Results 171 to 180 of about 3,126 (205)
Some of the next articles are maybe not open access.
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
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
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 +2 more sources
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 +2 more sources
Probabilistic Approaches and Landslide Susceptibility
2019The present study is associated with the implication of weight of evidence model and certainty factor model to prepare landslide susceptibility maps of the Balason river basin of Darjeeling Himalaya using data layers of elevation, slope, aspect, curvature, geology, geomorphology, soil, distance to lineament, lineament density, drainage density ...
Sujit Mandal, Subrata Mondal
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 +2 more sources
Knowledge-Based Landslide Susceptibility Zonation System
Journal of Computing in Civil Engineering, 2010The landslide susceptibility of a region is important for socioeconomic considerations and engineering applications. Thus, an automated system for mapping of landslide susceptibility could be of significant benefit for society. In this paper, a knowledge-based landslide susceptibility zonation (LSZ) system has been proposed.
Jayanta Kumar Ghosh +1 more
openaire +2 more sources
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
2009
Aim of this work is to determine the landslide susceptibility of a territory using the data banks and the information normally available to civil services. The landslide hazard is defined as the probability that an event happens in a certain period. The landslide susceptibility points out the tendency to the instability of the slopes calculated on the ...
openaire +1 more source
Aim of this work is to determine the landslide susceptibility of a territory using the data banks and the information normally available to civil services. The landslide hazard is defined as the probability that an event happens in a certain period. The landslide susceptibility points out the tendency to the instability of the slopes calculated on the ...
openaire +1 more source
Artificial Intelligence in Landslide Susceptibility: A Bibliometric Analysis
Transactions in GISABSTRACT Landslides, a prevalent form of mass movement, represent significant natural disasters capable of inflicting substantial casualties and property damage. Determining landslide susceptibility is crucial for enhancing resilience against such events.
Berkant Konakoglu +1 more
openaire +2 more sources