Spatial analysis of urban growth impacts on vegetative greenness with Landsat TM data

Geocarto International

Volumn 16, Issue 4, 2001, Pages 19-28

  Weng, Qihao ^a   Lo, C P ^b  

^a INDIANA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84899861126     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106040108542211     Document Type: Article

References (37)

1. Anderson, J. R., Hardy, E. E., Roach, J. T., and R.E. Witmer, 1976, A Land Use and Land Cover Classification Systems for Use with Remote Sensing Data, USGS Professional Paper 964.
2. ASPRS, 1994, Remote Sensing and Geographic Information Systems: An Integration of Technologies for Resource Management, ASPRS, Bethesda, MD.
3. Atkinson, P. M, and N. J. Tate, 1999, Techniques for the analysis of spatial data. Advances in Remote Sensing and GIS Analysis (P. M. Atkinson and N. J. Tate, editors), John Wiley & Sons, New York, pp. 1-5.
4. Che, N., and J. C. Price, 1992, Survey of radiometric calibration results and methods for visible and near infrared channels of NOAA-7,-9 and-11 AVHRRs. Remote Sensing of Environment, 50: 1-7.
5. Ditu Chubanshe, 1977, Provincial Atlas of the People's Republic of China, People's Press, Beijing.
6. Dymond, J. R., Page, M. J., and L. J. Brown, 1996, Large area vegetation mapping in the Gisborne district, New Zealand, from Landsat TM, International Journal of Remote Sensing, 17 (2): 263-275.
7. Ehlers, M., Jadkowski, M. A., Howard, R. R., and D. E. Brostuen, 1990, Application of SPOT data for regional growth analysis and local planning, Photogrammetric Engineering and Remote Sensing, 56 (2): 175-180.
8. Ekstrand, S., 1996, Landsat TM-based forest damage assessment: correction for topographic effects. Photogrammetric Engineering & Remote Sensing, 62(1): 151-161.
9. Foody, G. M., and R. A. Hill, 1996, Classification of tropical forest classes from Landsat TM data, International Journal of Remote Sensing, 17(12): 2353-2367.
10. Gillies, R. R., Carlson, T. N., Cui, J., Kustas, W. P., and K. S. Humes, 1997, A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation index (NDVI) and surface radiant temperature, International Journal of Remote Sensing, 18(15): 3145-3166.
11. Gong, Z., and Z. Chen, 1964, The soils of the Zhujiang River Delta. Journal of Soils, 36: 69-124. (In Chinese)
12. Harris, P. M., and S. J. Ventura, 1995, The integration of geographic data with remotely sensed imagery to improve classification in an urban area, Photogrammetric Engineering and Remote Sensing, 61: 993-998.
13. Hinton, J. C., 1996, GIS and remote sensing integration for environmental applications, International Journal of Geographic Information Systems, 10(7): 877-890.
14. Jakubauskas, M.E., and K.P. Price, 1994, Landsat thematic mapper characterization of coniferous forest succession, Proceedings of ASPRS/ACSM 1994, Reno, Nevada, pp. 256-267.
15. Jensen, J. R., 1996, Introductory Digital Image Processing: A Remote Sensing Perspective (Second Edition), Prentice Hall, Upper Saddle River, NJ.
16. Jensen, J. R., Rutchey, K., Koch, M. and S. Narumalani. 1995. Inland wetland change detection in the Everglades water conservation area 2A using a time series of normalized remotely sensed data. Photogrammetric Engineering & Remote Sensing, 61(2): 199-209.
17. Knick, S. T., Rotenberry, J.T., and T. J. Zarriello, 1997, Supervised classification of Landsat Thematic Mapper imagery in a semi-arid rangeland by nonparametric discriminant analysis, Photogrammetric Engineering & Remote Sensing, 63(1): 79-86.
18. Li, Y., Mausel, P., Wu, Y., Moran, E., E. Brondizio, 1994, Discrimination between advanced secondary succession and mature moist forest near Altamira, Brazil, using Landsat TM data. Proceedings of ASPRS/ACSM 1994, Reno, Nevada, pp. 350-364.
19. Lo, C. P., 1989, Recent spatial restructuring in Zhujiang Delta, South China: A study of socialist regional development strategy, Annals of the Association of the American Geographers, 79(2): 293-308.
20. Lo, C. P., and L. J. Watson, 1994, Okefenokee Swamp vegetation mapping with Landsat thematic mapper data: an evaluation, Proceedings of ASPRS/ACSM 1994, Reno, Nevada, pp. 365-374.
21. Mesev, V., 1997, Remote sensing of urban systems: hierarchical integration with GIS, Computer, Environment, and Urban Systems, 21 (3-4): 175-187.
22. Nissan, E., and G. Carter, 1994, Measuring interstate and interregional income inequality in the United States, Economic Development Quarterly, 8(4): 364-372.
23. Price, J. C., 1987, Calibration of satellite radiometers and the comparison of vegetation indices, Remote Sensing of Environment, 21: 15-27.
24. Sader, S. A., Stone, T. A., and A. T. 1990, Remote sensing of tropical forests: an overview of research and applications using nonphotographic sensors, Photogrammetric Engineering and Remote Sensing, 55(10): 1343-1351.
25. Sader, S. A., 1994, Spatial analysis of tropical forest change in northern Guatemala. Proceedings of ASPRS/ ACSM 1994, Reno, Nevada, pp. 551-557.
26. Star, J. L. (ed.), 1991, The Integration of Remote Sensing and Geographic Information Systems, American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland.
27. Star, J. L., Estes, J. E., and K. C. McGwire, 1997, Integration of Geographic Information Systems and Remote Sensing, Cambridge University Press, Cambridge.
28. Statistical Bureau of Guangdong, 1998, Statistical Yearbook of Guangdong 1997, China Statistics Press, Beijing.
29. Steininger, M. K., 1996, Tropical secondary forest regrowth in the Amazon: age, area and change estimation with Thematic Mapper data, International Journal of Remote Sensing, 17(1): 9-27.
30. Theil, H., 1967, Economics and Information Theory, North-Holland, Amsterdam.
31. Thenkabail, P. S., Ward, A. D., Lyon, J. G., and C. J. Merry, 1994, Thematic Mapper vegetation indices for determining soybean and corn growth parameters, Photogrammetric Engineering & Remote Sensing, 60(4): 437-442.
32. Treitz, P. M., Howard, P. J., and P. Gong, 1992, Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: A case study, Photogrammetric Engineering and Remote Sensing, 58(4): 439-448.
33. Weng, Q., 1998, Local impacts of the post-Mao development strategy: the case of the Zhujiang Delta, southern China, International Journal of Urban and Regional Studies, 22(3): 425-442.
34. Weng, Q., 2001, A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China, International Journal of Remote Sensing, 22(10): 1999-2014.
35. Yeh, A. G. O., and X. Li, 1996, Urban growth management in the Pearl River delta-an integrated remote sensing and GIS approach, The ITC Journal, 1: 77-85.
36. Yeh, A. G. O., and X. Li, 1997, An integrated remote sensing-GIS approach in the monitoring and evaluation of rapid urban growth for sustainable development in the Pearl River Delta, China, International Planning Studies, 2(2): 193-210.
37. Yeh, A. G. O., and X. Li, 1999, Economic development and agricultural land loss in the Pearl River Delta, China, Habitat International, 23(3): 373-390.