TRACK TITLE

Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making

INTRODUCTION TO THE TRACK:

Accurate, adequate and current geospatial and temporal information are essential for effective disaster management at all stages of the disaster lifecycle.  Information about disaster events, impacts and needs is meaningless if their location and time is not reliably known.  Disaster events commonly require access to a range of existing geospatial data sets from multiple sources, presenting both technical (e.g. data formats, standards and semantics) and non-technical (e.g. accessibility) challenges, and sometimes resulting in the need for urgent, targeted data validation and integration to be carried out.  The collection of specific data to address disaster needs may also be required, and due to the unexpected nature and location of disaster, this may need to be done in real time, after a disaster has occurred.

Once suitable geospatial and temporal data have been captured or accessed from other sources, validated and integrated, they may be used to address a wide range of challenges in disaster situations, providing information both to the public (e.g. through social media or dedicated applications) and to disaster managers.  The need to provide effective support for disaster decision making presents a range of opportunities for innovative approaches in spatio-temporal querying, visualization and analysis.

We invite papers under this theme to cover a broad range of topics related to geospatial and temporal information in the disaster management context.

TRACK OBJECTIVES:

The co-chairs of this track invite academics, researchers and professionals to share innovative research, practice and experience showcasing geospatial and temporal information theory and applications in support of disaster decision making.  The use of geospatial and/or temporal information in all stages and aspects of the disaster lifecycle are welcome.

TRACK TOPICS:

  • Spatial and/or temporal data mining and analytics in a disaster context.
  • Geospatial data requirements for disaster events and activities.
  • The application of geospatial analysis techniques in disaster situations.
  • Issues involved in integration of geospatial data from multiple sources for disaster management.
  • Challenges involved in geospatial data capture and availability to support disaster management and decision making.
  • Geospatial semantics and ontologies for disaster and emergency situations.
  • Geospatial intelligence (GEOINT).
  • Geospatial data in support of disaster relief.
  • Geospatial standards in the disaster context.
  • Emergency data interoperability, e.g. EDXL. 
  • Sensors and UAVs for disaster response.
  • Geospatial data and disaster decision support systems.
  • Remote sensing and imagery analysis.
  • The use of UAVs in disaster events.
  • Design and development of geospatial applications for disasters.

TRACK CO-CHAIRS:

Kristin Stock - Coordinating Track Co-Chair
Institute of Natural and Mathematical Sciences, Massey University, New Zealand
K.Stock@massey.ac.nz

Matt Duckham
RMIT University, Australia
matt.duckham@rmit.edu.au