%0 Journal Article %A Heng-kai LI %A Xiao-sheng LIU %A Bo LI %A Fa-shuai LI %T Vegetation Coverage Variations and Correlation with Geomorphologic Factors in Red Soil Region: A Case in South Jiangxi Province %D 2014 %R 10.13249/j.cnki.sgs.2014.01.103 %J SCIENTIA GEOGRAPHICA SINICA %P 103-109 %V 34 %N 1 %X

HJ-CCD images being a data source, this paper calculated and analyzed the c change characteristics and spatial distribution about the vegetation in south Jiangxi regions in 2008-2011 by using the dimidiate pixel model based on NDVI, and DEM terrain elevation data were adopted to extract geomorphologic factors, and analyze the relationship between the elevation, slope, aspect and vegetation cover and vegetation degradation. The results show that it has a strong positive correlation between vegetation cover and elevation in the red soil region, the correlation coefficient is respectively 0.946 1 and 0.954 5 in 2008 and 2011.Vegetation degradation is mainly concentrated in the high vegetation coverage area, from the geomorphologic distribution of degradation area of view, it accounted for 88.84% of the total degraded area between 100 m and 300 m elevation range, 88.41% of the total degradation area between 1° and 5°slope range, the degradation area distribution from 306° to 360° slope range accounted for 30.73% of the total degradation area, it shows vegetation degradation is mainly concentrated in the region of low slope and low elevation, vegetation degradation is more serious in shady slop. From the geomorphologic distribution of vegetation degradation degree of view, the regions which the elevation range is from 50 m to 150 m, the slope is of less than 13° or more than 27° are the most violent regions of vegetation degradation, the degradation degree of shady slop is stronger than sunny slop. This study quantifies the relationship between vegetation cover and topography factors, provides a scientific basis for environmental management and monitoring in the red soil region, and has some practical value.

%U http://geoscien.neigae.ac.cn/EN/10.13249/j.cnki.sgs.2014.01.103