Geoinformation for Disaster and Risk Management - ISPRS

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damage, together with major effects that are obscured from overhead viewing such as soft storey collapses. A detailed street-view perspective captured using tools like the VIEWS data collection system designed by ImageCat (www.imagecatinc.com ) in collaboration with MCEER (www.mceer.buffalo.edu), fills these information gaps. VIEWS is a notebook-based field data collection and visualization system. It integrates pre- and postdisaster remote sensing imagery with real-time GPS (Global Positioning System) readings and map layers, and operates in conjunction with a high-definition video (HDV) digital camera and digital video recorder. The VIEWS system was first deployed for earthquake field reconnaissance following the December 2003 Bam (Iran) earthquake (Adams et al., 2004), and has since been utilised following events including the Indian Ocean tsunami and the 2008 Wenchuan earthquake. Conclusion Within the risk management arena, to date, the research focus of remote sensing and GIS has generally been on engineering aspects of urban inventory. Nevertheless, faced with increasing human losses from natural disasters as urban populations expand, the global research community is beginning to recognise the potential of these technologies for estimating socio-economic parameters. It can concluded that with the goal of minimising future human suffering and loss, information on population and its distribution is one of the most crucial parameters for resilient disaster 94 Management. The case study of Ahmedabad demonstrates that population data for different spatial levels, as well as information on the data source and associated metadata are scarce, expensive or unavailable. Initial results indicate that a tiered conceptual framework provides a transparent and consistent system for estimating population at different levels. Implementation of the framework described is currently being completed and initial results are expected in early 2010. Remote sensing and GIS are also increasingly being used for inventory data development and disaster response within the re/insurance and humanitarian Figure 4: Virtual Disaster Viewer post-earthquake damage assessment for the 2008 Wenchuan event, simultaneously conducted by more than 100 experts located in Universities, Research Organisations and Companies around the World. information systems for first responders such as InLET and the Virtual Disaster Viewer (VDV), which enables rapid data development and sharing in the direct aftermath of an event. Initiatives such as the International Charter provide remote sensing-based situation assessment and damage information to authorised users and nations affected by disasters. For a complete picture, aerial and satellite imagery may need to be augmented with street-view information acquired using systems such as VIEWS.
GIS for Emergency Management DIntroduction Mark Cygan*, Tom Patterson** *map, chart, data production and spatial data infrastructure manager, ESRI **Wildland Fire Specialist, ESRI �Devastating natural disasters mean there is a great mandate for collaboration among agencies and nations. Geographic information system (GIS) technology is a powerful data management tool that strings together unconnected data sources for quicker analysis, organization, and sharing of information. Not only does GIS provide a graphic user interface that enables the user to quickly navigate through geospatial data, including complex three-dimensional datasets, it also enables organizations to visualize and maintain overall situational awareness during normal operations and emergencies. �GIS is a flexible technology enabling full integration with other information systems. Linking people, processes, and information together and being able to access that information at command centers and out in the field, are strengths GIS offers agencies as they respond to events. Following are three examples of GIS use in a variety of natural disasters. Figure 1: Bushfires in the Kinglake Complex Figure-1: Risk Cycle Diagram (source: GMES) 95
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Joint Board of Geospatial Informati
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Preface Each year, disasters arisin
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Introduction National governments,
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Chapter 6, 7, 8 and 9 demonstrate s
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Table of Contents Preface by UN Off
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TIntroduction Global Disaster Alert
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Three ingredients for success Multi
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Example 2009 Typhoons in South-East
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NIntroduction Flood Mapping in Supp
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The aforementioned data belongs to
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Dissemination Dissemination process
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Detection and Monitoring of Wildfir
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Active Fire Products with Fire Radi
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In-Orbit Verification of On-board F
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Up-to-date thematic and baseline sp
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22 Data Details Relevance to disast
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The Benefit of High Resolution Aeri
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Delays, due to security clearance a
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Determination of the benefit of use
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Earthquake damage assessment using
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Available remotely sensed data Time
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priority. The updated large scale r
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Discussion and conclusions The Hait
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The characteristics of the earthqua
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Image acquisition Within two hours
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Page 64 and 65: Daily PM2.5 concentrations from Apr
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Page 113 and 114: REFERENCES Adams, B.J., Huyck, C.K.
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Page 155 and 156: IMPORTANT EXTERNAL PARTNERSHIPS The
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