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New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data

Taubenböck, Hannes and Wiesner, Michael and Felbier, Andreas and Marconcini, Mattia and Esch, Thomas and Dech, Stefan (2014) New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data. Applied Geography, 47, pp. 137-157. Elsevier. DOI: http://dx.doi.org/10.1016/j.apgeog.2013.12.002 ISSN 0143-6228

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Official URL: http://www.sciencedirect.com/science/article/pii/S0143622813002786

Abstract

Currently our world is facing a migration process of a huge dimension – from rural to urban areas. In 1975 37.7% of the global population were urban dwellers, 1990 already 43%, today little over 50%, and in 2050 the expected number is 67.2%. This great process shapes new spatial urban landscapes, in dimension and pattern. In this study we aim at analyzing the spatial evolution of a once polynuclei urban area to a mega-region in a 35 years time frame. Using multi-temporal and multi-source satellite data we classify urban footprints of a mega-region – the Hong Kong–Shenzhen–Guangzhou mega-region in Southern China – for the years 1975, 1990, 2000 and 2011. Based on this geospatial data set we aim at turning the qualitative and fuzzy definitions of mega-regions into a physical concept. Furthermore, we suggest a set of spatial features potentially characteristic for the evolution of mega-regions. In particular we apply and develop a multiude of spatial metrics at three spatial levels, namely the entire mega-region, the hinterlands between different cities and the cities themselves. The result is a novel spatial approach to capture, measure and analyze new shapes of urban landscapes.

Item URL in elib:https://elib.dlr.de/88048/
Document Type:Article
Title:New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Wiesner, Michaelmichael.wiesner (at) dlr.deUNSPECIFIED
Felbier, Andreasandreas.felbier (at) dlr.deUNSPECIFIED
Marconcini, MattiaMattia.Marconcini (at) dlr.deUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:1 February 2014
Journal or Publication Title:Applied Geography
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:47
DOI :http://dx.doi.org/10.1016/j.apgeog.2013.12.002
Page Range:pp. 137-157
Editors:
EditorsEmail
Gatrell, JayUNSPECIFIED
Publisher:Elsevier
ISSN:0143-6228
Status:Published
Keywords:Mega-region; Remote sensing; Spatial metrics; Spatial patterns; Multi-temporal development; Hong Kong–Shenzhen–Guangzhou; Mega-city
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 Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
German Remote Sensing Data Center > Land Surface
Deposited By: Taubenböck, Dr. Hannes
Deposited On:05 Feb 2014 13:55
Last Modified:05 Feb 2014 13:55

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