[1] Intense storms with high-intensity, long-duration rainfall have great potential to trigger rapidly moving landslides, resulting in casualties and property damage across the world. In recent years, through the availability of remotely sensed datasets, it has become possible to conduct global-scale landslide hazard assessment. This paper evaluates the potential of the real-time NASA TRMMbased...

Time-series SAR/InSAR techniques have proven to be effective tools for measuring landslide movements over large regions. Prior studies of these techniques, however, have focused primarily on technical innovation and applications, leaving coupling analysis of slope displacements and trigging factors as an unexplored area of research. Linking potential landslide inducing factors such as hydrology...

Landslides are a major geological hazard in Garhwal Himalayas, since they are widespread dynamic processes that cause damage, and even loss of life, every year. Development of urban areas, Highway construction and expanded land use in Garhwal Himalaya mountain regions has increased the incidence of landslide disasters. The enormous damage caused by landslides can be reduced by means of monitori...

The accurate and rapid identification of landslide region is the basis for emergency disaster processing and analysis. The identification methods based on change information among multi-temporal remote optical sensing images are simple and intuitive. But its performance is remarkably limited by issues, such as unable to distinguish the changes according to the causes, improper processing strate...

This paper investigates rainfall-induced landslides on partially saturated soil slopes using the 2011 Umyeonsan landslides at the center of Seoul, Korea. An integrated analysis of rainfall-induced landslide was carried out through laboratory tests, field tests, and numerical analysis. The results of comprehensive investigations in the Umyeonsan region demonstrate that landslide activity is clos...

Landslides are amongst the most damaging natural hazards in the mountainous terrain like Himalaya. The study of landslides has drawn worldwide attention mainly due to increasing awareness of socio-economic impacts of landslides. Remote sensing images provide many useful land use information to combine in a GIS environment with other spatial factors influencing the occurrence of landslide. The l...

Triggered by earthquakes, rainfall, or anthropogenic activities, landslides represent widespread and problematic geohazards worldwide. In recent years, multiple remote sensing techniques, including synthetic aperture radar, optical, and light detection and ranging measurements from spaceborne, airborne, and ground-based platforms, have been widely applied for the analysis of landslide processes...

From landslide mapping it is known that the frequency of landslide occurence as a function of their magnitude can be described by a power law in many regions. In order to investigate the magnitude distribution of landslides from a theoretical point of view, we present a physically based landslide model combining aspects of slope stability and mass movement. If the long term driving processes (f...

An empirical modeling of road related and non-road related landslide hazard for a large geographical area using logistic regression in tandem with signal detection theory is presented. This modeling was developed using geographic information system (GIS) and remote sensing data, and was implemented on the Clearwater National Forest in central Idaho. The approach is based on explicit and quantit...