Cargando…
A Novel Rule-Based Approach in Mapping Landslide Susceptibility
Despite recent advances in developing landslide susceptibility mapping (LSM) techniques, resultant maps are often not transparent, and susceptibility rules are barely made explicit. This weakens the proper understanding of conditioning criteria involved in shaping landslide events at the local scale...
Autores principales: | Roodposhti, Majid Shadman, Aryal, Jagannath, Pradhan, Biswajeet |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567231/ https://www.ncbi.nlm.nih.gov/pubmed/31100945 http://dx.doi.org/10.3390/s19102274 |
Ejemplares similares
-
A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping
por: Feizizadeh, Bakhtiar, et al.
Publicado: (2014) -
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
por: Shirzadi, Ataollah, et al.
Publicado: (2018) -
Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest
por: Shadman Roodposhti, Majid, et al.
Publicado: (2019) -
A Novel Swarm Intelligence—Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility
por: Bui, Dieu Tien, et al.
Publicado: (2019) -
Deep learning-based landslide susceptibility mapping
por: Azarafza, Mohammad, et al.
Publicado: (2021)