Paper
7 October 2009 Modeling techniques for gaining additional urban space
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Abstract
One of the major accompaniments of the globalization is the rapid growing of urban areas. Urban sprawl is the main environmental problem affecting those cities across different characteristics and continents. Various reasons for the increase in urban sprawl in the last 10 to 30 years have been proposed [1], and often depend on the socio-economic situation of cities. The quantitative reduction and the sustainable handling of land should be performed by inner urban development instead of expanding urban regions. Following the principal "spare the urban fringe, develop the inner suburbs first" requires differentiated tools allowing for quantitative and qualitative appraisals of current building potentials. Using spatial high resolution remote sensing data within an object-based approach enables the detection of potential areas while GIS-data provides information for the quantitative valuation. This paper presents techniques for modeling urban environment and opportunities of utilization of the retrieved information for urban planners and their special needs.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Holger Thunig, Simone Naumann, and Alexander Siegmund "Modeling techniques for gaining additional urban space", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74781X (7 October 2009); https://doi.org/10.1117/12.830723
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Cited by 1 scholarly publication.
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KEYWORDS
Remote sensing

Geographic information systems

Spatial resolution

Decision support systems

Algorithm development

Data modeling

Earth observing sensors

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