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Delimiting Central Business Districts - A physical approach using remote sensing

Taubenböck, Hannes and Klotz, Martin and Wurm, Michael and Schmieder, J and Wagner, B and Esch, Thomas (2013) Delimiting Central Business Districts - A physical approach using remote sensing. In: Proceedings of the JURSE 2013, pp. 17-20. Joint Urban Remote Sensing Event (JURSE), 21.-23. April 2013, Sao Paulo, Brasilien.

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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 largearea 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%.

Item URL in elib:https://elib.dlr.de/82279/
Document Type:Conference or Workshop Item (Speech)
Title:Delimiting Central Business Districts - A physical approach using remote sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Klotz, MartinUNSPECIFIEDUNSPECIFIED
Wurm, Michaelmichael.wurm (at) dlr.deUNSPECIFIED
Schmieder, J Munich ReUNSPECIFIED
Wagner, B Munich Re UNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Date:21 April 2013
Journal or Publication Title:Proceedings of the JURSE 2013
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 17-20
Status:Published
Keywords:Central Business District, Urban Remote Sensing, Classification, Digital Surface Model, Landsat, Cartosat-1, Structure types
Event Title:Joint Urban Remote Sensing Event (JURSE)
Event Location:Sao Paulo, Brasilien
Event Type:international Conference
Event Dates:21.-23. April 2013
Organizer:INPE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:04 Jun 2013 16:45
Last Modified:31 Jul 2019 19:40

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