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/ | ||||||
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Document Type: | Thesis (Master's) | ||||||
Title: | Delimiting the Central Business District – A physical analysis using Remote Sensing | ||||||
Authors: |
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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 - Earth Observation | ||||||
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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