摘要
为揭示毛乌素沙地植被变化规律,利用归一化植被指数(NDVI)和像元分解模型,建立了TM影像尺度下的毛乌素沙地植被覆盖度遥感定量模型。在此基础上,对毛乌素沙地1990年和2007年2个时期植被覆盖的进行了等级的划分。采用转移矩阵的方法,分析了该区17年来植被覆盖度的变化趋势。研究结果表明:研究区植被覆盖类型的主体为低盖度植被(NDVI,<0.3),其面积由1990年的33176.7369km2下降为2007年的30671.6454km2,年变化率为-0.048%;中盖度(NDVI,0.3-0.6)、高盖度(NDVI,>0.6)的总面积由1990年的1313.5023km2变为2007年的3818.5938km2,年变化率分别为3.91%和3.48%。整个研究区17年间发生正向转移的面积为3209.5153km2,占总面积的9.31%;负向转移的面积为633.0195km2,占总面积的1.84%。毛乌素沙地植被覆盖状况总体呈良性转移趋势,但局部退化的问题也应该加以关注。
To reveal the vegetation variation law, remote sensing quantitative model was established by using NDV1 and a sub - pixel model under TM images to divide different vegetation coverage levels in 1990 and 2007 in Mu Us Sandland. The dynamic variation of vegetation coverage was analyzed by transformation matrix method on this area in 17 years. The results indicated low vegetation coverage（ NDVI, 〈0.3） was main body which area declined from 33176. 7369km^2 in 1990 to 30671. 6454km^2 in 2007, annual changing rate was -0. 048%. Moderate vegetation coverage （ NDVI,0.3 - 0.6） and high vegetation coverage （ NDVI, 〉 0.6） changed from 1313.5023km^2 in 1990 to 3818. 5938km^2 in 2007, annual changing rate were 3.91% and 3.48% respectively. Positive and negative transformed areas were 3209. 5153km^2 and 633. 0195km^2, which accounted for 9.31% and 1.84% of the total land area, respectively. The status of vegetation coverage was becoming a heahhy eyele in total. but the issue of part - degeneration of Mu Us Sandland should be pay attention.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2009年第7期162-167,共6页
Journal of Arid Land Resources and Environment
基金
内蒙古自治区高等学校科学研究项目(NJ05116)
内蒙古自治区自然科学基金项目(200607010606)资助
