Modelling 3D Topographic Space Against Indoor Navigation Requirements -- Enhancing the Visibility of Labels in 3D Navigation Maps -- Semantic 3D modeling of multi-utility networks in cities for Analysis and 3D visualization -- Generalization and Visualization of 3D Building Models in CityGML -- From the Volumetric Algorithm for Single-Tree Delineation towards a Fully-Automated Process for the Generation of Forests -- A Service-Based Concept for Camera Control in 3D Geovirtual Environments -- Representing 3D topography with a star-based data structure -- Can Topological Pre-Culling of Faces Improve Rendering Performance of City Models in Google Earth? -- Revealing the benefits of 3D topology on under-specified geometries in geomorphology -- Geometric-semantical consistency validation of CityGML models -- Advancing DB4GeO -- Glob3 Mobile: An open source framework for designing Virtual Globes on iOS and Android mobile devices. The integration of the 3rd dimension in the production of spatial representation is largely recognized as a valuable approach to comprehend our reality, that is 3D. During the last decade developments in 3D Geoinformation (GI) system have made substantial progress. We are about to have a more complete spatial model and understanding of our planet in different scales. Hence, various communities and cities offer 3D landscape and 3D city models as valuable source and instrument for sustainable management of rural and urban resources. Also municipal utilities, real estate companies benefit from recent developments related to 3D applications. In order to present recent developments and to discuss future trends, academics and practitioners met at the 7th International Workshop on 3D Geoinformation. This book comprises a selection of evaluated, high quality papers that were presented at this workshop in May 2012. The topics focus explicitly on the last achievements (methods, algorithms, models, systems) with respect to 3D GeoInformation requirements. The book is aimed at decision makers and experts as well at students interested in the 3D component of geographical information science including GI engineers, computer scientists, photogrammetrists, land surveyors, urban planners, and mapping specialists.