The study of disaster situation awareness based on volunteered geographic information

Qiansheng Zhao; Zi Chen; Shengming Li; Nianxue Luo

doi:10.1117/12.2210974

9 December 2015 The study of disaster situation awareness based on volunteered geographic information

Qiansheng Zhao, Zi Chen, Shengming Li, Nianxue Luo

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98081Q (2015) https://doi.org/10.1117/12.2210974
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

As the development of Web 2.0, the social media like microblog, blogs and social network have supplied a bunch of information with locations (Volunteered Geographical Information, VGI).Recent years many cases have shown that, if disaster happened, the cyber citizens will get together very quickly and share the disaster information, this results a bunch of volunteered geographical information about disaster situation which is very valuable for disaster response if this VGIs are used efficiently and properly. This project will take typhoon disaster as case study. In this paper, we study the relations between weibo messages and the real typhoon situation, we proposed an analysis framework for mine the relations between weibo messages distribution and physical space. We found that the number of the weibo messages, key words frequency and spatial temporary distribution of the messages have strong relations with the disaster spread in the real world, and this research results can improve our disaster situation awareness in the future. The achievement of the study will give a method for typhoon disaster situation awareness based on VGI from the bottom up, and will locate the disaster spot and evolution quickly which is very important for disaster response and recover.

Citation Download Citation

Qiansheng Zhao, Zi Chen, Shengming Li, and Nianxue Luo "The study of disaster situation awareness based on volunteered geographic information ", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98081Q (9 December 2015); https://doi.org/10.1117/12.2210974

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