Cargando…
An objective absence data sampling method for landslide susceptibility mapping
The accuracy and quality of the landslide susceptibility map depend on the available landslide locations and the sampling strategy for absence data (non-landslide locations). In this study, we propose an objective method to determine the critical value for sampling absence data based on Mahalanobis...
Autores principales: | Rabby, Yasin Wahid, Li, Yingkui, Hilafu, Haileab |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889336/ https://www.ncbi.nlm.nih.gov/pubmed/36720965 http://dx.doi.org/10.1038/s41598-023-28991-5 |
Ejemplares similares
-
The importance of input data on landslide susceptibility mapping
por: Gaidzik, Krzysztof, et al.
Publicado: (2021) -
Sparse sliced inverse regression for high dimensional data analysis
por: Hilafu, Haileab, et al.
Publicado: (2022) -
Comparative study on landslide susceptibility mapping based on unbalanced sample ratio
por: Tang, Li, et al.
Publicado: (2023) -
Sparse reduced-rank regression for integrating omics data
por: Hilafu, Haileab, et al.
Publicado: (2020) -
Deep learning-based landslide susceptibility mapping
por: Azarafza, Mohammad, et al.
Publicado: (2021)