Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/01431161.2016.1142688 |
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
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ISSN | 0143-1161 |
EISSN | 1366-5901 |
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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