대한원격탐사학회지 (Korean Journal of Remote Sensing)

  • 제23권3호
  • /
  • Pages.221-227
  • /
  • 2007
  • /
  • 1225-6161(pISSN)
  • /
  • 2287-9307(eISSN)
대한원격탐사학회 (Korean Society of Remote Sensing)
권호 표지
DOI QR코드

DOI QR Code

An Assessment of Urbanization Using Historic Satellite Photography: Columbus Metropolitan Area, Ohio, 1965

  • Kim, Kee-Tae (Vexcel Corporation) ;
  • Kim, Jung-Hwan (School of Civil and Environmental Engineering, Yonsei University) ;
  • Jayakumar, S. (School of Civil and Environmental Engineering, Yonsei University) ;
  • Sohn, Hong-Gyoo (School of Civil and Environmental Engineering, Yonsei University)
  • 발행 : 2007.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

We present an analysis of urban development and growth with reconnaissance satellite photographs of Columbus metropolitan area acquired by the Corona program in 1965. A two-dimensional polynomial linear transformation was used to rectify the photos against United State Geological Survey (USGS) Large-scale Digital Line Graph (DLG) data georeferenced to Universal Transverse Mercator (UTM) coordinates. The boundaries of the Columbus metropolitan area were extracted from the rectified Corona image mosaic using a Bayesian approach to image segmentation. The inferred 1965 urban boundaries were compared with 1976 USGS Land Use and Land Cover (LULC) data and boundaries derived from 1988 and 1994 Landsat TM images. The urban area in and around Columbus approximately doubled from 1965 to 1994 (${\sim}110%$) along with population growth from 1960 to 1998 (${\sim}50%$). Most of the urban expansion results from development of residential units.

키워드

참고문헌

  1. Anderson, J. R., E. E. Hardy, J. T. Roach, and R. E. Witmer, 1976. A land use and land cover classification system for use with remote sensor data, U.S. Geological Survey, Professional Paper 964, Washington, DC, 35p
  2. Bell, C, W. Acevedo, and J. T. Buchanan, 1995. Dynamic mapping of urban regions: growth of the San Francisco Sacramento region, Proc. Urban and Regional Information Systems Association, San Antonio, TX, pp.723-734
  3. Buchanan, J. T. and W. Acevedo, 1997. Defining the temporal and geographic limits for an urban mapping study, Proc. Urban and Regional Information Systems Association, Toronto, Canada
  4. CNES and SPOT IMAGE, 1988. SPOT User's Handbook, ed.1, [on-line], Available: http://www.spot.com/home/news/publi/SHRM3-00.pdf
  5. Davies, E., 1990. Machine Vision: Theory, Algorithm, Practicalities, 2nd Ed., Academic Press, San Diego, CA, pp.19-39
  6. NASA's Goddard Space Flight Center, 1998. Landsat 7 Science Data Users Handbook, prepared by Landsat Project Science Office, [on-line], Available: http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_toc.html
  7. Macdonald, R. A., 1995. Corona: Success for space reconnaissance, A look into the cold war and a revolution in intelligence, Photogrammetric Engineering & Remote Sensing, 61(6): 321-325
  8. Sharp, J. S. and V. Winland, 1999. Rural and nonmetropolitan population change in Ohio, 1950 to 1998, [on-line], Available: http://www.ag.ohio-state.edu/~dataunit
  9. U.S. Census Bureau, 1998. Alternative approaches to defining metropolitan and nonmetropolitan areas, Federal Register, [on-line], Available: http://www.whitehouse.gov/omb/fedreg/msa.pdf
  10. U.S. Department of Commerce, Economics and Statistics Administration, and Bureau of The Census, 1997. $TIGER/Line^{\circledR}$ File, [machinereadable data files] prepared by the Bureau of the Census, Washington, DC
  11. U.S. Geological Survey, 1999. Analyzing land use changes in urban environments, USGS Fact Sheet 188-99, [on-line], Available: http://edcdgs9.cr.usgs.gov/urban/factsht.pdf
  12. U.S. Geological Survey, 1990. Digital line graph standards, National Mapping Program Standards, [on-line], Available: http://rockyweb.cr.usgs.gov/nmpstds/dlgstds.html
  13. Wheelon, A. D., 1997. Corona: The first reconnaissance satellites, Physics Today, February, pp.24-30