Estimating Floor Area Ratio of Urban Buildings Based on the QuickBird Image

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Abstract:

Floor area ratio (FAR) is fundamentally important for urban economic development and for urban design, planning and management. This paper tried to enhance the texture information of the QuickBird image by using HIS and PCA transform methods in Yiwu city as a case study. An object-based method was proposed to process the enhanced QuickBird image for the shadow of buildings and building object areas, and the building heights were accurately calculated based on the shadow of buildings. The building object areas and heights were integrated with an administrative district map in Yiwu city to estimate FAR. Tests with this above method demonstrated excellent accuracy in terms of FAR estimation. The high spatial resolution images have great potential in quickly and accurately estimating FAR, providing a scientific basis to policy makers and urban planners.

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Periodical:

Advanced Materials Research (Volumes 450-451)

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614-617

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Online since:

January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] B.L. Yu, H.X. Liu, J.P. Wu, Y.J. Hu, L. Zhang., 2010. Automated derivation of urban building density information using airborne LiDAR data and object-based method. Landscape and Urban Planning, 98: 210-219.

DOI: 10.1016/j.landurbplan.2010.08.004

Google Scholar

[2] S. Lhomme, D.C. He, C. Weber, D. Morin., 2009. A new approach to building identification from very-high-spatial-resolution images. International Journal of Remote Sensing, 30, 1341-1354.

DOI: 10.1080/01431160802509017

Google Scholar

[3] A. Luckman, W. Grey., 2003. Urban building height variance from multibaseline ERS coherence. IEEE Transactions on Geoscience and Remote sensing, 41: 2022-2025.

DOI: 10.1109/tgrs.2003.815236

Google Scholar

[4] X.P. Han, J.G. Xu, X.M. Fu, 2005. A study on estimating urban FAR based on high-resolution satellite images-A case study on Shanghai. Remote Sensing Information, 2: 24-28. (in Chinese with English abstract)

Google Scholar

[5] B. Liao, X. Han, J. Xu., 2007. Estimating floor area ratio based on SRTM3 and land use data. In: Paper Presented at the Geoinformatics 2007: Geospatial Information Science (Proc. SPIE), Nanjing.

DOI: 10.1117/12.761932

Google Scholar

[6] X.H. Li, X.Q. Huang, T.H Chi., 1993. Computation of solar elevations and azimuths at pixels of satellite image. Acta Geodetica et Cartographica Sinica, 22:149-154. (in Chinese with English abstract)

Google Scholar