DocumentCode :
614206
Title :
Delimiting central business districts — A physical approach using remote sensing
Author :
Taubenbock, Hannes ; Klotz, Martin ; Wurm, Michael ; Schmieder, J. ; Wagner, Bernardo ; Esch, Thomas
Author_Institution :
German Remote Sensing Data Center (DFD), German Aerosp. Center (DLR), Wessling, Germany
fYear :
2013
fDate :
21-23 April 2013
Abstract :
Central Business Districts (CBDs) are an apparent structural type of large cities. Although the conceptual definition of CBDs is mostly functional, this urban structure type has characteristic physical features. The paper presents a conceptual framework to map these CBDs using physical parameters. We identify physical parameters from the published literature and statistically designate the CBD from a 3-D city model by the example of the test site La Defense, Paris, France. From it, we develop a method to detect CBDs from a combination of large-area Cartosat-1 high resolution digital surface models for the entire spatial extent of mega city Paris. Accuracy assessment shows that CBDs are detected with an accuracy of 83.3% and are spatially delineated with an overall accuracy of 83.7%.
Keywords :
remote sensing; 3-D city model; delimiting central business districts-A; digital surface models; large-area Cartosat-1 high resolution; physical approach; physical parameters; remote sensing; spatial extent; Accuracy; Buildings; Business; Cities and towns; Remote sensing; Solid modeling; Urban areas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2013 Joint
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4799-0213-2
Electronic_ISBN :
978-1-4799-0212-5
Type :
conf
DOI :
10.1109/JURSE.2013.6550655
Filename :
6550655
Link To Document :
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