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Use of 3D Visualization in Natural Disaster Risk Assessment for Urban Areas

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Visualization is the graphical presentation of information, with the goal of improving the viewer understands of the information contents. As today’s world is getting richer in information, visualization of the information is important for effective communication and decision making. The basic objective of the study is to create effective 3D visualization tools for earthquake vulnerability level of each building by using the 3D visualization methodologies of Geographic Information Systems (GIS), Remote Sensing (RS) and Computer Aided Design (CAD) systems. Two separate 3D city models are created, the first one is developed by using GIS and RS technologies and the other one is created in CAD environment. 1/25.000 scale digital elevation contour maps, stereo satellite images, building facade images and 2D layers of the study area are used to create these models. The study area is the Cumhuriye Quarter of Eskisehir City, Turkey, where a spatial decision support system (SDSS) for earthquake risk assessment is developed. The process of 3D city model generation in GIS/RS is divided into two main parts; the first part is related to the processing of satellite images, and the second part consists of the vector layer operations. In CAD environment, 2D building foot print layer is used, after extrude operations; building facade images are covered extruded buildings by using texture mapping tools. The developed city models form one of the components of SDSS for Eskisehir. The results of social and building vulnerability analyses are visualized on the 3D city model to support earthquake risk assessment analyses.

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© 2006 Springer-Verlag Berlin Heidelberg

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Kemec, S., Duzgun, H.S. (2006). Use of 3D Visualization in Natural Disaster Risk Assessment for Urban Areas. In: Abdul-Rahman, A., Zlatanova, S., Coors, V. (eds) Innovations in 3D Geo Information Systems. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36998-1_43

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