几种植被覆盖变化趋势分析方法对比研究
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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.
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.
引文
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[10] 元志辉,包刚,银山,等.2000-2014年浑善达克沙地植被覆盖变化研究[J].草业学报,2016,25(1):33-46.
[11] 张韵婕,桂朝,刘庆生,等.基于遥感和气象数据的蒙古高原1982～2013年植被动态变化分析[J].遥感技术与应用,2016,31(5):1022-1030.
[12] 李卓,孙然好,张继超,等.京津冀城市群地区植被覆盖动态变化时空分析[J].生态学报,2017,37(22):7418-7426.
[13] 许玉凤,陆承红,潘网生,等.基于MODIS的贵州省黎平县植被变化[J].森林工程,2017,33(6):6-10,14.
[14] 朴世龙,方精云.最近18年来中国植被覆盖的动态变化[J]. 第四纪研究,2001,21(4):294-302.
[15] GOCIC M,TRAJKOVIC S.Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia[J].Global and planetary change,2013,100:172-182.
[16] 王佃来,刘文萍,黄心渊.基于Sen+Mann-Kendall的北京植被变化趋势分析[J].计算机工程与应用,2013,49(5):13-17.
[17] 张莉,陈芸芝,汪小钦. 基于时序MODIS NDVI数据的长汀县植被趋势特征研究[J].福州大学学报(自然科学版),2016,44(5):661-667.
[18] JIN Z,TIAN Q,CHEN J M,et al.Spatial scaling between leaf area index maps of different resolutions[J]. Journal of environmental management,2007,85(3):628-637.
[19] 李强,张翀.基于NDVI时间序列的近12年中国植被覆盖的单调趋势分析[J]. 水土保持通报,2014,34(3):135-140.
[2] 蔡博峰,于嵘. 基于遥感的植被长时序趋势特征研究进展及评价[J].遥感学报,2009,13(6):1177-1186.
[3] RIGINA O,RASMUSSEN M S. Using trend line and principal component analysis to study vegetation changes in Senegal 1986 – 1999 from AVHRR NDVI 8 km data[J]. Geografisk tidsskrift-danish journal of geography,2003,103(1):31-42.
[4] 方精云,朴世龙,贺金生,等.近20 年来中国植被活动在增强[J]. 中国科学(C 辑),2003,33(6):554-565.
[5] 宋怡,马明国.基于SPOT VEGETATION数据的中国西北植被覆盖变化分析[J].中国沙漠,2007,27(1):89-93.
[6] 张宏斌,唐华俊,杨桂霞,等.2000-2008年内蒙古草原MODIS NDVI时空特征变化[J].农业工程学报,2009,25(9):168-175.
[7] 张戈丽,徐兴良,周才平,等.近30年来呼伦贝尔地区草地植被变化对气候变化的响应[J].地理学报,2011,66(1):47-58.
[8] 邱海军,曹明明.基于SPOT VEGETATION数据的中国植被覆盖时空变化分析[J].资源科学,2011,33(2):335-340.
[9] 王娟,李宝林,余万里,等.近30年内蒙古自治区植被变化趋势及影响因素分析[J].干旱区资源与环境,2012,26(2):132-137.
[10] 元志辉,包刚,银山,等.2000-2014年浑善达克沙地植被覆盖变化研究[J].草业学报,2016,25(1):33-46.
[11] 张韵婕,桂朝,刘庆生,等.基于遥感和气象数据的蒙古高原1982～2013年植被动态变化分析[J].遥感技术与应用,2016,31(5):1022-1030.
[12] 李卓,孙然好,张继超,等.京津冀城市群地区植被覆盖动态变化时空分析[J].生态学报,2017,37(22):7418-7426.
[13] 许玉凤,陆承红,潘网生,等.基于MODIS的贵州省黎平县植被变化[J].森林工程,2017,33(6):6-10,14.
[14] 朴世龙,方精云.最近18年来中国植被覆盖的动态变化[J]. 第四纪研究,2001,21(4):294-302.
[15] GOCIC M,TRAJKOVIC S.Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia[J].Global and planetary change,2013,100:172-182.
[16] 王佃来,刘文萍,黄心渊.基于Sen+Mann-Kendall的北京植被变化趋势分析[J].计算机工程与应用,2013,49(5):13-17.
[17] 张莉,陈芸芝,汪小钦. 基于时序MODIS NDVI数据的长汀县植被趋势特征研究[J].福州大学学报(自然科学版),2016,44(5):661-667.
[18] JIN Z,TIAN Q,CHEN J M,et al.Spatial scaling between leaf area index maps of different resolutions[J]. Journal of environmental management,2007,85(3):628-637.
[19] 李强,张翀.基于NDVI时间序列的近12年中国植被覆盖的单调趋势分析[J]. 水土保持通报,2014,34(3):135-140.