Reconstructing cloudfree NDVI composites using Fourier analysis of time series

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

Research output: Contribution to journalArticleAcademicpeer-review

521 Citations (Scopus)


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 languageEnglish
Pages (from-to)1911-1917
JournalInternational Journal of Remote Sensing
Issue number9
Publication statusPublished - 2000


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