Abstract
As catastrophic phenomena, landslides often cause large-scale socio-economic destruction including loss of life, economic collapse, and human injury. In addition, landslides can impair the functioning of critical infrastructure and destroy cultural heritage and ecological systems. In order to build a more landslide resistant and resilient society, an original GIS-based decision support system is put forth in order to help emergency managers better prepare for and respond to landslide disasters. The GIS-based landslide monitoring and management system includes a Central Repository System (CRS), Disaster Data Processing Modules (DDPM), a Command and Control System (CCS) and a Portal Management System (PMS). This architecture provides valuable insights into landslide early warning, landslide risk and vulnerability analyses, and critical infrastructure damage assessments. Finally, internet-based communications are used to support landslide disaster modelling, monitoring and management.
Highlights
As catastrophic events, the large-scale devastation caused by landslides is well-known: human injury and death, economic dislocation, environmental impacts, and the loss of cultural and naturalRemote Sensing 2010, 2 heritage
Multispectral and hyperspectral imaging systems are used to identify land surface parameters and to analyze slopes, drainage, land cover, road networks and other features. This original system will allow for improved command, control, and communication, thereby improving situational awareness, reducing landslide disaster risk and meeting unique client demands
In order to build a more landslide resistant and resilient society, an original GIS-based decision support system is developed in order to help emergency managers better prepare for and respond to landslide disasters
Summary
The large-scale devastation caused by landslides is well-known: human injury and death, economic dislocation, environmental impacts, and the loss of cultural and natural. Two widely used three dimensional landslide digital elevation/terrain models (digital representation of ground surface topography) include the slope-stability model (SCOOPS) and the debris-flow inundation model (LAHARZ) [24,25,26,27] Coupling these existing systems would help to predict the location and size of potential landslides and to model expected inundation areas from the resulting debris flows. Extensive research has been conducted on the causes, mechanisms, and distribution of landslides in order to provide a better understanding of landslide hazard and risk This involves field-based landslide mapping landslides, the investigation of soil properties, computer modeling of rock slope stability and the impacts of groundwater on potentially unstable slopes [28,29,30,31,32]. This original system will allow for improved command, control, and communication, thereby improving situational awareness, reducing landslide disaster risk and meeting unique client demands
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