几种植被覆盖变化趋势分析方法对比研究  

Comparison Study on Several Trend Analytical Methods of Vegetation Cover Changes

作　　者：王佃来[1] 宿爱霞[2] 刘文萍[3] WANG Dian-lai;SU Ai-xia;LIU Wen-ping(Shougang Institute of T ech nolog, Beijing 100144;China Software Testing Center,Beijing 100048; College of Information, Beijing Forestry University, Beijing 100083)

机构地区：[1]首钢工学院,北京100144 [2]中国软件评测中心,北京100048 [3]北京林业大学信息学院,北京100083

出　　处：《安徽农业科学》2019年第5期10-14,共5页Journal of Anhui Agricultural Sciences

基　　金：北京市科技计划项目(Z171100001417005);中央高校基本科研业务费专项(2015ZCQ-XX);973计划项目(2009CB421105)

摘　　要：植被是陆地生态系统的主体,监测其变化是生态学研究的重要领域和全球研究的热点。植被变化趋势分析是监测植被动态变化的重要环节,其方法众多。为了对比主要植被变化趋势分析方法的异同,选取一元线性回归、相关系数法、Mann-Kendall法、Sen Slope estimator法、Sen+Mann Kendall法和Spearman等级相关系数法从方法归类、植被变化程度分类和计算复杂度等方面进行对比和分析。在1998—2013年间SPOT VEGETATION遥感数据基础上,利用上述方法分析北京市植被变化趋势,总结各方法产生差异的原因,并给出各方法的应用建议。Vegetation being the major body of terrestrial ecosystem,monitoring its changes is a primary field of ecological research and a hot topic in global research. Trend analysis of vegetation cover change is an important part of monitoring vegetation dynamic change and there are many methods in this research fields. In order to compare the similarities and differences of the vegetation change analysis methods, the methods of linear regression,correlation coefficient,Mann Kendall test,Sen slope estimator,Sen + Mann Kendall and Spearman rank correlation coefficient were compared and analyzed in the following aspects:method's classification ,classification's degrees of vegetation cover change and complexity of calculation. Trend analysis of vegetation cover change was implemented using above methods based on the SPOT VEGETATION remote sensing data from 1998 to 2013 in Beijing City. According to the analytical results,the differences and diverse reasons of each methods were discussed and the application suggestions of each method were also given.

关 键 词：Spearman等级相关系数 MANN-KENDALL 趋势检验 Pearson相关系数 SPOT VEGETATION 

分 类 号：Q948[生物学—植物学]