The application of polynomial analyses to detect global vegetation   dynamics during 1982-2012

doi:10.1080/01431161.2016.1142688

CORC > 北京大学 > 城市与环境学院

	The application of polynomial analyses to detect global vegetation dynamics during 1982-2012
	Liu, Yanxu ; Wang, Yanglin ; Du, Yueyue ; Zhao, Mingyue ; Peng, Jian
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2016
关键词	NDVI TIME-SERIES QINGHAI-TIBET PLATEAU TREND ANALYSIS MONITORING VEGETATION DATA SETS MODIS AVHRR PRODUCTS CHINA INDEX
DOI	10.1080/01431161.2016.1142688
英文摘要	Use of the normalized difference vegetation index (NDVI) to build long-term vegetation trends is one of the most effective techniques for identifying global environmental change. Trend identification can be achieved by ordinary least squares (OLS) analysis or the Theil-Sen (TS) procedure with a Mann-Kendall (MK) significance test, and these linear regression approaches have been widely used. However, vegetation changes are not linear, and thus the response of vegetation to global climate change may follow non-linear trends. In this article, a polynomial trend-fitting method, which uses stepwise regression and expands on previous research, is presented. With an improved fitting ability, this procedure may reveal trends that were concealed by linear fitting methods. Globally, the traditional TS-MK method reveals significant greening trends for 37.27% of vegetated land, and significant browning trends for 7.98%. Using the polynomial analysis, 34.62% of pixels were fitted by high-order trends. The significant greening trends covered up to 30% of cultivated land, thus indicating that cultivated vegetation may be increasing faster than natural vegetation. Significant vegetation browning mostly occurred in sparse vegetation areas, which suggests that vegetation growth may be more sensitive to climate change in arid regions. Our results show that use of polynomial analysis can help further elucidate global NDVI trends.; National Natural Science Foundation of China [41330747]; SCI(E); EI; ARTICLE; ylwang@urban.pku.edu.cn; 7; 1568-1584; 37
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/437424]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Liu, Yanxu,Wang, Yanglin,Du, Yueyue,et al. The application of polynomial analyses to detect global vegetation dynamics during 1982-2012[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2016.
APA	Liu, Yanxu,Wang, Yanglin,Du, Yueyue,Zhao, Mingyue,&Peng, Jian.(2016).The application of polynomial analyses to detect global vegetation dynamics during 1982-2012.INTERNATIONAL JOURNAL OF REMOTE SENSING.
MLA	Liu, Yanxu,et al."The application of polynomial analyses to detect global vegetation dynamics during 1982-2012".INTERNATIONAL JOURNAL OF REMOTE SENSING (2016).