Results 171 to 180 of about 8,135 (207)
Some of the next articles are maybe not open access.
Landslide Susceptibility Map of Pike County, Kentucky
2022The purpose of this map is to identify landslide-prone areas in Pike County in order to provide the public, as well as local and state government agencies, with information about where landslides are likely to occur. This map represents geomorphic-based susceptibility modeling that focuses on physical slope characteristics and morphology, the quality ...
Crawford, Matt M. +3 more
openaire +1 more source
Landslide susceptibility map of Canada
2012Landslides are especially damaging in Canada and despite their extensive occurrence, the exact location of instability depends on several factors and is therefore not homogeneous across the country. The 1:6 million scale landslide susceptibility map of Canada presented here is a first approximation for those individuals interested in pursuing more ...
P T Bobrowsky, M J Dominguez
openaire +1 more source
Total Landslide Susceptibility Modelling
2018This paper outlines the status of the landslide susceptibility modelling of the Sydney Basin region within the state of NSW, Australia. This area extends from Newcastle in the north to Batemans Bay in the south and west to include the Blue Mountains, an area of approximately 31,000 km2. The University of Wollongong NSW Landslide Inventory includes 1863
Phil Flentje +3 more
openaire +1 more source
Discerning landslide susceptibility using rough sets
Computers, Environment and Urban Systems, 2008Rough set theory has been primarily known as a mathematical approach for analysis of a vague description of objects. This paper explores the use of rough set theory to manage the complexity of geographic characteristics of landslide susceptibility and extract rules describing the relationships between landslide conditioning factors and landslide events.
Pece V. Gorsevski, Piotr Jankowski 0001
openaire +1 more source
Bulletin of Engineering Geology and the Environment
Reasonable division methods of landslide susceptibility indexes (LSIs) are crucial for producing landslide susceptibility levels (LSLs), including very low, low, moderate, high, and very high levels. However, few studies have systematically compared division methods such as natural break, equal interval, quantile, geometric interval, and K-means ...
Huang, Faming +8 more
openaire +1 more source
Reasonable division methods of landslide susceptibility indexes (LSIs) are crucial for producing landslide susceptibility levels (LSLs), including very low, low, moderate, high, and very high levels. However, few studies have systematically compared division methods such as natural break, equal interval, quantile, geometric interval, and K-means ...
Huang, Faming +8 more
openaire +1 more source
Landslide susceptibility analysis using weight of evidence
IEEE International Geoscience and Remote Sensing Symposium, 2003Bayesian probability model, using the weight-of-evidence method, have applied to the task of evaluating landslide susceptibility using GIS data. The location chosen for the study was the Janghung area in Korea, which suffered substantial landslide damage following heavy rain in 1998. Using the location of the landslides, and topographic factors such as
Saro Lee, J. Choi, U. Chwae, B. Chang
openaire +1 more source
GeoFIS: An integrated tool for the assessment of landslide susceptibility
Computers & Geosciences, 2014Abstract In this study, requirements of landslide susceptibility mapping by a Mamdani fuzzy inference system (FIS) are identified, and a single standalone application (GeoFIS) is developed. GeoFIS includes two main open source libraries, one for GIS operations and the other for creating Mamdani FIS.
Turgay Osna +2 more
openaire +1 more source
Composite landslide susceptibility maps
2019Landslides are heterogeneous natural processes. Given the significant variability of the different landslide types and in particular of their dimensional characteristics, style of movement and triggering mechanisms, multiple models and approaches have been developed in the literature.
Mauro Rossi +6 more
openaire +1 more source
Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model
Journal of Environmental Management, 2023Junyi Zhang +2 more
exaly