干旱区生态环境知识资源中心(Arid): Mapping Periodic Patterns of Global Vegetation Based on Spectral Analysis of NDVI Time Series

Arid

DOI	10.3390/rs11212497
	Mapping Periodic Patterns of Global Vegetation Based on Spectral Analysis of NDVI Time Series
	Recuero, Laura 1,2; Litago, Javier 3; Pinzon, Jorge E.4; Huesca, Margarita 5; Moyano, Maria C.6; Palacios-Orueta, Alicia 1,2
通讯作者	Palacios-Orueta, Alicia
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:21
英文摘要	Vegetation seasonality assessment through remote sensing data is crucial to understand ecosystem responses to climatic variations and human activities at large-scales. Whereas the study of the timing of phenological events showed significant advances, their recurrence patterns at different periodicities has not been widely study, especially at global scale. In this work, we describe vegetation oscillations by a novel quantitative approach based on the spectral analysis of Normalized Difference Vegetation Index (NDVI) time series. A new set of global periodicity indicators permitted to identify different seasonal patterns regarding the intra-annual cycles (the number, amplitude, and stability) and to evaluate the existence of pluri-annual cycles, even in those regions with noisy or low NDVI. Most of vegetated land surface (93.18%) showed one intra-annual cycle whereas double and triple cycles were found in 5.58% of the land surface, mainly in tropical and arid regions along with agricultural areas. In only 1.24% of the pixels, the seasonality was not statistically significant. The highest values of amplitude and stability were found at high latitudes in the northern hemisphere whereas lowest values corresponded to tropical and arid regions, with the latter showing more pluri-annual cycles. The indicator maps compiled in this work provide highly relevant and practical information to advance in assessing global vegetation dynamics in the context of global change.
英文关键词	land surface phenology vegetation dynamics spectral analysis periodogram NDVI seasonality stability pluri-annual cycles bioclimate
类型	Article
语种	英语
国家	Spain ; USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000504716700038
WOS关键词	LAND-SURFACE PHENOLOGY ; FOURIER-ANALYSIS ; CLIMATE-CHANGE ; DYNAMICS ; RAINFALL ; SEASONALITY ; DROUGHT ; TRENDS ; COVER ; DELTA
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
EI主题词	2019-11-01
来源机构	University of California, Davis
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310560
作者单位	1.Univ Politecn Madrid, ETSIMFMN, Dept Sistemas & Recursos Nat, C Jose Antonio Novais 10, E-28040 Madrid, Spain; 2.Univ Politecn Madrid, CEIGRAM, C Senda Rey 13, E-28040 Madrid, Spain; 3.Univ Politecn Madrid, ETSIAAB, Dept Econ Agraria Estadist & Gest Empresas, Ave Complutense 3, E-28040 Madrid, Spain; 4.Sci Syst & Applicat Inc, Biospher Sci Lab, NASA Goddard Space Flight Ctr, Code 618, Greenbelt, MD 20771 USA; 5.Univ Calif Davis, Land Air & Water Resources Dept, Ctr Spatial Technol & Remote Sensing CSTARS, One Shields Ave, Davis, CA 95616 USA; 6.Univ Politecn Madrid, ETSIAAB, Dept Ingn Agroforestal, Ave Complutense 3, Madrid 28040, Spain
推荐引用方式 GB/T 7714	Recuero, Laura,Litago, Javier,Pinzon, Jorge E.,et al. Mapping Periodic Patterns of Global Vegetation Based on Spectral Analysis of NDVI Time Series[J]. University of California, Davis,2019,11(21).
APA	Recuero, Laura,Litago, Javier,Pinzon, Jorge E.,Huesca, Margarita,Moyano, Maria C.,&Palacios-Orueta, Alicia.(2019).Mapping Periodic Patterns of Global Vegetation Based on Spectral Analysis of NDVI Time Series.REMOTE SENSING,11(21).
MLA	Recuero, Laura,et al."Mapping Periodic Patterns of Global Vegetation Based on Spectral Analysis of NDVI Time Series".REMOTE SENSING 11.21(2019).