Abstract
This contribution presents an approach for generating and modelling spatially referenced, multi-dimensional urban models from remote sensing data for regions where no reliable reference data are available. The focus is on a modular service-oriented process chain covering the entire process from data acquisition to effective web-based visualization, addressing raw data, preprocessing, management, spatial analyses, visualisation and applications. The use case, investigated in the framework of a EU-funded multidisciplinary R+D project, is the cityspace of East Jerusalem (about 190 about 190 sqkm). Due to the controversial geopolitical situation, usable and high-resolution reference data of the complex, granular urban fabric is unavailable. Hence very high-resolution stereo aerial images (571 pcs. à 10 cm GSD) were acquired and photogrammetrically processed to build a high-resolution 3D reference point cloud. Corresponding semantic data from various sources and household surveys (3,500 pcs.) specially conducted were integrated into the data and managed within a unified, fully-referenced 3D database (open-source). The resulting virtual urban 3D model includes functionalities for geospatial exploration and analysis, allowing spatio-temporal applications, such as land use/management, social/technical infrastructure, or tourism for documentation, information, education as well as decision-making. It addresses both the local civil society and, through specific functions, urban planners and decision makers. Analysis and interaction functionalities are provided in a user-oriented and application-related framework, taking into account effective visualisation (cartographic and visual gestalt principles). The independent spatial reference of a multiscale grid is used for spatial analyses and visualisation purposes. The generic construction of the dedicated virtual cityspace allows for the transferability of results.
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Acknowledgements
The work discussed here is part of a larger R+D project on East Jerusalem with Palestinian, East Jerusalem, and NGO partners funded by the European Union. Part of this research work is supported by a PhD grant from the HPI Research School and the Chair of the Computer Graphics Systems department for Service-Oriented Systems Engineering at the Hasso Plattner Institute for Digital Engineering, University of Potsdam. The funding of both institutions is gratefully acknowledged.
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Fricke, A., Döllner, J., Asche, H. (2022). A Virtual 3D City Model for Urban Planning and Decision-Making - The East Jerusalem Case. In: Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science, vol 13376. Springer, Cham. https://doi.org/10.1007/978-3-031-10450-3_11
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