Abstract
Nowadays, remote sensing imagery, especially with its high spatial resolution, has become an indispensable tool to provide timely up-gradation of urban land use and land cover information, which is a prerequisite for proper urban planning and management. The possible method described in the present paper to obtain urban land use types is based on the principle that land use can be derived from the land cover existing in a neighborhood. Here, moving window is used to represent the spatial pattern of land cover within a neighborhood and seven window sizes (61m×61m, 68m×68m, 75m×75m, 87m×87m, 99m×99m, 110m×110m and 121m×121m) are applied to determining the most proper window size. Then, the unsupervised method of ISODATA is employed to classify the layered land cover density maps obtained by the moving window. The results of accuracy evaluation show that the window size of 99m×99m is proper to infer urban land use categories and the proposed method has produced a land use map with a total accuracy of 85%.
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References
BARNSLEY M J, BARR S L, 1996. Inferring urban land use from satellite sensor using kernel-based spatial reclassification [J]. Photogrammertric Engineering and Remote Sensing, 62(6): 949–958.
HODGSON M E, 1998. What size window for image classification? A cognitive perspective [J]. Photogrammetric Engineering and Remote Sensing, 64(8): 797–807.
HUNG Ming-chih, 2002. Urban land cover analysis from satellite image [EB/OL]. www.isprs.org/commission1/proceedings/paper/00099.pdf
KONTOES C C, RAPTIS V, LAUTNER M, et al., 2000. The potential of kernel classification techniques for land use mapping in urban areas using 5m-spatial resolution IRS-1C imagery [J]. International Journal of Remote Sensing, 21(16): 3145–3151.
LILLESAND T M, KIEFER R W, 2000. Remote Sensing and Image Interpretation [M]. New York: John Wiley & Sons, Inc.
Urban Management Committee of China, 2000. The collection of urban planning law [M]. Beijing: Architecture Industrial Publishing House, 25–30. (in Chinese)
WANG Jin-fei, ZHANG Qiao-feng, 2002. Mapping urban land use from high resolution IKONOS imagery [A]. In: Geoinformatics’ 2002 GIS and Remote Sensing for Global Change Studies and Sustainable Development, Celebration of the 10th [C]. Nanjing: Nanjing University.
ZHANG Qiao-feng, WANG Jin-fei, 2001. Inferring urban land use from1 meter resolution IKONOS imagery [A]. In: Proceedings of the 23rd Canadian Symposium of Remote Sensing [C]. Ottawa: Canadian Aeronautics and Space Institute, 173–181.
ZHANG Qiao-feng, WANG Jin-fei, 2003. A rule-based urban land use inferring method for fine-resolution multispectral imagery [J]. Can. J. Remote Sensing, 29(1): 1–13.
ZHANG Xiu-ying, FENG Xue-zhi, BEHARA Satyanarayana et al., 2004. Inferring urban land use from IKONOS image [A]. In: Proceedings of IGARSS 2004[C]. New York: Institute of Electrical and Electronics Engineers Inc., 2695–2698.
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Foundation item: Under the auspices of Jiangsu Provincial Natural Science Foundation (No. BK2002420)
Biography: ZHANG Xiu-ying (1977–), female, a native of Tangshan of Hebei Province, Ph.D. candidate, specialized in application of remote sensing and GIS. E-mail: lzhxy77@163.com
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Zhang, Xy., Feng, Xz. & Deng, H. Land-cover density-based approach to urban land use mapping using high-resolution imagery. Chin. Geograph.Sc. 15, 162–167 (2005). https://doi.org/10.1007/s11769-005-0010-1
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DOI: https://doi.org/10.1007/s11769-005-0010-1