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 flood incident reports, valuable hydraulic data such as the extent and depths of inundated areas and flow rate estimates can be computed using messages, photos and videos produced by citizens. Such crowdsourced data help improve the understanding and modelling of flood hazard. Since little feedback on similar initiatives is available, we introduce three recent citizen science projects which have been launched independently by research organisations to quantitatively document flood flows in catchments and urban areas of Argentina, France, and New Zealand. Key drivers fo...
Hyper-resolution datasets for urban flooding are rare. This problem prevents detailed flooding risk ...
To improve hydrological predictions, real-time measurements derived from traditional physical sensor...
To improve hydrological predictions, real-time measurements derived from traditional physical sensor...
New communication and digital image technologies have enabled the public to produce and share large ...
Floods are known as the most frequent events worldwide, which are caused by natural and human factor...
Pluvial flooding can have devastating effects, both in terms of loss of life and damage. Predicting ...
<p>Monitoring stations have been used for decades to properly measure hydrological variables and bet...
In recent years, the continued technological advances have led to the spread of low-cost sensors and...
Flood hazard assessment is at the core of flood risk management. In order to develop an efficient fl...
Citizen contributions to science have been successfully implemented in many fields, and water resou...
Citizen contributions to science have been successfully implemented in many fields, and water resour...
Flood disasters have significant impacts on the development of communities globally. This study desc...
Hyper-resolution datasets for urban flooding are rare. This problem prevents detailed flooding risk ...
To improve hydrological predictions, real-time measurements derived from traditional physical sensor...
To improve hydrological predictions, real-time measurements derived from traditional physical sensor...
New communication and digital image technologies have enabled the public to produce and share large ...
Floods are known as the most frequent events worldwide, which are caused by natural and human factor...
Pluvial flooding can have devastating effects, both in terms of loss of life and damage. Predicting ...
<p>Monitoring stations have been used for decades to properly measure hydrological variables and bet...
In recent years, the continued technological advances have led to the spread of low-cost sensors and...
Flood hazard assessment is at the core of flood risk management. In order to develop an efficient fl...
Citizen contributions to science have been successfully implemented in many fields, and water resou...
Citizen contributions to science have been successfully implemented in many fields, and water resour...
Flood disasters have significant impacts on the development of communities globally. This study desc...
Hyper-resolution datasets for urban flooding are rare. This problem prevents detailed flooding risk ...
To improve hydrological predictions, real-time measurements derived from traditional physical sensor...
To improve hydrological predictions, real-time measurements derived from traditional physical sensor...