干旱区生态环境知识资源中心(Arid): 基于遥感指数的区县级生态环境评价

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	基于遥感指数的区县级生态环境评价
其他题名	Assessment of the ecological environment at district and county level based on remote sensing index
	张亚球; 姜放; 纪梦达; 姜海山; 王子彦
来源期刊	干旱区研究
ISSN	1001-4675
出版年	2020
卷号	37 期号:6
中文摘要	基于遥感生态指数(RSEI)能够对生态环境实现快速的监测和评价,RSEI的提出为遥感生态评价提供了一种新的方法。针对RSEI的应用问题,本研究选取吉林省长春市主城区、内蒙古赤峰市翁牛特旗中东部半干旱区、青海省西宁市北川河自然保护区为试验区,分别在指数优化和细节表征两方面进行了研究,从近2 0个指数中选定最优指数并将以主成分分析法和多元线性回归法得到的结果进行细节表征对比,旨在探索适用于区县级的生态评价方法。结果表明:(1)以固定指数构成的RSEI模型在细部表征较差,存在较多误判;(2)同样使用PCA法以优化后的指数构建的RSEI(NEW)模型对细节信息的保留较前者要好,在主城市区的结果相较于其余模型更好;(3)利用逐步多元线性回归模型以优化后的指标参与构建的MLR(RSEI)在半干旱区和生态区的结果最佳。试验表明 ,以最优指数参与的多元线性回归模型能够较好的保留细部特征,对复杂环境的区县级小区域生态评价具有较强的适用性。
英文摘要	A remote sensing (RS) ecological index can be used for rapid supervision and evaluation of an ecological environment. The proposition of a remote sensing ecological index (RSEI) provides a new method for RS ecological evaluation. To test the application of RSEI, we selected regions in the main urban area of Changchun City, Jilin Province; the semi- arid area in the middle and east of Ongniud Banner, Chifeng City, Inner Mongolia; and the Beichuan River Nature Reserve, Xining City, Qinghai Province for index optimization and detail representation assessments. The best index of nearly 20 was chosen and the detail representation results were compared using principal component analysis (PCA) and multiple linear regression. The aim of this study was to explore the ecological assessment methods applicable to districts and counties. The results showed that the RSEI model comprised of fixed indexes does not perform well and had more misjudgment. The RSEI (NEW) model, which is also constructed using the PCA method with the optimized index, retains more detailed information than the former, and the results in the main urban area were better than the remaining models. When a stepwise multiple linear regression (MLR) model is used to optimize the index, the MLR (RSEI) involved produced the best results in semiarid and ecological areas. The experiment demonstrated that the MLR model with optimal index participation has strong applicability to small districts and counties, retaining detailed characteristics.
中文关键词	生态评价 ; 遥感指数 ; 多元线性回归 ; 主成分分析 ; 遥感生态指数(RSEI)
英文关键词	ecological evaluation remote sensing index multivariate linear regression principal component anal- ysis remote sensing ecological index
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Environmental Sciences & Ecology
CSCD记录号	CSCD:6884635
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353543
作者单位	张亚球, 长春工程学院勘查与测绘工程学院, 长春, 吉林 130021, 中国. 姜放, 长春工程学院勘查与测绘工程学院, 长春, 吉林 130021, 中国. 纪梦达, 长春工程学院勘查与测绘工程学院, 长春, 吉林 130021, 中国. 姜海山, 长春工程学院勘查与测绘工程学院, 长春, 吉林 130021, 中国. 王子彦, 桂林理工大学测绘地理信息学院, 桂林, 广西 541004, 中国.
推荐引用方式 GB/T 7714	张亚球,姜放,纪梦达,等. 基于遥感指数的区县级生态环境评价[J],2020,37(6).
APA	张亚球,姜放,纪梦达,姜海山,&王子彦.(2020).基于遥感指数的区县级生态环境评价.干旱区研究,37(6).
MLA	张亚球,et al."基于遥感指数的区县级生态环境评价".干旱区研究 37.6(2020).