Reconstructing cloudfree NDVI composites using Fourier analysis of time series

G.J. Roerink; M. Menenti; W. Verhoef

doi:10.1080/014311600209814

Reconstructing cloudfree NDVI composites using Fourier analysis of time series

G.J. Roerink, M. Menenti, W. Verhoef

Wageningen Environmental Research

Research output: Contribution to journal › Article › Academic › peer-review

568 Citations (Scopus)

Abstract

This paper describes the harmonic analysis of time series (HANTS) algorithm. It performs two tasks: screening and removal of cloud-affected observations, and temporal interpolation of the remaining observations to reconstruct gapless images at a prescribed time. HANTS was applied to 36 AVHRR 10-days-maximum-NDVI composites covering most of Europe. The results show that cloud-affected data are recognized successfully and replaced. Up to half the data points were rejected with no consequence for the successful reconstruction of seasonal NDVI profiles.

Original language	English
Pages (from-to)	1911-1917
Journal	International Journal of Remote Sensing
Volume	21
Issue number	9
DOIs	https://doi.org/10.1080/014311600209814
Publication status	Published - 2000

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10.1080/014311600209814

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title = "Reconstructing cloudfree NDVI composites using Fourier analysis of time series",

abstract = "This paper describes the harmonic analysis of time series (HANTS) algorithm. It performs two tasks: screening and removal of cloud-affected observations, and temporal interpolation of the remaining observations to reconstruct gapless images at a prescribed time. HANTS was applied to 36 AVHRR 10-days-maximum-NDVI composites covering most of Europe. The results show that cloud-affected data are recognized successfully and replaced. Up to half the data points were rejected with no consequence for the successful reconstruction of seasonal NDVI profiles.",

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AU - Roerink, G.J.

AU - Menenti, M.

AU - Verhoef, W.

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N2 - This paper describes the harmonic analysis of time series (HANTS) algorithm. It performs two tasks: screening and removal of cloud-affected observations, and temporal interpolation of the remaining observations to reconstruct gapless images at a prescribed time. HANTS was applied to 36 AVHRR 10-days-maximum-NDVI composites covering most of Europe. The results show that cloud-affected data are recognized successfully and replaced. Up to half the data points were rejected with no consequence for the successful reconstruction of seasonal NDVI profiles.

AB - This paper describes the harmonic analysis of time series (HANTS) algorithm. It performs two tasks: screening and removal of cloud-affected observations, and temporal interpolation of the remaining observations to reconstruct gapless images at a prescribed time. HANTS was applied to 36 AVHRR 10-days-maximum-NDVI composites covering most of Europe. The results show that cloud-affected data are recognized successfully and replaced. Up to half the data points were rejected with no consequence for the successful reconstruction of seasonal NDVI profiles.

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DO - 10.1080/014311600209814

M3 - Article

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VL - 21

SP - 1911

EP - 1917

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

IS - 9

ER -

Reconstructing cloudfree NDVI composites using Fourier analysis of time series

Abstract

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