Typhoon soudelor: comparing remotely-­sensed data and tweets

Haimes, Paul and Tetsuaki, Baba (2016) Typhoon soudelor: comparing remotely-­sensed data and tweets. In: ADADA 2016 14TH International Conference for Asia Digital Art and Design, Bali 1-3 November 2016.

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Abstract

Typhoon Soudelor was the strongest typhoon recorded in 2015. It had a devastating impact on urban and regional areas of countries such as Taiwan, Japan and mainland China. To ascertain the effectiveness of online communication during this typhoon event, we are comparing near real-time remotely-sensed data with Tweets that are publicly available through Twitter’s platform. For the purpose of this study, we are looking at data points immediately before, during and after the point that Typhoon Soudelor crossed the area of the eastern Taiwanese city and region of Huelin. To do this, we are focusing on remotely-sensed readings and analysing content from Twitter from the same time period. Here, we consider and contrast these two data sources and discuss the strengths and weaknesses of both kinds of data as we look to accommodate both in an intuitive and easy to use mobile application for near real-time typhoon tracking.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Crowdsourcing; Twitter; GIS; Disaster Management
Subjects:	300 Social Sciences > 320 Political science > 320 Political Science (Government Management) 300 Social Sciences > 360 Social problems and social services 500 Science and Mathematic > 550 Earth Sciences and Geology > 550 Earth Sciences
Divisions:	Universitas Multimedia Nusantara
Depositing User:	Administrator UMN Library
Date Deposited:	12 Mar 2018 09:26
Last Modified:	21 Jan 2022 04:56
URI:	https://kc.umn.ac.id/id/eprint/3830

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