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ISPRS Int. J. Geo-Inf. 2018, 7(4), 135; doi:10.3390/ijgi7040135

A Novel Approach for Identifying Urban Built-Up Area Boundaries Using High-Resolution Remote-Sensing Data Based on the Scale Effect

1
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100101, China
*
Authors to whom correspondence should be addressed.
Received: 7 March 2018 / Revised: 21 March 2018 / Accepted: 26 March 2018 / Published: 1 April 2018
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Abstract

Identifying urban built-up area boundaries is critical to urban data statistics, size measurement, and spatial control. However, previous methods of extracting urban built-up area boundaries based on low-resolution remote-sensing data are frequently constrained by data accuracy. In this paper, a new method for extracting urban built-up area boundaries using high-resolution remote sensing images based on scale effects is proposed. Firstly, we generate a number of different levels of edge-multiplied hexagonal vector grids. Secondly, the impervious surface densities are calculated based on the hexagonal vector grids with the longest edge. Then, the hexagonal grids with higher impervious surface densities are extracted as the built-up area of the first level. Thirdly, we gradually reduce the spatial scale of the hexagonal vector grid and repeat the extraction process based on the extracted built-up area in the previous step. Eventually, we obtain the urban built-up area boundary at the smallest scale. Plausibility checks indicate that the suggested method not only guarantees the spatial continuity of the resultant urban built-up area boundary, but also highlights the prevailing orientation of urban expansion. The extracted Beijing built-up area boundary can serve as a reference in decision-making for space planning and land-use control. View Full-Text
Keywords: urban built-up area; boundary identification; scale effect; hexagonal vector grid; impervious surfaces; natural breaks; high-resolution remote sensing data; Beijing urban built-up area; boundary identification; scale effect; hexagonal vector grid; impervious surfaces; natural breaks; high-resolution remote sensing data; Beijing
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Zhou, Y.; Tu, M.; Wang, S.; Liu, W. A Novel Approach for Identifying Urban Built-Up Area Boundaries Using High-Resolution Remote-Sensing Data Based on the Scale Effect. ISPRS Int. J. Geo-Inf. 2018, 7, 135.

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