Phenology-Driven Land Cover Classification and Trend Analysis Based on Long-term Remote Sensing Image Series

@article{Xue2014PhenologyDrivenLC,
  title={Phenology-Driven Land Cover Classification and Trend Analysis Based on Long-term Remote Sensing Image Series},
  author={Zhaohui Xue and Peijun Du and Li Feng},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2014},
  volume={7},
  pages={1142-1156}
}
The objective of this study is to classify the land cover types and analyze the land cover trend by incorporating phenological variability throughout a range of natural ecosystems using time-series remotely sensed images. First, a breaks for additive seasonal and trend (BFAST) approach is used to extract the phenology information from the time series. Second, a dynamic time warping (DTW) approach is adopted to screen the additional interpreted samples used for training. Third, some ensemble… CONTINUE READING

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