E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time

E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time

In the first hours of a disaster, up-to-date information about the area of interest is crucial for effective disaster management. However, due to the delay induced by collecting and analysing satellite imagery, disaster management systems like the Copernicus Emergency Management Service (EMS) are cu...

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Bibliographic Details
Main Authors: Clemens Havas, Bernd Resch, Chiara Francalanci, Barbara Pernici, Gabriele Scalia, Jose Luis Fernandez-Marquez, Tim Van Achte, Gunter Zeug, Maria Rosa (Rosy) Mondardini, Domenico Grandoni, Birgit Kirsch, Milan Kalas, Valerio Lorini, Stefan Rüping
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sensors
Subjects:
social media
crowdsourcing
geospatial analysis
machine learning
image classification
geolocation
3D reconstruction
architecture
disaster management
near real time
Online Access:https://www.mdpi.com/1424-8220/17/12/2766

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https://www.mdpi.com/1424-8220/17/12/2766

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