elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

The global trend of urbanization – Spatiotemporal analysis of megacities using multitemporal remote sensing, landscape metrics and gradient analysis

Taubenböck, Hannes and Wegmann, Martin and Wurm, Michael and Ullmann, Thomas and Dech, Stefan (2010) The global trend of urbanization – Spatiotemporal analysis of megacities using multitemporal remote sensing, landscape metrics and gradient analysis. In: Proceedings of SPIE Europe Remote Sensing, pp. 1-20. SPIE Europe, 21.-Sep. - 23. Sep. 2010, Toulouse, France.

Full text not available from this repository.

Abstract

Today’s mega cities could serve as good predictors of future urbanization processes in incipient mega cities. Measuring and analysing the past effects of urban growth in the largest category of urban agglomerations aims at understanding spatial dynamics. In this study we use remote sensing, landscape metrics and gradient analysis to measure, quantify, and analyze spatiotemporal effects of massive urbanization in 10 sample mega cities throughout the world. By using time-series of Landsat data, we classify urban footprints since the 1970s. This lets us detect temporal and spatial urban patterns, sprawl and densification processes and various types of urban development. A multi-scale analysis starts at city level using landscape metrics to quantify spatial urban patterns. We relate the metrics, like e.g. landscape shape index, edge density or class area to each other in spider charts. Furthermore, we use gradient analysis to provide insight into spatial pattern development from the urban core to the periphery. The results paint a characteristic picture of spatiotemporal urbanization for the individual mega cites and enable comparison of all cities across the board. Spatial characteristics of urbanization dynamics allow indirectly conclusions on causes or future consequences.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:The global trend of urbanization – Spatiotemporal analysis of megacities using multitemporal remote sensing, landscape metrics and gradient analysis
Authors:
AuthorsInstitution or Email of Authors
Taubenböck, Hanneshannes.taubenboeck@dlr.de
Wegmann, Martinmartin.wegmann@uni-wuerzburg.de
Wurm, Michaelmichael.wurm@dlr.de
Ullmann, Thomasthomas.ullmann@dlr.de
Dech, Stefanstefan.dech@dlr.de
Date:2010
Journal or Publication Title:Proceedings of SPIE Europe Remote Sensing
Refereed publication:No
In ISI Web of Science:No
Page Range:pp. 1-20
Status:Published
Keywords:Urban remote sesning, megacities, change detection, spatial metrics, landscape metrics, gradient analysis, zonal statistics
Event Title:SPIE Europe
Event Location:Toulouse, France
Event Type:international Conference
Event Dates:21.-Sep. - 23. Sep. 2010
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Dr. Hannes Taubenböck
Deposited On:09 Feb 2011 19:24
Last Modified:29 Jul 2013 09:58

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.