干旱区生态环境知识资源中心(Arid): 基于RS和GIS的毛乌素沙地荒漠化程度定量估测

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	基于RS和GIS的毛乌素沙地荒漠化程度定量估测
其他题名	Quantitative Estimation of Desertification Degree Based on RS and GIS in Mu Us Sandland, Inner Mongolia
	徐文科; 蔡体久; 琚存勇
ISSN	1001-7488
出版年	2007
卷号	43 期号:5 页码:48-53
中文摘要	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
英文摘要	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.
中文关键词	荒漠化程度定量估测 ; 植被盖度和生物量定量估测 ; 因子分析 ; 多元线性回归分析
英文关键词	RS GI quantitative estimation of desertification degree quantitative estimation of vegetation coverage and biomass RS IS factor analysis multiple linear regression analysis
语种	中文
国家	中国
收录类别	CSCD
WOS类目	ECOLOGY
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:2822031
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/221198
作者单位	东北林业大学, 哈尔滨, 黑龙江 150040, 中国
推荐引用方式 GB/T 7714	徐文科,蔡体久,琚存勇. 基于RS和GIS的毛乌素沙地荒漠化程度定量估测[J],2007,43(5):48-53.
APA	徐文科,蔡体久,&琚存勇.(2007).基于RS和GIS的毛乌素沙地荒漠化程度定量估测.,43(5),48-53.
MLA	徐文科,et al."基于RS和GIS的毛乌素沙地荒漠化程度定量估测".43.5(2007):48-53.