A Hybrid Approach to Disseminate Large Volume Sensor Data for Monitoring Global Change

  • Theodor FoersterEmail author
  • Albert Remke
  • Georg Kaspar
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


Monitoring global change is one of the major challenges in the twenty first century. It requires accessing large volumes of various data, collected by a multitude of remote and in situ sensors. Various approaches (file-based, service-based and satellite-based) have demonstrated significant disadvances, which can be concluded as inappropriate. In this article, we describe a hybrid approach using a satellite-based system for accessing sensor data on distributed nodes and then disseminating the data on the web through web services. The approach is demonstrated based on the satellite-dissemination system of GEONETCast using two use cases for raster-based (MSG-2) and feature-based (MODIS) data.


Hybrid Approach Fire Event Spatial Data Infrastructure Open Geospatial Consortium Geography Markup Language 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The presented work is based on a MSc. study project (title: GEONETCast) in spring 2010 at the Institute for Geoinformatics, University of Muenster, Germany. The contributions of the study project are highly acknowledged.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute for GeoinformaticsUniversity of MuensterMuensterGermany
  2. 2.52°North GmbHMuensterGermany
  3. 3.Center for Digital MediaUniversity of MuensterMuensterGermany

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