Satellite data based semi-real time media contents to support natural disasters mitigation

Perera, Kithsiri and Tateishi, Ryutaro (2013) Satellite data based semi-real time media contents to support natural disasters mitigation. In: Australian and New Zealand Disaster and Emergency Management Conference (ANZDMC 2012): Earth: Fire and Rain, 16-18 Apr 2012, Brisbane, Australia.

[img] Text

Download (3879Kb)
Text (Published Version)

Download (2047Kb) | Preview
Text (Documentation)

Download (895Kb) | Preview


Natural disaster mitigation is a collective effort of; forecast, assessment, and encouraging the public participation in rescue and damage recovery efforts. This study focused on the rarely addressed aspect, 'the
value of public awareness' in disaster mitigation. The methodology used satellite data and Geographic Information Systems (GIS) to produce semi-real-time 'Media-GIS' contents. The methodology to produce Media-GIS contents is based on, basic fundamentals of GIS, free satellite images, and information extracted from Google Earth. Hence contents carry inherent characters of GIS but significantly different from conventional graphics in media. Also the graphical variables like, size, value, texture, hue, orientation, and shape, were optimized to match with target content users (age group, social group) and medium (print, TV, WEB, mobile), while minimizing the cost. With the news breaks of the disaster, MODIS (250m) satellite data can be extracted in GeoTIFF and KLM (Keyhole Markup Language) formats. The KML file was overlayed on Google Earth, to extract spatial information of the disaster site. Then, in ArcGIS environment, GeoTIFF file can be transferred into Photoshop for production of the graphical image map content. This Photoshop content is suitable to use independently or can be converted to KML files in ArcGIS. The resulted KLM file is the GIS media content for TV, WEB, mobile contents, or for print media, which support to increase the public awareness of the disaster. Two cases studies; Brisbane flood disaster occurred in early 2011 and the ongoing disastrous flood in Bangkok, are presented in the study.

Statistics for USQ ePrint 23001
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright 2012 The authors.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 01 Aug 2013 04:18
Last Modified: 25 May 2017 00:46
Uncontrolled Keywords: disaster mitigation; media-GIS; MODIS; semi-real-time; mobile contents; Photoshop
Fields of Research : 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: D Environment > 96 Environment > 9610 Natural Hazards > 961099 Natural Hazards not elsewhere classified

Actions (login required)

View Item Archive Repository Staff Only