Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7355
Title: Examining the satellite-detected urban land use spatial patterns using multidimensional fractal dimension indices
Authors: Wu, H
Sun, Y
Shi, W 
Chen, X
Fu, D
Keywords: Urban land use
Spatial pattern
Fractal methods
Remote sensing imagery
Lacunarity dimension
Wuhan
Issue Date: 2013
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Remote sensing, 2013, v. 5, no. 10, p. 5152-5172 How to cite?
Journal: Remote sensing 
Abstract: Understanding the spatial patterns of urban land use at both the macro and the micro levels is a central issue in global change studies. Due to the nonlinear features associated with land use spatial patterns, it is currently necessary to provide some distinct analysis methods to analyze them across a range of remote sensing imagery resolutions. The objective of our study is to quantify urban land use patterns from various perspectives using multidimensional fractal methods. Three commonly used fractal dimensions, i.e., the boundary dimension, the radius dimension, and the information entropy dimension, are introduced as the typical indices to examine the complexity, centrality and balance of land use spatial patterns, respectively. Moreover, a new lacunarity dimension for describing the degree of self-organization of urban land use at the macro level is presented. A cloud-free Landsat ETM+ image acquired on 17 September 2010 was used to extract land use information in Wuhan, China. The results show that there are significant linear relationships represented by good statistical fitness related to these four indices. The results indicate that rapid urbanization has substantially affected the urban landscape pattern, and different land use types show different spatial patterns in response. This analysis reveals that multiple fractal/nonfractal indices provides a more comprehensive understanding of the spatial heterogeneity of urban land use spatial patterns than any single fractal dimension index. These findings can help us to gain deeper insight into the complex spatial patterns of urban land use.
URI: http://hdl.handle.net/10397/7355
EISSN: 2072-4292
DOI: 10.3390/rs5105152
Rights: © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
The following publication Wu, H., Sun, Y., Shi, W., Chen, X., & Fu, D. (2013). Examining the satellite-detected urban land use spatial patterns using multidimensional fractal dimension indices. Remote Sensing, 5(10), 5152-5172 is available at http://dx.doi.org/10.3390/rs5105152
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