UMN Knowledge Center

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.

[img]
Preview
Text
ADADA_2016_paper_5C-2.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (349kB) | Preview

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)
Uncontrolled Keywords: Crowdsourcing; Twitter; GIS; Disaster Management
Subjects: H Social Sciences > HV Social pathology. Social and public welfare
H Social Sciences > HV Social pathology. Social and public welfare > HV551.2-639 Emergency management
T Technology > TA Engineering (General). Civil engineering (General) > TA495 Disasters and engineering
Divisions: Universitas Multimedia Nusantara
Depositing User: mr admin umn
Date Deposited: 12 Mar 2018 09:26
Last Modified: 12 Mar 2018 09:26
URI: http://kc.umn.ac.id/id/eprint/3830

Actions (login required)

View Item View Item