摘要
选取内蒙古自治区毛乌素沙地东北部伊金霍洛旗为研究区域,以少量野外定位调查数据与其对应的RS和GIS信息为基础,利用主成分分析、因子分析和多元线性回归分析方法,建立以像元为单位的植被盖度和生物量的定量估测模型。通过对数学模型的分析,得到影响植被盖度和生物量的主要指标(因子)。在对荒漠化程度量化分级后,建立以植被盖度和生物量2个重要指标为影响因子的荒漠化程度定量估测模型,实现区域性荒漠化程度的定量估测。
The study area was chosen in Yijinholo County, Mu Us sandland, Inner Mongolia. According to the orientation investigation data in the field and the corresponding RS and GIS information, by means of principal components analysis, common factor analysis and multiple linear regression analysis, the vegetation coverage and biomass estimation models were set up. Through the analysis of the math models, the main factor of influencing the vegetation coverage and biomass were found out. After desertification degree quantum, quantitative estimation model of desertification degree was set up by the vegetation coverage and biomass as main factors. Quantitative estimation model of desertification degree was fulfilled.
出处
《林业科学》
EI
CAS
CSCD
北大核心
2007年第5期48-53,共6页
Scientia Silvae Sinicae
基金
国家自然科学基金资助(30471424)
关键词
荒漠化程度定量估测
植被盖度和生物量定量估测
RS
GIS
因子分析
多元线性回归分析
quantitative estimation of desertification degree
quantitative estimation of vegetation coverage and biomass
RS
GIS
factor analysis
multiple linear regression analysis
