Fourier analysis of multi-temporal AVHRR data applied to a land cover classification

A signal processing technique is presented and applied to annual patterns of the Global Vegetation Index (GVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) to examine the frequency distribution of the multi-temporal signal. It is shown that frequencies of the signal are linked t...

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Veröffentlicht in:International journal of remote sensing 1994, Vol.15 (5), p.1115-1121
Hauptverfasser: ANDRES, LUDOVIC, SALAS, WILLIAM A., SKOLE, DAVID
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container_issue 5
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container_title International journal of remote sensing
container_volume 15
creator ANDRES, LUDOVIC
SALAS, WILLIAM A.
SKOLE, DAVID
description A signal processing technique is presented and applied to annual patterns of the Global Vegetation Index (GVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) to examine the frequency distribution of the multi-temporal signal. It is shown that frequencies of the signal are linked to integrated GVI, seasonal variability and subseasonal variability of the land cover type. These characteristics are used to derive a land cover classification.
doi_str_mv 10.1080/01431169408954145
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source Taylor & Francis:Master (3349 titles)
subjects Animal, plant and microbial ecology
Biological and medical sciences
Classification
Fourier analysis
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Indexes
Land
Remote sensing
Resolution
Teledetection and vegetation maps
Variability
Vegetation
Wavemeters
title Fourier analysis of multi-temporal AVHRR data applied to a land cover classification
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