Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing

Remote Sensing of Environment

Volumn 98, Issue 2-3, 2005, Pages 317-328

  Yuan, Fei ^a,b   Sawaya, Kali E ^a   Loeffelholz, Brian C ^a   Bauer, Marvin E ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b MINNESOTA STATE UNIVERSITY MANKATO   (United States)

Author keywords

Change detection; Land cover classification; Landsat; Multitemporal

Indexed keywords

DECISION MAKING; MAPPING; REMOTE SENSING; URBAN PLANNING;

CHANGE DETECTION; LAND COVER CLASSIFICATION; LANDSAT; MULTITEMPORAL;

LAND USE;

DETECTION METHOD; LAND CLASSIFICATION; LAND USE CHANGE; LANDSAT THEMATIC MAPPER; METROPOLITAN AREA; REMOTE SENSING;

MINNESOTA; NORTH AMERICA; UNITED STATES; WESTERN HEMISPHERE; WORLD;

EID: 25844497537     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2005.08.006     Document Type: Article

References (34)

1. M. Alberti, R. Weeks, and S. Coe Urban land cover change analysis in Central Puget Sound Photogrammetric Engineering and Remote Sensing 70 9 2004 1043 1052
2. J.R. Anderson, E.E. Hardy, J.T. Roach, and W.E. Witmer A land use and land cover classification system for use with remote sensing data USGS professional paper 964 1976 U.S. Geological Survey Reston, Virginia
3. M.E. Bauer, T.E. Burk, A.R. Ek, P.R. Coppin, S.D. Lime, and D.K. Walters Satellite inventory of Minnesota forests Photogrammetric Engineering and Remote Sensing 60 3 1994 287 298
4. M.E. Bauer, N.J. Heinert, J.K. Doyle, and F. Yuan Impervious surface mapping and change monitoring using satellite remote sensing Proceedings, American society of photogrammetry and remote sensing annual conference. May 24-28, Denver, Colorado 2004 unpaginated CD ROM, 10 pp.
5. M.E Bauer, C.A. Sersland, and S.J. Steinberg Land cover classification of the Twin Cities metropolitan area with Landsat TM data Proceedings, Pecora 13 symposium. August 20-22, Sioux Falls, South Dakota 1996 138 145
6. M.E. Bauer, F. Yuan, and K.E. Sawaya Multi-temporal Landsat image classification and change analysis of land cover in the Twin Cities (Minnesota) metropolitan area P.C. Smits L. Bruzzone Proceedings of the second international workshop on the analysis of multi-temporal remote sensing images 2004 World Scientific Publishing Co. Singapore 368 375
7. Center for Energy and Environment Two roads diverge: analyzing growth scenarios for the Twin Cities region 1999 Minneapolis Minnesota 22 pp.
8. R.G. Congalton, and K. Green Assessing the accuracy of remotely sensed data: Principles and practices 1999 Lewis Publishers Boca Rotan, Florida 43 64
9. P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin Digital change detection methods in ecosystem monitoring: A review International Journal of Remote Sensing 25 9 2004 1565 1596
10. Department of Housing and Urban Development The state of the cities 2000 U.S. Department of Housing and Urban Development Washington, D.C. 105 pp.
11. C.D. Elvidge, P.C. Sutton, and T.W. Wagner Urbanization G. Gutman A. Janetos C. Justice Land change science: Observing, monitoring, and understanding trajectories of change on the earth's surface 2004 Kluwer Academic Publishers Dordrecht, Netherlands 315 328
12. Environmental Protection Agency The urban environment. Minneapolis-St. Paul indicators 2003 http://www.epa.gov/urban/msp/indicators.htm. (website last visited August 5, 2005)
13. K. Ewijk Analysis of landscape changes in the Twin Cities metropolitan area from 1986 to 1998 using Landsat TM classifications and landscape metrics MGIS capstone paper 2002 University of Minnesota Minneapolis, Minnesota 150 pp.
14. R.M. Fuller, G.M. Smith, and B.J. Devereux The characterization and measurement of land cover change through remote sensing: Problems in operational applications International Journal of Applied Earth Observation and Geoinformation 4 2003 243 253
