欢迎访问《生态学杂志》官方网站,今天是 分享到:

生态学杂志 ›› 2011, Vol. 30 ›› Issue (01): 59-65.

• 研究报告 • 上一篇    下一篇

山东省典型地表覆被NDVI时间序列谐波分析

梁守真1,2,邢前国1,施 平1**,周 迪1,2   

  1. 1中国科学院烟台海岸带研究所,山东烟台 264003;2中国科学院研究生院,北京 100049
  • 出版日期:2011-01-08 发布日期:2011-01-08

Harmonic analysis on NDVI time series of typical land covers in Shandong Province.

LIANG Shou-zhen1,2, XING Qian-guo1, SHI Ping1**, ZHOU Di1,2   

  1. 1Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China|2Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2011-01-08 Published:2011-01-08

摘要: NDVI时间序列的谐波分析可描述不同地表覆被的季节变化。本文运用谐波分析法对山东省一年的MDOIS NDVI时间序列数据进行分析处理,提取了该地区几种典型地表覆被的谐波特征。结果表明:利用谐波分析生成的前几个谐波分量就可重建原始时间序列,且重建的时间序列剖面为平滑曲线,因此谐波分析不仅可减少数据量,并可去除噪声的影响;不同地表覆被有不同的谐波特征特征参数(谐波余项、振幅和相位);各谐波分量的特征参数和植被季节动态变化有关,谐波分析结果可用于植被分类和植被动态变化研究。

关键词: 赤潮高发区, 源输入,

Abstract: Harmonic analysis, also termed Fourier analysis, is used to analyze time series data. It can decompose a time-dependent periodic phenomenon into a series of sinusoidal functions, each defined by unique amplitude and phase values. The harmonic analysis of NDVI time series can characterize the seasonal change of land cover. In this paper, a harmonic analysis was made on the 1-year MODIS NDVI time series data of Shandong Province, with the harmonic characteristics (additive term, amplitude, and phase image) of several typical land covers in the province extracted. The results showed that the original NDVI time series could be reconstructed by using several harmonic terms with low frequency, and the reconstructed time series profile was smoother, suggesting that harmonic analysis had removed noise when processing time series. Different land covers had different characteristic parameters of harmonic term, being correlated with the seasonal change of land cover. Additive term indicated the arithmetic mean of NDVI; amplitude indicated the variation of temporal NDVI; while phase image indicated the time of peak value. Each land cover had its different harmonic parameters. It was suggested that the results of harmonic analysis could be used for studying vegetation classification and vegetation dynamics.

Key words: Harmful algal bloom area, Terrestrial input, Al