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 | ||||||||
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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