Technology Application |
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THE DYNAMIC VARIATION OF GRASSLAND VEGETATION
DEGENERATION BASED ON REMOTE SENSING MODIS DATA |
XUE Cun-Fang, ZHANG Wei |
College of Information and Electric Engineering| China Agriculture University, Beijing 100083|China |
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Abstract With Inner Mongolia as the study area, the authors selected the height, coverage and biomass as the single
indices for the assessment of grassland degradation based on field survey and random samples, and calculated the
grassland degradation index (GDI) by integrating the height, coverage, and biomass. According to a correlation
analysis between GDI and every vegetation index computed, the GDI and the MSAVI were chosen as the best variables to
build the grassland degradation model with linear regression by using of RS, GIS, and GPS techniques. The grassland
degradation time-space distribution and the variation tendency in 2002 and 2006 were also analyzed. It is concluded
that the vegetation degeneration situation has on the whole shown an improvement, but with partial worsening in 2006
compared with things in 2002.
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Keywords
Relational database
SDE
Map data
Spatial data
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Issue Date: 12 June 2009
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