Expansion of Urbanization Based on Remote Sensing Technology Research to Zhengzhou City as an Example

Abstract:

Taking the region around Zhengzhou as a study area, the urban building information was extracted from TM images of 2006 and 2010 through the decision tree method. On the whole, the result of extraction is satisfactory. The overall quality coefficients of urban building information were all above 0. 89. From 2006 to 2010, the area of urban building has increased from 196.2 km2 to 279.5 km2; a net increase ratio of the urban building in the study area was 42.4%. Urban building has presented the trend of expansion from the center of the city. The main direction of expansion in the west and northeast whiles the expansion in the other directions evenly. The factors of traffic, population, economic were thought to be the most important driving force of urban expansion.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 4242-4245
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.4242
• Online since: May 2014
• Authors: Yu Fu*, Jun Zhuo Wu
• Keywords: Remote Sensing, Urban Sprawl

References

[1] X. Li, J. Ye: use remote sensing monitoring and analysis of the pearl river delta urban expansion process. Journal of geographical research, Vol. 4 (1997), pp.56-62.

[2] S. Q. Zhang, C. Chen and E. Q. Wang: Sanjiang plain wetland remote sensing classification research. Journal of remote sensing technology and applications, Vol. 14 (1999) No. 1, pp.54-58.

[3] C. J. Yang, C. H. Zhou: The residents of the TM image information extraction method research. Journal of remote sensing, Vol. 4 (2000) No. 2, pp.146-150.

[4] Barry Haack, Nevin Bryant: An assessment of LandsatMSS and TM data for urban and near-urban land-cover digital classification. Remote Sensing of Environment, Vol. 221 (1987), pp.201-213.

DOI: 10.1016/0034-4257(87)90053-8

[5] Simard M, Sansan S S, De Grandi G, et al.: The use of decision tree and multiscale texture for classification of JERS2 1SAR data over tropical forest. IEEE Transactions on Geosciences and Remote Sensing, Vol. 38 (2000) No. 5, pp.2310-2321.

DOI: 10.1109/36.868888

[6] J. B. Sun, X. L. Liu and J. Li: Multi-source remote sensing image fusion. Journal of remote sensing, Vol. 2 (1998) No. 1, pp.47-50.

[7] McFeeters S K: The use of normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, Vol. 17 (1996) No. 7, pp.1425-1432.

DOI: 10.1080/01431169608948714

[8] H. Q. Xu: By using the improved normalized difference water index (MNDWI) to extract water body information research. Journal of remote sensing, Vol. 9 (2005) No. 5, pp.589-595.

[9] Y. Cha, S. X. Ni: An effective way of using TM images of Urban Land. Automatically Extract Sensing, Vol. 7 (2003) No. 1, pp.37-41.