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Fourier series for analysis of temporal sequences of satellite sensor imagery
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- Olsson, Lennart (author)
- Lund University,Lunds universitet,LUCSUS,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,LUCSUS (Lund University Centre for Sustainability Studies),Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
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- Eklundh, Lars (author)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
- (creator_code:org_t)
- 2007-05-07
- 1994
- English.
- In: International Journal of Remote Sensing. - : Informa UK Limited. - 1366-5901 .- 0143-1161. ; 15:18, s. 3735-3741
- Journal article (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)
Keyword
- NDVI
- growing seasons
- time series analysis
Publication and Content Type
- art (subject category)
- ref (subject category)
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