Automatically Georeferenced Maps as a Source for High Resolution Urban Growth Analyses
نویسندگان
چکیده
This paper addresses the automation of georeferencing topographic maps for the operational acquisition of spatiotemporal data on urban growth. The achieved automation of this process helps to overcome some issues and hindrances of costly manual data preparation and, thus, enables high resolution monitoring and GIS-based analyses of urban dynamics on a regional and, even, national level. Despite temporal and spatial uncertainties inherent to topographic maps, initial results indicate great potential for the obtained information. The data has proven valuable for quantitatively measuring and visualizing the creeping, but persistent, process of urban sprawl. Possible fields of application involve high resolution monitoring of land take with regards to sustainable development, the exploration of settlement patterns over time, and the quantitative validation of urban spatial growth models.
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