Geography

Seasonal trend analysis of image time series

Document Type

Article

Abstract

A procedure is introduced for the analysis of seasonal trends in time series of Earth observation imagery. Called Seasonal Trend Analysis (STA), the procedure is based on an initial stage of harmonic analysis of each year in the series to extract the annual and semi-annual harmonics. Trends in the parameters of these harmonics over years are then analysed using a robust median-slope procedure. Finally, images of these trends are used to create colour composites highlighting the amplitudes and phases of seasonality trends. The technique specifically rejects high-frequency sub-annual noise and is robust to short-term interannual variability up to a period of 29% of the length of the series. It is, thus, a very effective procedure for focusing on the general nature of longer-term trends in seasonality. © 2009 Taylor & Francis.

Publication Title

International Journal of Remote Sensing

Publication Date

2009

Volume

30

Issue

10

First Page

2721

Last Page

2726

ISSN

0143-1161

DOI

10.1080/01431160902755338

Keywords

satellite imagery, seasonality, time series analysis

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