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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 17.57km2
(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 forests 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.
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참고문헌 (14)
참고문헌 신청
/ / Korea National Statistical Office (KNSO) Homepage
/ 2000 / Korea Meteorological Administration (KMA) Homepage, 1991, 1992
Cho, S.H. / 1999 / Digital change detection by post-classification comparison of multi-temporal remotely sensed data / J. KSRE 16 (4) : 367 ~ 373
Ehlers, M. / 1990 / Application of SPOT data for regional growth analysis and local planning / Photo. Eng. and Remote Sensing 56 : 175 ~ 180
Homer, C. / 2004 / Development of a 2001 national land cover database for the United States / Photo. Eng. and Remote Sensing 70 (7) : 829 ~ 840
/ 2000 / Korea Meteorological Administration (KMA) Homepage, 1991, 1992
Cho, S.H. / 1999 / Digital change detection by post-classification comparison of multi-temporal remotely sensed data / J. KSRE 16 (4) : 367 ~ 373
Ehlers, M. / 1990 / Application of SPOT data for regional growth analysis and local planning / Photo. Eng. and Remote Sensing 56 : 175 ~ 180
Homer, C. / 2004 / Development of a 2001 national land cover database for the United States / Photo. Eng. and Remote Sensing 70 (7) : 829 ~ 840
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