Extracting Phenological Signals From Multiyear AVHRR NDVI Time Series: Framework for Applying High-Order Annual Splines With Roughness Damping

@article{Hermance2007ExtractingPS,
  title={Extracting Phenological Signals From Multiyear AVHRR NDVI Time Series: Framework for Applying High-Order Annual Splines With Roughness Damping},
  author={John F. Hermance and Robert W. Jacob and Bethany A. Bradley and John F. Mustard},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2007},
  volume={45},
  pages={3264-3276}
}
To better understand how terrestrial vegetative ecosystems respond to climate and/or anthropogenic effects, the scientific community is increasingly interested in developing methods of employing satellite data to track changes in land surface phenology (e.g., timing and rate of green-up, amplitude and duration of growing season, and timing and rate of senescence of plant classes). By increasing the inherent resolution of signal extraction procedures while minimizing the effects of cloud cover… CONTINUE READING
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