%0 Journal Article %1 bill2022geospatial %A Bill, Ralf %A Blankenbach, Jörg %A Breunig, Martin %A Haunert, Jan-Henrik %A Heipke, Christian %A Herle, Stefan %A Maas, Hans-Gerd %A Mayer, Helmut %A Meng, Liqui %A Rottensteiner, Franz %A Schiewe, Jochen %A Sester, Monika %A Sörgel, Uwe %A Werner, Martin %D 2022 %J PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science %K journal review from:markusenglich %R 10.1007/s41064-022-00217-9 %T Geospatial Information Research: State of the Art, Case Studies and Future Perspectives %U https://doi.org/10.1007/s41064-022-00217-9 %X 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.

@article{bill2022geospatial, 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.}, added-at = {2022-09-20T11:27:47.000+0200}, author = {Bill, Ralf and Blankenbach, Jörg and Breunig, Martin and Haunert, Jan-Henrik and Heipke, Christian and Herle, Stefan and Maas, Hans-Gerd and Mayer, Helmut and Meng, Liqui and Rottensteiner, Franz and Schiewe, Jochen and Sester, Monika and Sörgel, Uwe and Werner, Martin}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20fa06bb79bcaeb4153dff3e820235529/ifp}, doi = {10.1007/s41064-022-00217-9}, interhash = {345eb0d5352319bf54b233dc0d211b9c}, intrahash = {0fa06bb79bcaeb4153dff3e820235529}, issn = {25122819}, journal = {PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science}, keywords = {journal review from:markusenglich}, refid = {Bill2022}, timestamp = {2022-09-20T09:27:47.000+0200}, title = {Geospatial Information Research: State of the Art, Case Studies and Future Perspectives}, url = {https://doi.org/10.1007/s41064-022-00217-9}, year = 2022 }