Arid
DOI10.1080/01431161.2016.1142688
The application of polynomial analyses to detect global vegetation dynamics during 1982-2012
Liu, Yanxu; Wang, Yanglin; Du, Yueyue; Zhao, Mingyue; Peng, Jian
通讯作者Wang, Yanglin
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2016
卷号37期号:7页码:1568-1584
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.


类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000373986700005
WOS关键词NDVI TIME-SERIES ; QINGHAI-TIBET PLATEAU ; TREND ANALYSIS ; MONITORING VEGETATION ; DATA SETS ; MODIS ; AVHRR ; PRODUCTS ; CHINA ; INDEX
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
来源机构北京大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/193781
作者单位Peking Univ, Coll Urban & Environm Sci, Minist Educ, Lab Earth Surface Proc, Beijing 100871, Peoples R China
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]. 北京大学,2016,37(7):1568-1584.
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,37(7),1568-1584.
MLA Liu, Yanxu,et al."The application of polynomial analyses to detect global vegetation dynamics during 1982-2012".INTERNATIONAL JOURNAL OF REMOTE SENSING 37.7(2016):1568-1584.
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