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http://dx.doi.org/10.5389/KSAE.2008.50.3.061

Land-use Mapping and Change Detection in Northern Cheongju Region  

Na, Sang-Il ((주)선도소프트 U-전략사업단)
Park, Jong-Hwa (충북대학교 농업생명환경대학 지역건설공학과)
Shin, Hyoung-Sup (충북대학교 농업생명환경대학 지역건설공학과 대학원)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.50, no.3, 2008 , pp. 61-69 More about this Journal
Abstract
Land-use in northern Cheongju region is changing rapidly because of the increased interactions of human activities with the environment as population increases. Land-use change detection is considered essential for monitoring the growth of an urban complex. The analysis was undertaken mainly on the basis of the multi-temporal Landsat images (1991, 1992 and 2000) and DEM data in a post-classification analysis with GIS to map land-use distribution and to analyse factors influencing the land-use changes for Cheongju city. The area of each land-use category was also calculated for monitoring land-use changes. Land-use statistics revealed that substantial land-use changes have taken place and that the built-up areas have expanded by about $17.57km^2$ (11.47%) over the study period (1991 - 2000). This study illustrated an increasing trend of urban and barren lands areas with a decreasing trend of agricultural and forest areas. Land-use changes from one category to others have been clearly represented by the NDVI composite images, which were found suitable for delineating the development of urban areas and land use changes in northern Cheongju region. Rapid economic developments together with the increasing population were noted to be the major factors influencing rapid land use changes. Urban expansion has replaced urban and barren lands.
Keywords
Land-use; Remote sensing (RS); GIS; DEM; Normalized difference vegetation index (NDVI); Change detection;
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  • Reference
1 Cho, S.H., 1999. Digital change detection by post-classification comparison of multi-temporal remotely sensed data. J. KSRE, 16(4), pp. 367-373
2 Mas, J. F., 1999. Monitoring land-cover changes: a comparison of change detection techniques. Int. J. of Remote Sensing, 20(1), pp. 139-152   DOI   ScienceOn
3 Prenzel, B., 2004. Remote sensingbased quantification of land-cover and land use change for planning. Progress in planning, 61, pp. 281-299   DOI   ScienceOn
4 Salovaara, K. J., Thessler, S., Malik, R. N., and Tuomisto, H., 2005, Classification of Amazonian primary rain forest vegetation using Landsat ETM+ satellite imagery, Remote Sensing of Env., 97(1), pp. 39-51   DOI   ScienceOn
5 Li, X., 1998. Measurement of rapid agriculture land loss in the Pearl River Delta with the integration of remote sensing and GIS. Environment and Planning B, 25, pp. 447-461   DOI   ScienceOn
6 Korea National Statistical Office (KNSO) Homepage, http://www.kosis.kr/html/InterStatic/, 1990, 2000
7 Saitou, N., 1986. On the Delta Q-test of Templeton, Mol. Biol. Evol. 3(3), pp. 282-284   PUBMED
8 Singh, A., 1989. Digital change detection techniques using remotely sensed data, Int. J. of Remote Sensing, 10(6), pp. 989-1003   DOI   ScienceOn
9 Homer, C., Huang, C., Limin, Y., Wylie, B., and Coan, M. 2004. Development of a 2001 national land cover database for the United States, Photo. Eng. and Remote Sensing, 70 (7), pp. 829-840   DOI   ScienceOn
10 Treitz, P.M., Howard, P. J. Gong, P., and 1992. Application of satellite and GIS technologies for land-cover and land use mapping at the rural-urban fringe: a case study. Photo. Eng. and Remote Sensing, 58, pp. 439-448
11 Korea Meteorological Administration (KMA) Homepage, 1991, 1992, 2000
12 Ehlers, M., Jadkowski, M. A., Howard, R. R., Brostuen, D. E. 1990. Application of SPOT data for regional growth analysis and local planning. Photo. Eng. and Remote Sensing, 56, pp. 175-180
13 Lopez, E., Bocco, G., 2001. Predicting landcover and land use change in the urban fringe a case in Morelia city, Mexico. Landscape and urban planning, 55, pp. 271-285   DOI   ScienceOn
14 Richards J.A. and X. Jia, 1999. Remote Sensing Digital Image Analysis, 3rd Ed., Springer- Verlag, Berlin