Recomienda este artículo a tus amigos:
Landslide Susceptibility Assessment: Comparison of Knowledge-based and Data-driven Models
Faus Tinus Handi Feryandi
Landslide Susceptibility Assessment: Comparison of Knowledge-based and Data-driven Models
Faus Tinus Handi Feryandi
Disaster management requires spatial information as a backbone of preparedness and mitigation process. In that context, an assessment of landslide susceptibility becomes essential in an area that is prone to landslide due to its geographical condition. In this study, three different methods were applied to examine landslide susceptibility in that area: heuristic, statistical logistic regression and Artificial Neural Network (ANN). Heuristic method is a knowledge-based approach whereas the latter two are categorized as data-driven methods due to the involvement of landslide inventory in their analysis. Eight site-specific available and commonly used landslide influencing factors (slope, aspect, topographical shape, curvature, lithology, land use, distance to road and distance to river) were preprocessed in a GIS environment and then analyzed using statistical and GIS tools to understand the relationship and significance of each to landslide occurrence, and to generate landslide susceptibility maps.
Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
Publicado | 12 de agosto de 2012 |
ISBN13 | 9783659198939 |
Editores | LAP LAMBERT Academic Publishing |
Páginas | 132 |
Dimensiones | 150 × 8 × 226 mm · 204 g |
Lengua | English |
Ver todo de Faus Tinus Handi Feryandi ( Ej. Paperback Book )