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Multiple cropping index (MCI) can be extracted from satellite-derived Normalized Difference Vegetation Index (NDVI) time-series data. However, NDVI time-series data are often affected by noise, e.g. cloud, aerosol. The reconstruction of high-quality NDVI time series is a key to get accuracy MCI. A method integrating temporal and spatial information is developed to remove or reduce the effect of noises...
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