A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare region. The probabilistic model is based on a physical model based on Mohr coulomb failure criterion. A Monte Carlo simulation technique is applied to field collected data. The results are integrated and a probability of landslide is obtained at each cell level. The results are compared to a prepared landslide inventory. The overall accuracy of the model is 79.69%
The tendency in using quantitative approach has strongly been influenced by the trend of probabiliti...
Landslides are one of the many forms of natural hazards that often cause severe property damages, ec...
As in other hilly and mountainous regions of the world, the hillslopes of Bujumbura are prone to lan...
A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare...
The accurate assessment of landslide hazards is important in order to reduce the casualties and dama...
The paper proposes a methodology for quantitative landslide risk assessment for regional-scale analy...
The present study is consecrated to the probabilistic mapping of the landslide risk at the local sca...
[[abstract]]To prepare a landslide susceptibility map is essential to identify hazardous regions, co...
Landslide risk assessment is based on spatially integrating landslide hazard with exposed elements-a...
Landslide is a natural phenomenon widely spread in the Mediterranean. It is a process that shapes th...
In the current study, Penang Island, which is one of the several mountainous areas in Malaysia that ...
A joint conditional probability model is proposed to represent a measure of a future landslide hazar...
Hulu Kelang is a region in Malaysia which is very susceptible to landslides. From 1990 to 2011, a to...
This paper deals with landslide hazards and risk analysis of Penang Island, Malaysia using Geo-graph...
To cope with natural disasters, it is necessary to establish a strategy for adaptation after analyzi...
The tendency in using quantitative approach has strongly been influenced by the trend of probabiliti...
Landslides are one of the many forms of natural hazards that often cause severe property damages, ec...
As in other hilly and mountainous regions of the world, the hillslopes of Bujumbura are prone to lan...
A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare...
The accurate assessment of landslide hazards is important in order to reduce the casualties and dama...
The paper proposes a methodology for quantitative landslide risk assessment for regional-scale analy...
The present study is consecrated to the probabilistic mapping of the landslide risk at the local sca...
[[abstract]]To prepare a landslide susceptibility map is essential to identify hazardous regions, co...
Landslide risk assessment is based on spatially integrating landslide hazard with exposed elements-a...
Landslide is a natural phenomenon widely spread in the Mediterranean. It is a process that shapes th...
In the current study, Penang Island, which is one of the several mountainous areas in Malaysia that ...
A joint conditional probability model is proposed to represent a measure of a future landslide hazar...
Hulu Kelang is a region in Malaysia which is very susceptible to landslides. From 1990 to 2011, a to...
This paper deals with landslide hazards and risk analysis of Penang Island, Malaysia using Geo-graph...
To cope with natural disasters, it is necessary to establish a strategy for adaptation after analyzi...
The tendency in using quantitative approach has strongly been influenced by the trend of probabiliti...
Landslides are one of the many forms of natural hazards that often cause severe property damages, ec...
As in other hilly and mountainous regions of the world, the hillslopes of Bujumbura are prone to lan...