Vu Gia Thu Bon River Basin Information System (VGTB RBIS)—Managing Data for Assessing Land Use and Climate Change Interactions in Central Vietnam

Part of the Water Resources Development and Management book series (WRDM)


The assessment of land use and climate change interactions requires and produces a lot of different types of data from several disciplines. In order to have a common and web-based platform to manage, share, and present such data in the context of an interdisciplinary international research project, the Vu Gia Thu Bon River Basin Information System (RBIS) was established. The modularly structured information system has a user-friendly interface with full read/write access for the management , linkage, analysis, visualization, and presentation of different types of data in the context of multidisciplinary environmental assessment and planning. Besides the management of metadata, different types of datasets can be managed (e.g., time series data, spatial geodata, documents). Standardized interfaces are provided to enable the exposure and exchange of data with other systems. Here the key features of the system are presented alongside with user related application guidance.



The authors acknowledge the support of the German Ministry of Education and Research which has funded the RBIS development within various research programs (grant numbers 03IP514, 01LL0912, 01LB0801, 01LL0908D, 01LG1201E).


  1. Fink M, Fischer C, Führer N, Firoz A, Viet T, Laux P, Flügel W-A (2013) Distributed hydrological modeling of a monsoon dominated river system in central VietnamGoogle Scholar
  2. GLUES (2013) GLUES‐GDI—Geodata infrastructureGoogle Scholar
  3. GLUES (2016) GLUES Geoportal. Accessed 20 Mar 2016
  4. Henzen C, Mäs S, Zander F, Schroeder M, Bernard L (2016) Representing research collaborations and linking scientific project results in spatial data infrastructures by provenance information (under review). Helsinki, FinlandGoogle Scholar
  5. ISO (2003) International Standard ISO 19115 Geographic information—MetadataGoogle Scholar
  6. jQuery Foundation (2016) jQuery—write less, do more. Accessed 12 Mar 2016
  7. Kralidis T, Tzotsos A (2016) pycsw—Metadata publishing just got easier. Accessed 12 Mar 2016
  8. Kralisch S, Zander F, Krause P (2009) Coupling the RBIS environmental information system and the JAMS modelling framework. In: Anderssen R, Braddock R, Newham L (eds) Proceedings of the 18th World IMACS/and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia, pp 902–908Google Scholar
  9. Laux P, Lorenz C, Thuc T, Ribbe L, Kunstmann H et al (2013) Setting up regional climate simulations for Southeast Asia. In: High performance computing in science and engineering ‘12. Springer, pp 391–406Google Scholar
  10. Lott N (1998) Global surface summary of dayGoogle Scholar
  11. LUCCi consortium (2016) Vu Gia Thu Bon RBIS. Accessed 10 Mar 2016
  12. Nebert D, Whiteside A, Vretanos P (2007) OpenGIS catalogue services specification 2.0.2Google Scholar
  13. Open Source Geospatial Foundation (2016) Welcome to MapServer—MapServer 7.0.1 documentation. Accessed 12 Mar 2016
  14. OpenLayers Contributors (2016) OpenLayers 2. Accessed 12 Mar 2016
  15. Orcale (2016) Oracle VM VirtualBox. Accessed 12 Mar 2016
  16. PostGIS Developers (2016) PostGIS—Spatial and geographic objects for PostgreSQL. Accessed 10 Mar 2016
  17. PostgreSQL Global Development Group (2016) PostgreSQL: the world’s most advanced open source database. Accessed 10 Mar 2016
  18. QGIS community (2016) QGIS als OGC Datenclient. Accessed 6 Apr 2016
  19. WMO (2013) World Weather Watch WMO. Accessed 22 Mar 2013
  20. Zander F (2016) RBIS CSW global search. Accessed 20 Mar 2016
  21. Zander F, Kralisch S (2016) River Basin Information System (RBIS)—open environmental data management for research and decision making. ISPRS Int J Geo-Inf 5:123Google Scholar
  22. Zander F, Kralisch S, Flügel W (2013) Data and information management for integrated research–requirements, experiences and solutions. In: Proceedings of the 20th International Congress on Modelling and Simulation. Adelaide, Australia, pp 1–6Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.Institute of Geography, Friedrich-Schiller University JenaJenaGermany

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