基于Sen+Mann-Kendall的北京植被变化趋势分析

计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (5): 13-17.

基于Sen+Mann-Kendall的北京植被变化趋势分析

王佃来1，2，刘文萍1，黄心渊1

1.北京林业大学信息学院，北京 100083
2.首钢工学院计算机系，北京 100144

出版日期:2013-03-01 发布日期:2013-03-14

Trend analysis in vegetation cover in Beijing based on Sen+Mann-Kendall method

WANG Dianlai1，2, LIU Wenping1, HUANG Xinyuan1

1.College of Information, Beijing Forestry University, Beijing 100083, China
2.Department of Computer Science, Shougang Institute of Technology, Beijing 100144, China

Online:2013-03-01 Published:2013-03-14

摘要/Abstract

摘要： 基于1998年到2011年长时序SPOT VEGETATION归一化植被指数数据，采用一元线性回归斜率变化法和Sen+Mann-Kendall法对北京地区的植被变化趋势做了时空分析。实验结果表明：在1998年到2011年期间，北京市城区、延庆县、怀柔区和平谷区的植被变化趋势显著上升；而植被恶化区则集中在北京市城区北部、东部和南部，并以马蹄形包围北京市区。两种方法实验结果在植被上升（下降）区域具有一致性。同时，Sen+Mann-Kendall法以其良好的抗噪性和对数据分布无要求性可广泛应用到其他区域的植被变化趋势分析中。

关键词: SPOT VEGETATION, 植被变化趋势分析, 一元线性回归, Sen趋势度估计法, Mann-Kendall检验

Abstract: The spatial distribution and dynamic change of vegetation cover in Beijing are analyzed based on SPOT VEGETATION’s NDVI data from 1998 to 2011 using the method of slope of linear regression and Sen+Mann-Kendallanalysis. Experimental results show that the vegetation’s change is significantly increased in the following areas：the urban of Beijing city, Yanqing county, Huairou and Pinggu district. On the contrary, the vegetation’s decreasing areas locate at the north, east and south of the urban district in Beijing and surround like a Horseshoe-shaped. The two methods ’sresults have good spatial consistency in increasing（or decreasing） vegetation coverregions. Sen+Mann-Kendall analysis can be widely applied in other areas for detecting the trends of vegetation’s change thanks to its noise immunity and without requirements of data distribution.

Key words: SPOT VEGETATION, trend analysis in vegetation cover, linear regression, Sen’s slope estimator, Mann-Kendall test

王佃来1，2，刘文萍1，黄心渊1. 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.

WANG Dianlai1，2, LIU Wenping1, HUANG Xinyuan1. Trend analysis in vegetation cover in Beijing based on Sen+Mann-Kendall method[J]. Computer Engineering and Applications, 2013, 49(5): 13-17.