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Geospatial Information Research: State of the Art, Case Studies and Future Perspectives

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Authors

  • Ralf Bill
  • Jörg Blankenbach
  • Martin Breunig
  • Jan Henrik Haunert
  • Christian Heipke
  • Franz Rottensteiner
  • Monika Sester
  • Martin Werner

External Research Organisations

  • University of Rostock
  • RWTH Aachen University
  • Karlsruhe Institute of Technology (KIT)
  • University of Bonn
  • Technische Universität Dresden
  • Universität der Bundeswehr München
  • Technical University of Munich (TUM)
  • Universität Hamburg
  • University of Stuttgart
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Details

Original languageEnglish
Pages (from-to)349-389
Number of pages41
JournalPFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
Volume90
Issue number4
Publication statusPublished - Aug 2022

Abstract

Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling, acquiring, sharing, managing, exploring, analyzing, synthesizing, visualizing, and evaluating data on spatio-temporal phenomena related to the Earth. As an interdisciplinary scientific discipline, it focuses on developing and adapting information technologies to understand processes on the Earth and human-place interactions, to detect and predict trends and patterns in the observed data, and to support decision making. The authors – members of DGK, the Geoinformatics division, as part of the Committee on Geodesy of the Bavarian Academy of Sciences and Humanities, representing geodetic research and university teaching in Germany – have prepared this paper as a means to point out future research questions and directions in geospatial information science. For the different facets of geospatial information science, the state of art is presented and underlined with mostly own case studies. The paper thus illustrates which contributions the German GI community makes and which research perspectives arise in geospatial information science. The paper further demonstrates that GI science, with its expertise in data acquisition and interpretation, information modeling and management, integration, decision support, visualization, and dissemination, can help solve many of the grand challenges facing society today and in the future.

Keywords

    Geographic information systems (GIS), Geospatial information sciences, Grand challenges, Research perspectives

ASJC Scopus subject areas

Cite this

Geospatial Information Research: State of the Art, Case Studies and Future Perspectives. / Bill, Ralf; Blankenbach, Jörg; Breunig, Martin et al.
In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Vol. 90, No. 4, 08.2022, p. 349-389.

Research output: Contribution to journalArticleResearchpeer review

Bill, R, Blankenbach, J, Breunig, M, Haunert, JH, Heipke, C, Herle, S, Maas, HG, Mayer, H, Meng, L, Rottensteiner, F, Schiewe, J, Sester, M, Sörgel, U & Werner, M 2022, 'Geospatial Information Research: State of the Art, Case Studies and Future Perspectives', PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, vol. 90, no. 4, pp. 349-389. https://doi.org/10.1007/s41064-022-00217-9
Bill, R., Blankenbach, J., Breunig, M., Haunert, J. H., Heipke, C., Herle, S., Maas, H. G., Mayer, H., Meng, L., Rottensteiner, F., Schiewe, J., Sester, M., Sörgel, U., & Werner, M. (2022). Geospatial Information Research: State of the Art, Case Studies and Future Perspectives. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 90(4), 349-389. https://doi.org/10.1007/s41064-022-00217-9
Bill R, Blankenbach J, Breunig M, Haunert JH, Heipke C, Herle S et al. Geospatial Information Research: State of the Art, Case Studies and Future Perspectives. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 2022 Aug;90(4):349-389. doi: 10.1007/s41064-022-00217-9
Bill, Ralf ; Blankenbach, Jörg ; Breunig, Martin et al. / Geospatial Information Research : State of the Art, Case Studies and Future Perspectives. In: PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 2022 ; Vol. 90, No. 4. pp. 349-389.
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AU - Haunert, Jan Henrik

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