Reducing Local Correlations Among Causal Factor Classifications as a Strategy to Improve Landslide Susceptibility Mapping
A landslide susceptibility map (LSM) is the basis of hazard and risk assessment, guiding land planning and utilization, early warning of disaster, etc. Researchers are often overly keen on hybridizing state-of-the-art models or exploring new mathematical susceptibility models to improve the accuracy...
Enregistré dans:
Auteurs principaux: | Ting Xiao, Lanbing Yu, Weiming Tian, Chang Zhou, Luqi Wang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Frontiers Media S.A.
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f7d153ec245845e5a5b56f25f4c3e0f0 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Landslide susceptibility mapping using GIS along the Niš-North Macedonia highway
par: Tešić Dajana
Publié: (2021) -
Geospatial modelling of landslide susceptibility in Cross River State of Nigeria
par: Joel Efiong, et autres
Publié: (2021) -
Landslide susceptibility maps of Santiago city Andean foothills, Chile
par: Lara,Marisol, et autres
Publié: (2018) -
Evaluating underlying causative factors for earthquake-induced landslides and landslide susceptibility mapping in Upper Indrawati Watershed, Nepal
par: Pawan Gautam, et autres
Publié: (2021) -
Landslide Susceptibility Mapping by Comparing GIS-Based Bivariate Methods: A Focus on the Geomorphological Implication of the Statistical Results
par: Laura Coco, et autres
Publié: (2021)