Share Email Print

Proceedings Paper

Urban structure analysis of mega city Mexico City using multisensoral remote sensing data
Author(s): H. Taubenböck; T. Esch; M. Wurm; M. Thiel; T. Ullmann; A. Roth; M. Schmidt; H. Mehl; S. Dech
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Mega city Mexico City is ranked the third largest urban agglomeration to date around the globe. The large extension as well as dynamic urban transformation and sprawl processes lead to a lack of up-to-date and area-wide data and information to measure, monitor, and understand the urban situation. This paper focuses on the capabilities of multisensoral remotely sensed data to provide a broad range of products derived from one scientific field - remote sensing - to support urban managing and planning. Therefore optical data sets from the Landsat and Quickbird sensors as well as radar data from the Shuttle Radar Topography Mission (SRTM) and the TerraSAR-X sensor are utilised. Using the multi-sensoral data sets the analysis are scale-dependent. On the one hand change detection on city level utilising the derived urban footprints enables to monitor and to assess spatiotemporal urban transformation, areal dimension of urban sprawl, its direction, and the built-up density distribution over time. On the other hand, structural characteristics of an urban landscape - the alignment and types of buildings, streets and open spaces - provide insight in the very detailed physical pattern of urban morphology on higher scale. The results show high accuracies of the derived multi-scale products. The multi-scale analysis allows quantifying urban processes and thus leading to an assessment and interpretation of urban trends.

Paper Details

Date Published: 10 October 2008
PDF: 12 pages
Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71100E (10 October 2008); doi: 10.1117/12.800272
Show Author Affiliations
H. Taubenböck, German Aerospace Ctr. (Germany)
Univ. of Würzburg (Germany)
T. Esch, Univ. of Würzburg (Germany)
M. Wurm, German Aerospace Ctr. (Germany)
Univ. of Würzburg (Germany)
M. Thiel, Univ. of Würzburg (Germany)
T. Ullmann, Univ. of Würzburg (Germany)
A. Roth, German Aerospace Ctr. (Germany)
M. Schmidt, German Aerospace Ctr. (Germany)
Univ. of Würzburg (Germany)
H. Mehl, German Aerospace Ctr. (Germany)
S. Dech, German Aerospace Ctr. (Germany)
Univ. of Würzburg (Germany)

Published in SPIE Proceedings Vol. 7110:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII
Ulrich Michel; Daniel L. Civco; Manfred Ehlers; Hermann J. Kaufmann, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?