Crowdsourcing, data and information fusion and situation awareness for emergency Management of forest fires: The project DF100Fogo (FDWithoutFire)

被引:0
作者
Oliveira A.C.M. [1 ]
Botega L.C. [1 ]
Saran J.F. [1 ]
Silva J.N. [1 ]
Melo J.O.S.F. [1 ]
Tavares M.F.D. [2 ]
Neris V.P.A. [3 ]
机构
[1] Human-Computer Interaction Group, University Centre Eurípides of Marília, Marília, São Paulo
[2] Brazilian Institute of Information in Science and Technology, Brasília, Distrito Federal
[3] Department of Computing, Federal University of São Carlos, São Carlos
来源
Computers, Environment and Urban Systems | 2019年 / 77卷
关键词
Crowdsourcing; Data fusion; Emergency management; Forest fire; Information fusion; Situation awareness; User interface;
D O I
10.1016/j.compenvurbsys.2017.08.006
中图分类号
学科分类号
摘要
Forest fires are a constant problem in many regions, one being the Cerrado Biome in Brazilian Federal District. This type of incident is largely originated by non-natural causes, and their control depends on the response capacity of local brigades and on daily practices of surrounding populations. Therefore, the goal of this project is to propose mechanisms to support local communities, brigades and firefighters, delivered through the FDWithoutFire system. The system has as core the crowdsourcing of information from the community, which participates in producing voluntary information to generate alert reports to enhance monitoring services of fire situations in protected areas. Then, local brigades and firefighters need to develop their own Situation Awareness, which is an understanding of the events, to have a more assertive decision-making and ensure a better allocation of resources for emergency response. To support them, FDWithoutFire uses a process of Data and Information Fusion, based on the Quantify fusion model, integrating data from multiple sources to produce more significant information, aiming to stimulate the SAW of the users. This paper describes the technological routines of FDWithoutFire, demonstrating the applicability of the work by showing how it treats a fire occurrence. © 2017 Elsevier Ltd
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