Mapping Periodic Patterns of Global Vegetation Based on Spectral Analysis of NDVI Time Series

Remote Sensing

Javier Litago¹  MariaC. Moyano²  Alicia Palacios-Orueta³  Laura Recuero³  Margarita Huesca⁴  JorgeE. Pinzón⁵ 

[1] Departamento de Economía Agraria, Estadística y Gestión de Empresas, ETSIAAB, Universidad Politécnica de Madrid, Avenida Complutense 3, 28040 Madrid, Spain;Departamento de Ingeniería Agroforestal, ETSIAAB, Universidad Politécnica de Madrid, Avenida Complutense 3, 28040 Madrid, Spain;Departamento de Sistemas y Recursos Naturales, ETSIMFMN, Universidad Politécnica de Madrid, C/José Antonio Novais 10, 28040 Madrid, Spain;Land, Air and Water Resources Department, Center for Spatial Technologies And Remote Sensing (CSTARS), University of California Davis, One Shields Avenue, Davis, CA 95616, USA;Science Systems and Applications Inc., Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Code 618, Greenbelt, MD 20771, USA;

关键词: land surface phenology;    vegetation dynamics;    spectral analysis;    periodogram;    ndvi;    seasonality;    stability;    pluri-annual cycles;    bioclimate;   

DOI  :  10.3390/rs11212497

来源: DOAJ

【 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.

【 授权许可】

Unknown