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A Review on Applications of Big Data for Disaster Management

Authors :
Ana-Maria Roxin
Dominique Ginhac
Muhammad Arslan
Christophe Cruz
Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i)
Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM)
Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies
HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)
Université de Franche-Comté (UFC)
Université Bourgogne Franche-Comté [COMUE] (UBFC)
Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i )
Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Université de Franche-Comté ( UFC )
Arslan, Muhammad
Source :
The 13th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS, The 13th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS, Dec 2017, Jaipur, India, HAL, SITIS
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; The term " disaster management " comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs, improved comfort, usability and endurance based on the integration of energy consumption data, environmental conditions and levels of occupancy. This paper aims presenting a systematic literature review on the applications of big data in disaster management. The paper will first presents the visual definition of disaster management and describes big data; it will then illustrate the findings and gives future recommendations after a systematic literature review.

Details

Language :
English
Database :
OpenAIRE
Journal :
The 13th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS, The 13th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS, Dec 2017, Jaipur, India, HAL, SITIS
Accession number :
edsair.doi.dedup.....5afcd7184a7d5915181ac2097049a903