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  • ACRS 1997


    Geology
    Geomorphologic Distribution of Normalized Difference Vegetation Index

    Conclusion
    This study combines remotely senses data and DTM to investigation the geomorphologic distribution pattern of NDVI. Data show that aspect is the most important factor. Separating data by illumination and non-illumination may be a simple but efficient way in classify the vegetation community.

    NDVI distribution against slope and elevation shows the valley bottom and steep slope usually have less vegetation or lower biomass. Slopes in about 40 degree usually have largest value of NDVI. NDVI usually decrease with elevation. The decrease trend is gradual but drop very fast in the area about 3000 meters.

    References
    • Colby, J. D. (1991), "Topographic normalization in Rugged Terrain, " Photogrammetric Engineering and Remote Sensing, 57(5): 531-537.
    • Dubreuil, P. L. (1986), "Review of Relationship between Geophysical Factors and Hydrological Characteristics in the Tropics, "Journal of Hydrology, 87:201-222.
    • Lau, C. C. (1993), "Extracting Basin's Geomorphologic Factors Using Digital Terrain Model," in the Proceeding of 12-th Conference of Applied Survey, Chungil, Taiwan, pp627-638.
    • Leprieur, C. E. and J. M. Durand (1988), "Influence of Topography on Forest Reflectances Using Landsat Thematic Mapper and Digital Terrain Data, " Photogrammetric Engineering and Remote Sensing, 54(4):491-496.
    • Proy, C., D. Tanre and P. Y. Deschamps (1989), "Evaluation of Topographic Effect in Remotely Sensed Data," Remote Sensing Environment, 30:21-31.
    • Schneider, K. and P. Robbins (1995), GIS Mountain Environments, United Nations Institute for Training and Research, Palais des Nations, CH-1211 Geneva 10, Switzerland. 180pp.
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