distinguishing the susceptible areas to landslide using different landslide susceptibility mapping (lsm) models is one of the primitive and basic works to reduce probable damages and reduce risk. the main purpose of this research is the efficiency evaluation of four methods including information value (winf), valuing area accumulation (wa), analytical hierarchy process (ahp), kopta-joshi propos...

Landslides can cause severe damage to both the environment and society, many statistical, index-based, inventory-based methods have been developed assess landslide susceptibility; however, it is still challenging choose most effective method properly identify major driving factors for specific regions. Here, we applied four machine learning algorithms, adaptive boosting (AdaBoost), gradient-boo...

Landslides are considered as one of the natural hazards responsible for casualties, damage of assets, and infrastructures. In many situations, collection of field data from remote places is difficult due to inaccessibility of landslide area. This paper examines landslide susceptibility in the Bukit Antarabangsa, Kuala Lumpur, to ease geographical studies, using image processing and multivariate...

We can distinguish three phases of using the SAR and other EO satellite data in landslide studies: 1. Surface characterisation, ie initial topographic and geomorphological classification, DEMs, photogrammetry (using Spot and Landsat); 2. Measurement of slow to extremely slow slope movements by means of SAR interferometry; 3. Systematic monitoring of temporal-spatial variations in some slide pro...

Landslide susceptibility prediction has the disadvantages of being challenging to apply expanding landslide samples and low accuracy a subjective random selection non-landslide samples. Taking Fu’an City, Fujian Province, as an example, model based on semi-supervised framework using particle swarm optimization optimize extreme learning machines (SS-PSO-ELM) is proposed. Based samples, construct...

Title of Document: IDENTIFYING LANDSLIDE HAZARDS IN A TROPICAL MOUNTAIN ENVIRONMENT, USING GEOMORPHOLOGIC AND PROBABILISTIC APPROACHES José Gregorio Roa-Lobo PhD, 2007 Directed By: Prof. Michael Kearney, Department of Geography The objective of this study is the performance, assessing, comparison and validation of a set of three landslide hazard maps: The geomorphological, the multicriteria eva...

HazardMatch is a computer system for the production of landslide susceptibility maps using semantics and semantic technology, a field of artificial intelligence. It provides a software framework within which a landslide expert can describe, using language as close to natural (specialist) language as possible, the properties of surface locations which are highly susceptible to landslides. It use...

The communities living on the dangerous hillslopes in Chittagong City Corporation (CCC) in Bangladesh recurrently experience landslide hazards during the monsoon season. The frequency and intensity of landslides are increasing over time because of heavy rainfall occurring over a few days. Furthermore, rapid urbanization through hill-cutting is another factor, which is believed to have a signifi...

more than 30% of iran's land is formed from mountainous areas. so each year, landslides cause damages to structures, residential areas and forests, creating sedimentation, muddy floods and finally deposit the sediments in reservoir dams. therefore, for preventing of this damages and expressing the sensitivity rate of hillslopes, landslide hazard zonation is considered in prone areas. the p...

This study aims to assess landslide susceptibility in Pahne Kola watershed located in the south of Sari, based on bivariate logistic regression. For this purpose, the distribution map of the area’s landslides was firstly prepared in ArcGIS software. Eight effective factors on landslide event including elevation, slope, slope aspect, rainfall, land use, distance from the road, soil and geology w...