Virtual 3D Mapping and Investigation about Remote Sensing Data

International Journal of Geoinformatics and Geological Science

© 2014 by SSRG - IJGGS Journal

Volume 1 Issue 2

Year of Publication : 2014

Authors : Florence, Georgiana

10.14445/23939206/IJGGS-V1I3P102

How to Cite?

Florence, Georgiana, "Virtual 3D Mapping and Investigation about Remote Sensing Data," SSRG International Journal of Geoinformatics and Geological Science, vol. 1,  no. 2, pp. 14-18, 2014. Crossref, https://doi.org/10.14445/23939206/IJGGS-V1I3P102

Abstract:

With the rapid growth of urbanization, conception in the three-dimensional feature is attainment more importance nowadays? 3D modeling and visualization procedures help in decision making process to recognize the third dimensional features in cities. Developers, urban designers, landscape architects and other planning professionals use electronic visualization techniques to encourage the involvement of public in urban planning. Aerial and Satellite images can be used to produce 3D models, but they cannot give a realistic feel due to the deficiency of texture information. The impartial of this study is to build a 3D model along with texture information using presently available software tools and to make it freely accessible for the public. High resolution satellite data are useful for 3D mapping and analysis. In the present study, field photographs and satellite images are used to create 3D database of few iconic buildings in Bangalore city. Satellite images are used to identify the georeferenced foot-print of the buildings or features. The conniving and creation of 3D database is carried out using Sketch up software tools. Texture material is added from the photographs to get a realistic feel of the 3D building. The 3D features are envisioned in Arc scene using Digital Elevation Model (DEM) and orthorectified high resolution Satellite data. Further, techniques have been employed to create a 3D cadaster proto-type for visualization of vertical growth of buildings. Line of sight and shadow analysis was carried out using the 3D model analyst toolbar in Arc scene for understanding the potential of this technology for discovering security cameras.

Keywords:

Field photography, Texture, DEM, 3D cadaster, Line of sight analysis, Shadow analysis.

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