The modelling and management of flood risk in urban areas are increasingly recognized as
global challenges. The complexity of these issues is a consequence of the existence of …

The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

In recent years, social media emerged as a potential resource to improve the management
of crisis situations such as disasters triggered by natural hazards. Although there is a …

Flood events cause substantial damage to urban and rural areas. Monitoring water extent
during large-scale flooding is crucial in order to identify the area affected and to evaluate …

Applying a novel approach based on the fusion of social media data, land use data and
other information, this paper examines the spatio-temporal patterns of public responses …

New communication and digital image technologies have enabled the public to produce
large quantities of flood observations and share them through social media. In addition to …

ABSTRACT A new methodology is introduced that leverages data harvested from social
media for tasking the collection of remote-sensing imagery during disasters or emergencies …

The representations of the Earth's surface vary from one geographic region to another. For
instance, the appearance of urban areas differs between continents, and seasonality …

Effective flood risk management requires updated information to ensure that the correct
decisions can be made. This can be provided by Wireless Sensor Networks (WSN) which …