Abstract – A geospatial model has been developed to identify areas of human population vulnerable to natural hazards. These areas tend to be locations where disasters have occurred frequently, and populations lack the social and economic infrastructure to mitigate or adequately respond to effects of disaster events. In this paper we examine an application of this model in continental Africa. An evaluation of the AVHRR Land Pathfinder database and time series precipitation data from the Global Precipitation Climatology Center was undertaken to identify anomalies indicative of adverse natural conditions. These conditions were used to modulate the vulnerability index to identify vulnerable populations.
Vulnerability assessments are important instruments to reveal the most harmful impacts of climate ch...
The increased interest for categorising countries at risk calls for an improved methodology allowing...
Future population growth is expected to concentrate in urban agglomerations that are already exposed...
Rapid advancements in Earth observation, localised data collection, and modelling techniques are rev...
This paper presents a model of factors influencing levels of human losses from natural hazards at th...
Global climate change (GCC) has led to increased focus on the occurrence of, and preparation for, cl...
Abstract Background Reducing the potential for large scale loss of life, large numbers of casualties...
Abstract This paper develops and maps the first spatially explicit, integrative measure of vulnerabi...
Abstract Landslide hazards significantly affect economies and populations around the world, but loca...
In the last decade, real-time access to data and the use of high-resolution spatial information have...
Future climate change potentially can have a strong impact on the African continent. Of special conc...
International audienceThe area of risk management in geo-hazards is fairly complex due to extreme an...
Vulnerability mapping has emerged as one of the mitigation strategies in the midst of increasing los...
The rate of urbanization growth in tropical areas, particularly in African cities, coupled with a ga...
In the context of disaster risk management and in particular for improving preparedness and mitigati...
Vulnerability assessments are important instruments to reveal the most harmful impacts of climate ch...
The increased interest for categorising countries at risk calls for an improved methodology allowing...
Future population growth is expected to concentrate in urban agglomerations that are already exposed...
Rapid advancements in Earth observation, localised data collection, and modelling techniques are rev...
This paper presents a model of factors influencing levels of human losses from natural hazards at th...
Global climate change (GCC) has led to increased focus on the occurrence of, and preparation for, cl...
Abstract Background Reducing the potential for large scale loss of life, large numbers of casualties...
Abstract This paper develops and maps the first spatially explicit, integrative measure of vulnerabi...
Abstract Landslide hazards significantly affect economies and populations around the world, but loca...
In the last decade, real-time access to data and the use of high-resolution spatial information have...
Future climate change potentially can have a strong impact on the African continent. Of special conc...
International audienceThe area of risk management in geo-hazards is fairly complex due to extreme an...
Vulnerability mapping has emerged as one of the mitigation strategies in the midst of increasing los...
The rate of urbanization growth in tropical areas, particularly in African cities, coupled with a ga...
In the context of disaster risk management and in particular for improving preparedness and mitigati...
Vulnerability assessments are important instruments to reveal the most harmful impacts of climate ch...
The increased interest for categorising countries at risk calls for an improved methodology allowing...
Future population growth is expected to concentrate in urban agglomerations that are already exposed...