Special Section on Remote Sensing for Coupled Natural Systems and Built Environments

Detection of urban expansion in an urban-rural landscape with multitemporal QuickBird images

[+] Author Affiliations
Dengsheng Lu, Scott Hetrick, Emilio Moran, Guiying Li

Indiana University, Anthropological Center for Training and Research on Global Environmental Change, Student Building 331, Bloomington, Indiana 47405

J. Appl. Remote Sens. 4(1), 041880 (September 23, 2010). doi:10.1117/1.3501124
History: Received July 3, 2010; Revised September 3, 2010; Accepted September 14, 2010; September 23, 2010; Online September 23, 2010
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Abstract

Accurately detecting urban expansion with remote sensing techniques is a challenge due to the complexity of urban landscapes. This paper explored methods for detecting urban expansion with multitemporal QuickBird images in Lucas do Rio Verde, Mato Grosso, Brazil. Different techniques, including image differencing, principal component analysis (PCA), and comparison of classified impervious surface images with the matched filtering method, were used to examine urbanization detection. An impervious surface image classified with the hybrid method was used to modify the urbanization detection results. As a comparison, the original multispectral image and segmentation-based mean-spectral images were used during the detection of urbanization. This research indicates that the comparison of classified impervious surface images with matched filtering method provides the best change detection performance, followed by the image differencing method based on segmentation-based mean spectral images. The PCA is not a good method for urban change detection in this study. Shadows and high spectral variation within the impervious surfaces represent major challenges to the detection of urban expansion when high spatial resolution images are used.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Dengsheng Lu ; Scott Hetrick ; Emilio Moran and Guiying Li
"Detection of urban expansion in an urban-rural landscape with multitemporal QuickBird images", J. Appl. Remote Sens. 4(1), 041880 (September 23, 2010). ; http://dx.doi.org/10.1117/1.3501124


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