This paper deals with landslide hazard and risk analysis using Geographic Information System (GIS) and remote sensing data for Cameron Highland, Malaysia. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys. Topographical/geological data and satellite images were collected and processed using GIS and image processing tools. There are...

Landslides are devastating phenomena that cause huge damage around the world. This paper presents a quasiglobal landslide model derived using satellite precipitation data, land-use land cover maps, and 250 m topography information. This suggested landslide model is based on the Support Vector Machines (SVM), a machine learning algorithm. The National Aeronautics and Space Administration (NASA) ...

Accurate detection of landslide spatial patterns is vital in susceptibility, hazard, and risk disaster mapping. Geographic Information System (GIS)-based quantitative approaches provide a rigorous procedure for gaining deep insight into natural anthropogenic landslides from different scales. This study aims to implement comprehensive solution retrieving the susceptibility index. For that purpos...

Bathymetric distributions of photosynthetic marine invertebrate species are relatively well studied, however the importance of symbiont zonation (i.e. hosting of distinct algal endosymbiont communities over depth) in determining these depth distributions still remains unclear. Here, we assess the prevalence of symbiont zonation in tropical scleractinian corals by genotyping the Symbiodinium of ...

On October 29, 2008, magnitude 6.4 earthquake occurred in a area of western Pakistan. One of the Japanese earth observation satellite, Advanced Land Observing Satellite (ALOS), observed this area by all onboard sensors, AVNIR-2, PRISM, and PALSAR. By optical imagery, AVNIR-2 and PRISM imagery, huge landslide (rock slide) and landslide dam were confirmed by visual interpretation. And also this l...

Spatial analysis and GIS technology are still seldom used to evaluate and map landslide risk. Especially, few studies concern the automatic mapping of landslide risk at large scales (1:10,000) corresponding to the scale of the legal regulation plans in France. Maquaire et al., Analyse spatiale du risque « glissement de terrain » 2 This paper presents a three-step procedure to map landslide risk...

The main aim of this paper is landslide susceptibility assessment using fuzzy expert-based modeling. Factors that influence landslide occurrence, such as elevation, slope, aspect, lithology, land cover, precipitation and seismicity were considered. Expert-based fuzzy weighting (EFW) approach was used to combine these factors for landslide susceptibility mapping (Peloponnese, Greece). This metho...

Landslide mapping (LM) has recently become an important research topic in remote sensing and geohazards. The area near the Three Gorges Reservoir (TGR) along the Yangtze River in China is one of the most landslide-prone regions in the world, and the area has suffered widespread and significant landslide events in recent years. In our study, an object-oriented landslide mapping (OOLM) framework ...

Landslides can result in enormous casualties and huge economic losses in mountainous regions. In order to mitigate landslide hazard effectively, new methodologies are required to develop a better understanding of landslide hazard and to make rational decisions on the allocation of funds for management of landslide risk. Recent advances in risk analysis and risk assessment are beginning to provi...