Increasing Timeliness of Satellite-Based Flood Mapping Using Early Warning Systems in the Copernicus Emergency Management Service

P1.47 Internet Technologies for Enabling Flood Emergency Early Warning Systems: the Arno River Basin Case

Flash flood early warning is a very complex activity, involving a decision-making process based on meteorological and hydrological situation description and forecasts. Anyway, the reliability of information resources is not sufficient to make a good early warning system since communication language and semantics problems arise. Indeed, the decision-makers are often not technical persons, althou...

Mapping the flood-prone areas for developing a flood risk management system in the northeast of Iran

Increasing the effectiveness of Early Warning

The effective implementation of early warning is one of the best investments for disaster prevention and mitigation. In the last decade, we have witnessed strong efforts and progress towards better risk detection, monitoring and prediction. However, the best warnings are ineffective if they cannot be distributed in a timely way and targeted to people at risk. With the evolvement of new Informat...

Virtual Dike and Flood Simulator: Parallel distributed computing for flood early warning systems

The paper presents two simulation modules –Virtual Dike and Flood Simulator– developed for flood Early Warning Systems (EWS). The UrbanFlood EWS is a distributed system that (1) analyzes sensor data received in real-time from flood defenses (dikes, dams, etc.) and (2) simulates dike stability, breaching and flood propagation. Computational modules are invoked by workflow-based expert scenarios ...

A Neural Network Approach to Flood Mapping Using Satellite Imagery

This paper presents a new approach to flood mapping using satellite synthetic-aperture radar (SAR) images that is based on intelligent techniques. In particular, we apply artificial neural networks, self-organizing Kohonen’s maps (SOMs), for SAR image segmentation and classification. Our approach was used to process data from different satellite SAR instruments (ERS-2/SAR, ENVISAT/ASAR, RADARSA...