A Changing-Weight Filter Method for Reconstructing a High-Quality NDVI Time Series to Preserve the Integrity of Vegetation Phenology

@article{Zhu2012ACF,
  title={A Changing-Weight Filter Method for Reconstructing a High-Quality NDVI Time Series to Preserve the Integrity of Vegetation Phenology},
  author={Wenquan Zhu and Yaozhong Pan and Hao He and Lingli Wang and Minjie Mou and Jianhong Liu},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2012},
  volume={50},
  pages={1085-1094}
}
Time-series data of normalized difference vegetation index (NDVI), derived from satellite sensors, can be used to support land-cover change detection and phenological interpretations, but further analysis and applications are hindered by residual noise in the data. As an alternative to a number of existing algorithms developed to compensate for such noise, we develop a simple but computationally efficient method (which we call the changing-weight filter method) to reconstruct a high-quality… CONTINUE READING
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