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Author (up) Jeff Maunder pdf  openurl
  Title The Geospatial Intelligence Continuum during Sudden Onset Disaster Response Type Conference Article
  Year 2018 Publication Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018  
  Volume Issue Pages 246-253  
  Keywords USAR, DART GeoInt, Geo-Spatial, Intelligence  
  Abstract This document will discuss the current methodologies used by New Zealand DART and USAR teams to collect manage, analyse and report on information gathered during the initial and subsequent phases of deployments to a sudden onset disaster (SOD). This will include some of the experiences that have formed the current methodology and the outcomes of disaster events with new methodologies applied. It will further identify and discuss the current systems and processes in place and how they have come about, and then identify a range of opportunities and issues that exist within the Geospatial Intelligence environment to be more effective, both in systems and the development of partnerships to enhance the usability and intuitive nature of these systems and methods. Finally, the discussion will look to identify a future state for responders to SOD's and the ability and outcomes of proposed and imagined future systems, leveraging off the current Esri packages to provide a starting platform and a desired end state.  
  Address Fire and Emergency New Zealand  
  Corporate Author Thesis  
  Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Track Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making Expedition Conference  
  Notes Approved no  
  Call Number Serial 1656  
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