Application of the Savitzky-Golay filter to land cover classification using temporal MODIS vegetation indices

So Ra Kim, Anup K. Prasad, Hesham El-Askary, Woo Kyun Lee, Doo Ahn Kwak, Seung Ho Lee, Menas Kafatos

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

In this study, the Savitzky-Golay filter was applied to smooth observed unnatural variations in the temporal profiles of the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) time series from the MODerate Resolution Imaging Spectroradiometer (MODIS). We computed two sets of land cover classifications based on the NDVI and EVI time series before and after applying the Savitzky-Golay filter. The resulting classification from the filtered versions of the vegetation indices showed a substantial improvement in accuracy when compared to the classifications from the unfiltered versions. The classification by the EVIsg had the highest K̂ (0.72) for all classes compared to those of the EVI (0.67), NDVI (0.63), and NDVIsg (0.62). Therefore, we conclude that the EVIsg is best suited for land cover classification compared to the other data sets in this study.

Original languageEnglish
Pages (from-to)675-685
Number of pages11
JournalPhotogrammetric Engineering and Remote Sensing
Volume80
Issue number7
DOIs
Publication statusPublished - 2014 Jul

ASJC Scopus subject areas

  • Computers in Earth Sciences

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