Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …

Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage
to a country's economy. Floods, being natural disasters, cannot be prevented completely; …

Flood management, which involves flood prediction, detection, mapping, evacuation, and
relief activities, can be improved via the adoption of state-of-the-art tools and technology …

Large damages and losses resulting from floods are widely reported across the globe. Thus,
the identification of the flood-prone zones on a flood susceptibility map is very essential. To …

The aggregation of the same type of socio-economic activities in urban space generates
urban functional zones, each of which has one function as the main (eg, residential …

Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and developing …

Rivers play an essential role to humans and ecosystems, but they also burst their banks
during floods, often causing extensive damage to crop, property, and loss of lives. This …

Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and
time and increases efficiency in agricultural management activities, which improves the food …

The notion of “smart city” incorporates promises of urban resilience, referring generally to
capacities for cities to anticipate, absorb, react, respond, and reorganize in the face of …

Floods are among the most common and destructive natural disasters in New Zealand, and
climate change is anticipated to make them even more frequent and severe. A clear and …