Monitoring Growth in Rapidly Urbanizing Areas Using Remotely Sensed Data

Professional Geographer

Volumn 52, Issue 3, 2000, Pages 371-386

  Ward, Douglas ^a   Phinn, Stuart R ^b   Murray, Alan T ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Australia; Cellular automata; Multiscale; Remote sensing; Urban growth; VIS model

Indexed keywords

CELLULAR AUTOMATA; MONITORING; REMOTE SENSING; URBAN GROWTH; URBANIZATION;

AUSTRALIA;

EID: 0033820790     PISSN: 00330124     EISSN: 14679272     Source Type: Journal    
DOI: 10.1111/0033-0124.00232     Document Type: Article

References (28)

1. Adams, John, Donald Sabol, Valerie Kapos, Raimundo Almeida-Filho, Dar Roberts, Milton Smith, and Alan Gillespie. 1995. Classification of multispectral images based on fractions of endmembers: Application to land cover change in the Brazilian Amazon. Remote Sensing of Environment 52:137-54.
2. Anderson, D., E. Hardy, J. Roach, and R. Witmer. 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Washington DC: U.S. Geological Survey Professional Paper 964.
3. Barnsley, M.J., and S.L. Barr. 1996. Inferring landuse from satellite sensor images using kernelbased spatial re-classification. Photogrammetric Engineering and Remote Sensing 62:949-58.
4. Batty, Michael, and Yan Xie. 1997. Possible urban automata. Environment and Planning B: Planning and Design 24:175-92.
5. Clarke, Keith C., S. Hoppen, and Leonard Gaydos. 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design 24:247-61.
6. Colwell, Robert, and Charles Poulton. 1985. SPOT simulation imagery for urban monitoring: A comparison with TM and MSS imagery and with high-altitude color infrared photography. Photogrammetric Engineering and Remote Sensing 51: 1093-101.
7. Congalton, Russell G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35-46.
8. Deguchi, Chikashi, and Satoro Sugio. 1994. Estimations of percentage impervious area by the use of satellite remote sensing imagery. Water Science and Technology 29:135-44.
9. Dobson, J.E., R.L. Ferguson, D.W. Field, L.L. Wood, K.D. Haddad, H. Iredale, Victor V. Klemas, R.J. Orth, and J.P. Thomas. 1995. NOAA Coastal Change Analysis Project C-CAP: Guidance for Regional Implementation. NOAA Technical Report NMFS 123. Seattle, WA: U.S. Department of Commerce.
10. Foody, Giles, and Paul Curran. 1994. Environmental Remote Sensing from Regional to Global Scales. New York: John Wiley and Sons.
11. Forster, Bruce. 1983. Some urban measurements from Landsat data. Photogrammetric Engineering and Remote Sensing 49:1693-707.
12. Forster, Bruce. 1985. An examination of some problems and solutions in monitoring urban areas from satellite platforms. International Journal of Remote Sensing 6:139-51.
13. Gong, Peng, and P. Howarth. 1990. The use of structural information for improving land cover classification accuracies at the rural-urban fringe. Photogrammetric Engineering and Remote Sensing 56: 67-73.
14. Goward, Samuel. 1981. Thermal behaviour of urban landscapes and the urban heat island. Physical Geography 2:19-33.
15. Jensen, John, and David Toll. 1982. Detecting residential land use development at the rural-urban fringe. Photogrammetric Engineering and Remote Sensing 48:629-43.
16. Jensen, John R., David C. Cowen, Joanne Halls, Sunil Narumalani, Nicholas J. Schmidt, Bruce A. Davis, and Bryan Burgess. 1994. Improved urban infrastructure mapping and forecasting for Bell- South using remote sensing and GIS technology. Photogrammetric Engineering and Remote Sensing 60:339-46.
17. Lo, C.P., Dale A. Quattrochi, and J.C. Luvall. 1997. Application of high resolution thermal infrared remote sensing and GIS to assess the urban heat island effect. International Journal of Remote Sensing 18:287-304.
18. Mesev, Victor, Paul Longley, Michael Batty, and Yan Xie. 1995. Morphology from imagery: Detecting and measuring the density of urban land use. Environment and Planning 27:759-80.
19. Monday, Heather, J.S. Urban, David Mulawa, and Cody Benkelman. 1994. City of Irving uses high resolution multispectral imagery for NPDES compliance. Photogrammetric Engineering and Remote Sensing 60:411-16.
20. Murray, Alan, and Rex Davis. 2000. Addressing sustainability in growing urban regions. In review. Urban Studies.
21. Phinn, Stuart R. 1998. A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management. International Journal of Remote Sensing 19:3457-463.
22. Phinn, Stuart R., Douglas Ward, Tony Rowland, and Michael Stanford. 1998. Remotely sensed solutions for monitoring and managing rapidly developing coastal environments. In Proceedings of the 12th Annual Australian ESRI and Erdas Users Conference, Gold Coast, 3-4 September, 1-8.
23. Ridd, Merrill. 1995. Exploring a V-I-S (vegetationimpervious- surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities. International Journal of Remote Sensing 16:2165-85.
24. Ryherd, Soren, and Curtis Woodcock. 1996. Combining spectral and texture data in the segmentation of remotely sensed imagery. Photogrammetric Engineering and Remote Sensing 62:181-94.
25. Stimson, Robert, John Western, Patrick Mullins, and Rodney Simpson. 1999. Urban metabolism as a framework for investigating quality of life and sustainable development in the Brisbane-southeast Queensland metro region. In Urban Quality of Life, ed. L. Yuan, B. Yuen, and C. Low, 143-68. Singapore: National University of Singapore.
26. Stow, Douglas, Doretta Collins, and David McKinsey. 1990. Land use change detection based on multi-date imagery from different satellite sensor systems. Geocarto International 3:3-12.
27. Wang, F. 1990. Improving remote sensing image analysis through fuzzy information representation. Photogrammetric Engineering and Remote Sensing 56:1163-69.
28. Weber, C., and J. Hirsch. 1992. Some urban measurements from SPOT data: Urban life quality indices. International Journal of Remote Sensing 13: 3251-61.