distinction between watersheds prone to debris flow, debris flood, and flood using morphometry in Serra do Mar, Brazil (São Paulo State North shore)
- Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil
- 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
- Effects of spatial resolution on slope and aspect derivation for regional-scale analysis
- Forest Restoration Monitoring Protocol with a Low-Cost Remotely Piloted Aircraft: lessons Learned from a Case Study in the Brazilian Atlantic Forest
Informações sobre o DOI: 10.3390/geosciences11100425 (Fonte: oaDOI API)
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