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Fourier series for analysis of temporal sequences of satellite sensor imagery

In English

Författare

Summary, in English

Fourier Series and the derivative were used in this study for analysing time series of remotely-sensed data. The technique allows fundamental characteristics of time series data to be quantified. In Fourier analysis a function in space or time is broken down into sinusoidal components, or harmonics. The first and second harmonics are a function of the mono or bi-modality of the curve, demonstrated in the study on Global Vegetation Index data classified into typical mono and bi-modal vegetation index zones. The last harmonic explains close to 100 per cent of the variance in the curve. Other important parameters of the time series, such as extreme points and rate of change, can be extracted from the derivative of the Fourier Series. Fourier Series may form a basis for a quantitative approach to the problem of handling temporal sequences of remotely-sensed data.

Publiceringsår

1994

Språk

Engelska

Sidor

3735-3741

Publikation/Tidskrift/Serie

International Journal of Remote Sensing

Volym

15

Issue

18

Dokumenttyp

Artikel i tidskrift

Förlag

Taylor & Francis

Ämne

  • Physical Geography

Nyckelord

  • NDVI
  • growing seasons
  • time series analysis

Status

Published

Forskningsgrupp

  • remote sensing

ISBN/ISSN/Övrigt

  • ISSN: 1366-5901