Spatio-temporal aggregates over streaming geospatial image data

  • Authors:
  • Jie Zhang

  • Affiliations:
  • Department of Computer Science, University of California, Davis, CA

  • Venue:
  • EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
  • Year:
  • 2006

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Abstract

Geospatial image data obtained by satellites and aircraft are increasingly important to a wide range of applications, such as disaster management, climatology, and environmental monitoring. Because of the size of the data and the speed at which it is generated, computing spatio-temporal aggregates over geospatial image data is extremely demanding. Due to the special characteristics of the data, existing spatio-temporal aggregation model and evaluation approaches are not suitable for computing aggregates over such data. In this paper, we outline the key challenges of computing spatio-temporal aggregates over streaming geospatial image data, and present three goals of our research work. We also discuss several preliminary results and future research directions.