Seasonal trend analysis of image time series

被引：116

作者：

Eastman, J. Ronald ^{[1
,2
]}

Sangermano, Florencia ^{[1
,2
]}

Ghimire, Bardan ^{[1
,2
]}

Zhu, Honglei ^{[1
]}

Chen, Hao ^{[1
]}

Neeti, Neeti ^{[1
,2
]}

Cai, Yongming ^{[3
]}

Machado, Elia A. ^{[1
,2
]}

Crema, Stefano C. ^{[1
]}

机构：

[1] Clark Univ, Clark Labs, Worcester, MA 01610 USA

[2] Clark Univ, Grad Sch Geog, Worcester, MA 01610 USA

[3] Univ Cincinnati, Dept Geog, Cincinnati, OH 45221 USA

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2009年 / 30卷 / 10期

关键词：

D O I：

10.1080/01431160902755338

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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.

引用

页码：2721 / 2726

页数：6

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