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REMOTE SENSING FOR LAND & RESOURCES    2009, Vol. 21 Issue (2) : 97-101     DOI: 10.6046/gtzyyg.2009.02.20
Technology Application |
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.

Keywords Relational database      SDE      Map data      Spatial data     
: 

TP 79

 
Issue Date: 12 June 2009
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XUE Cun-Fang, ZHANG Wei. THE DYNAMIC VARIATION OF GRASSLAND VEGETATION
DEGENERATION BASED ON REMOTE SENSING MODIS DATA[J]. REMOTE SENSING FOR LAND & RESOURCES,2009, 21(2): 97-101.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2009.02.20     OR     https://www.gtzyyg.com/EN/Y2009/V21/I2/97
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