Paper
8 March 1996 Use of interactive immersive visualization techniques for natural resources management
Ian D. Bishop, Chris Karadaglis
Author Affiliations +
Proceedings Volume 2656, Visual Data Exploration and Analysis III; (1996) https://doi.org/10.1117/12.234662
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
Natural resources management typically requires prediction of environmental changes over long time periods. In the case of forest management, for example, decisions can affect timber production, water catchment properties, recreational values, aesthetic values, energy usage or employment opportunities. This paper presents an application of advanced visualization techniques in combination with a geographic information system and linear programming in this context. The emphasis is on provision of visual feedback on the outcome of decision options. This main interactive window include a 3D view of the management area based initially on remote sensing imagery draped on a digital terrain model. Also on screen are a slider for time (from the present to 200 years hence), and sliders for decision variables such as required job support level, extent of habit conservation or catchment performance. As the time, or the decision variables are altered by the user the result is presented through replacement of textures in the 3D view to represent the changes in land cover. Initially the visualization is based on prior modeling in a well-defined decision space. The system reads model output in ARC/INFO export format while interactive visualization is based on the Silicon Graphics Performer Toolkit.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ian D. Bishop and Chris Karadaglis "Use of interactive immersive visualization techniques for natural resources management", Proc. SPIE 2656, Visual Data Exploration and Analysis III, (8 March 1996); https://doi.org/10.1117/12.234662
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Cited by 7 scholarly publications.
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KEYWORDS
Visualization

Visual process modeling

Geographic information systems

Data modeling

3D modeling

Process modeling

Motion models

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