15. S.J. Goetz, D. Varlyguin, A.J. Smith, R.K. Wright, S.D. Prince, and M.E. Mazzacato Application of multitemporal Landsat data to map and monitor land cover and land use change in the Chesapeake Bay watershed P.C. Smits L. Bruzzone Proceedings of the second international workshop on the analysis of multi-temporal remote sensing images 2004 World Scientific Publishing Co. Singapore 223 232
16. J.E. Hasse, and R.G. Lathrop Land resource impact indicators of urban sprawl Applied Geography 23 2-3 2003 159 175
17. J.R. Jensen Digital change detection Introductory digital image processing: A remote sensing perspective 2004 Prentice-Hall New Jersey 467 494
18. M. Kotz MUSA boundary metadata 2000 Metropolitan Council St. Paul, Minnesota
19. Lillesand, T. M., Chipman, J. W., Nagel, D. E., Reese, H. M., Bobo, M. R., & Goldmann, R. A. (1998). Upper Midwest Gap Analysis Program Image Processing Protocol. U.S. Geological Survey, Environmental Management Technical Center, Onalaska, Wisconsin. EMTC 98-G001. 25 pp.+ Appendices.
20. Loeffelholz, B.C. (2004). Quantifying the effects of urbanization on oak forests. M.S. Thesis, University of Minnesota, St. Paul, Minnesota, 158 pp.
21. R.S. Lunetta, and M. Balogh Application of multi-temporal Landsat 5 TM imagery for wetland identification Photogrammetric Engineering and Remote Sensing 65 1999 1303 1310
22. Metropolitan Council Regional blueprint forecast procedures, detailed methodology 1996 Metropolitan Council St. Paul, Minnesota
23. D.R. Oettera, W.B. Cohenb, M. Berterretchea, T.K. Maierspergera, and R.E. Kennedy Land cover mapping in an agricultural setting using multiseasonal Thematic Mapper data Remote Sensing of Environment 76 2000 139 155
24. Özesmi, S. L. (2000). Satellite remote sensing of wetlands and a comparison of classification techniques. Ph.D. Thesis, University of Minnesota, St. Paul, Minnesota, 220 pp.
25. B.C. Pijanowsky, B.A. Shellito, M.E. Bauer, and K.E. Sawaya Using GIS, artificial neural networks and remote sensing to model urban change in the Minneapolis-St. Paul and Detroit Metropolitan areas Proceedings, American Society of Photogrammetry and Remote Sensing annual conference, April 23-27, 2001, St. Louis, Missouri 2001 13 pp.
26. M.K. Ridd, and J. Liu A comparison of four algorithms for change detection in an urban environment Remote Sensing of Environment 63 1998 95 100
27. D. Schrank, and T. Lomax The 2004 urban mobility report Texas transportation institute, Texas A & M University 2004 College Station Texas 27 pp.
28. S.P. Shaw, and C.G. Fredine Wetlands of the United States - their extent and their value to waterfowl and other wildlife U.S. Department of the Interior, Washington, D.C. Circular 39 1956 67 pp.
29. A. Singh Digital change detection techniques using remotely sensed data International Journal of Remote Sensing 10 6 1989 989 1003
30. G.D. Squires Urban Sprawl and the Uneven Development of Metropolitan America Gregory D. Squires Urban sprawl: Causes, consequences, and policy responses 2002 Urban Institute Press Washington, D.C. 1 22
31. P.T. Wolter, D.J. Mladenoff, G.E. Host, G.E., and T.R. Improved forest classification in the Northern Lake States using multi-temporal Landsat imagery Photogrammetric Engineering and Remote Sensing 61 1995 1129 1143
32. X. Yang Satellite monitoring of urban spatial growth in the Atlanta metropolitan area Photogrammetric Engineering and Remote Sensing 68 7 2002 725 734
33. F. Yuan, M.E. Bauer, N.J. Heinert, and G. Holden Multi-level land cover mapping of the Twin Cities (Minnesota) metropolitan area with multi-seasonal Landsat TM/ETM + data Geocarto International 20 2 2005 5 14
34. D. Yuan, C.D. Elvidge, and R.S. Lunetta Survey of multispectral methods for land cover change analysis Remote sensing change detection: Environmental monitoring methods and applications 1998 Ann Arbor Press Michigan 21 39