2015
DOI: 10.7780/kjrs.2015.31.2.9
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A comparative study for reconstructing a high-quality NDVI time series data derived from MODIS surface reflectance

Abstract: : A comparative study was conducted for alternative consecutive procedures of detection of cloud-contaminated pixels and gap-filling and smoothing of time-series data to produce high-quality gapless satellite vegetation index (i.e. Normalized Difference Vegetation Index, NDVI). Performances of five alternative methods for detecting cloud contaminations were tested with ground-observed cloudiness data. The data gap was filled with a simple linear interpolation and then, it was applied two alternative smoothing … Show more

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