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Poster Sessions
  • Session 1
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  • ACRS 2000


    Poster Session 1


    Comparing Effects of Different Sizes of Aggregation on Spatial Structure of Remotely Sensed Data

    5. References
    • Bian, Ling and R. Butler, 1999. Comparing Effects of aggregation methods on statistical and spatial properties of simulated spatial data, Photogrammetric Eng. & Remote Sensing, 65 (1), pp. 73-84.
    • Cihlar J. et al., 1996, Land Cover Classification with AVHRR Multichannel composites in Northern Environments, Remote Sensing Environ. , 58, pp.36-51.
    • Gamma Design Software, 1995. GS+: Geostatistics for the environmental sciences. Version 2.3. Gamma Design Software, Plainwell, MI.
    • Gates, D.M. et al., 1965, Spectral properties of plants, Applied Optics, 4, pp.11-20.
    • Jelinski, D.E. and J. Wu, 1996,The modifiable areal unit problem and implications for landscape ecology, Vol. 11, No. 3, Landscape Ecology, pp.129-140.
    • Lillesend, T.M. and R. W. Kiefer, Remote Sensing and Image interpretation, John Wiley & Suns, Inc., Fourth edition, New York, p.724.
    • Lin, Y.P. and T. K. Chang, 2000. Simulated annealing and kriging method for identifying the spatial patterns and variability of Soil heavy metal, Journal of Environmental Science and Health, Part A - Toxic/Hazardous Substance & Environmental Engineering, A35 (7), pp.1089-1115.
    • Lin, Y.P., Chang, T.K., 2000. Geostatistical Simulation and Estimation of the Spatial Variability of Soil Zinc. Journal of Environmental Science and Health, Part A - Toxic/Hazardous Substance & Environmental Engineering A35 (3), pp. 327-347.
    • Lo, C. P. and B.J. Faber, 1997, Integration of landscape thematic mapper and census for quality of life assessment, Remote Sens. Environ., 62, pp.143-157.
    • Loveland, T. R. et al., 1991, Development of a land cover characteristics database for the conterminous U.S., Photogrammetric Eng. & Remote Sens., 57, pp.1453-1463.
    • O'neill A.L., 1996, Satellite-derived vegetation indices applied to semi-arid shrublands in Australia, Australian geographer, 27(2), pp.185-199.
    • Quattrochi, D.A. and J. C. Luvall, 1999,Thermal infrared remote sensing for analysis of landscape ecological processes: methods and applications, 14, Landscape Ecology, pp.577-598.


    Figure 1. Locations of Study area


    (a)


    (b)


    (c)

    Figure 2 Experimental variograms of (a) the pure grass site; (b) the broad forest site; (c) the mixed grass-shrub site.


    (a)


    (b)


    (c)

    Figure 3 Experimental variograms of the grass site at (a) 0°; (b) 45°; (c) 135°.


    (a)


    (b)


    (c)

    Figure 4 Experimental variograms of the broad forest site at (a) 0°; (b) 45°; (c) 135°.


    (a)


    (b)


    (c)

    Figure 5 Experimental variograms of the mixed grass-shrub site at (a) 0°; (b) 45°; (c) 135°.

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