Source: Geociências. Unidades: IEE, IAG
Subjects: DESLIZAMENTO DE TERRA, IMAGEAMENTO DE SATÉLITE
ABNT
DIAS, Helen Cristina e HOLBLING, Daniel e GROHMANN, Carlos Henrique. Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: an assessment using machine learning and statistical approaches. Geociências, v. 15, n. 3, p. 1-17, 2025Tradução . . Disponível em: https://doi.org/10.3390/geosciences15030077. Acesso em: 18 nov. 2025.APA
Dias, H. C., Holbling, D., & Grohmann, C. H. (2025). Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: an assessment using machine learning and statistical approaches. Geociências, 15( 3), 1-17. Recuperado de https://doi.org/10.3390/geosciences15030077NLM
Dias HC, Holbling D, Grohmann CH. Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: an assessment using machine learning and statistical approaches [Internet]. Geociências. 2025 ;15( 3): 1-17.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/geosciences15030077Vancouver
Dias HC, Holbling D, Grohmann CH. Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: an assessment using machine learning and statistical approaches [Internet]. Geociências. 2025 ;15( 3): 1-17.[citado 2025 nov. 18 ] Available from: https://doi.org/10.3390/geosciences15030077
