Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications

@article{Zhu2017ChangeDU,
  title={Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications},
  author={Zhe Zhu},
  journal={Isprs Journal of Photogrammetry and Remote Sensing},
  year={2017},
  volume={130},
  pages={370-384}
}
  • Zhe Zhu
  • Published 2017
  • Computer Science
  • Isprs Journal of Photogrammetry and Remote Sensing
Abstract The free and open access to all archived Landsat images in 2008 has completely changed the way of using Landsat data. Many novel change detection algorithms based on Landsat time series have been developed We present a comprehensive review of four important aspects of change detection studies based on Landsat time series, including frequencies, preprocessing, algorithms, and applications. We observed the trend that the more recent the study, the higher the frequency of Landsat time… Expand
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