Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/7355
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Wu, H | - |
dc.creator | Sun, Y | - |
dc.creator | Shi, W | - |
dc.creator | Chen, X | - |
dc.creator | Fu, D | - |
dc.date.accessioned | 2015-11-10T08:32:54Z | - |
dc.date.available | 2015-11-10T08:32:54Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/7355 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.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/). | en_US |
dc.rights | 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 | en_US |
dc.subject | Urban land use | en_US |
dc.subject | Spatial pattern | en_US |
dc.subject | Fractal methods | en_US |
dc.subject | Remote sensing imagery | en_US |
dc.subject | Lacunarity dimension | en_US |
dc.subject | Wuhan | en_US |
dc.title | Examining the satellite-detected urban land use spatial patterns using multidimensional fractal dimension indices | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 5152 | - |
dc.identifier.epage | 5172 | - |
dc.identifier.volume | 5 | - |
dc.identifier.issue | 10 | - |
dc.identifier.doi | 10.3390/rs5105152 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Remote sensing, 2013, v. 5, no. 10, p. 5152-5172 | - |
dcterms.isPartOf | Remote sensing | - |
dcterms.issued | 2013 | - |
dc.identifier.scopus | 2-s2.0-84887546024 | - |
dc.identifier.eissn | 2072-4292 | - |
dc.identifier.rosgroupid | r72509 | - |
dc.description.ros | 2013-2014 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wu_Examining_Satellite-detected_Urban.pdf | 1.68 MB | Adobe PDF | View/Open |
Page views
144
Last Week
2
2
Last month
Citations as of Apr 14, 2024
Downloads
148
Citations as of Apr 14, 2024
SCOPUSTM
Citations
23
Last Week
0
0
Last month
0
0
Citations as of Apr 19, 2024
WEB OF SCIENCETM
Citations
21
Last Week
0
0
Last month
0
0
Citations as of Apr 18, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.