Research Papers

Investigation and comparison of land-cover change patterns in Xuzhou city, China, and Dortmund city region, Germany, using multitemporal Landsat images

[+] Author Affiliations
Cheng Li

TU Dortmund University, Faculty of Spatial Planning, Department of Spatial Information Management and Modelling, August-Schmidt-Strasse 10, 44227 Dortmund, Germany

Nguyen Xuan Thinh

TU Dortmund University, Faculty of Spatial Planning, Department of Spatial Information Management and Modelling, August-Schmidt-Strasse 10, 44227 Dortmund, Germany

J. Appl. Remote Sens. 7(1), 073458 (Dec 23, 2013). doi:10.1117/1.JRS.7.073458
History: Received May 17, 2013; Revised November 19, 2013; Accepted November 25, 2013
Text Size: A A A

Abstract.  Analyzing spatiotemporal characteristics of land-cover (LC) change is important for assessing environmental consequences of urban growth and supporting land management and planning. Less attention, however, has been given to the comparison between land-cover change patterns in developing and developed countries. In this study, Xuzhou city and Dortmund city region were selected as study areas. Multitemporal Landsat images were classified by using the integration method of maximum likelihood classifier, subpixel classifier, and multiple normalized difference vegetation index values based on Vegetation-Impervious Surface-Soil model. Urban growth patterns and processes of the two study areas were investigated and compared through land-cover change detection, buffer analysis, and jaggedness degree. The results indicated that the urban area in Xuzhou city increased more than threefold dramatically from 128.5 to 418.3km2, and the increased sprawling development trend was observed during the study period, while Dortmund city region showed a slight increase from 498 to 715.5km2 in urban areas with an increasingly compact development trend. The results revealed a notable difference of spatiotemporal land-cover pattern dynamics between the two study areas as well as confirmed the effectiveness of the combined method of remote sensing and spatial analysis that can be used to support land management and policy decisions.

Figures in this Article
© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Cheng Li and Nguyen Xuan Thinh
"Investigation and comparison of land-cover change patterns in Xuzhou city, China, and Dortmund city region, Germany, using multitemporal Landsat images", J. Appl. Remote Sens. 7(1), 073458 (Dec 23, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073458


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.