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Delimiting the Central Business District – A physical analysis using Remote Sensing

Klotz, Martin (2012) Delimiting the Central Business District – A physical analysis using Remote Sensing. Master's, King's College London.

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Abstract

Central Business Districts (CBDs) are important for the functional arrangement of cities and urban risk analysis, however, past research underscores the importance of their spatial delineation. This dissertation presents a conceptual framework to define this urban structure type using physical parameters, and a transferable method to detect and delineate CBDs from a combination of Cartosat-1 high resolution digital surface models and multispectral Landsat images. Applying the method to three European megacities, CBDs are detected with a producer accuracy of 75.71% and spatially delineated with overall accuracies exceeding 82.97%. Cross-city comparison paints a characteristic picture of the spatial CBD configuration.

Item URL in elib:https://elib.dlr.de/82418/
Document Type:Thesis (Master's)
Title:Delimiting the Central Business District – A physical analysis using Remote Sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Klotz, MartinUNSPECIFIEDUNSPECIFIED
Date:2012
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:102
Status:Published
Keywords:Remote sensing, CBD, Cartosat, urban structure type, 3-D models
Institution:King's College London
Department:Department of Geography
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Klotz, Martin
Deposited On:02 Jun 2013 20:40
Last Modified:31 Jul 2019 19:40

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