Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves. Baumann, M., Ozdogan, M., Richardson, A. D., & Radeloff, V. C. Int. J. Appl. Earth Obs. Geoinformation, 54:72-83, 2017.
Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves. [link]Link  Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves. [link]Paper  bibtex   
@article{journals/aeog/BaumannORR17,
  added-at = {2023-08-28T00:00:00.000+0200},
  author = {Baumann, Matthias and Ozdogan, Mutlu and Richardson, Andrew D. and Radeloff, Volker C.},
  biburl = {https://www.bibsonomy.org/bibtex/2ee3b6e6ffa48b1583cb50de22f792b5f/dblp},
  ee = {https://www.wikidata.org/entity/Q117318801},
  interhash = {7fb8836b374935b2a6c9a72d3f99e231},
  intrahash = {ee3b6e6ffa48b1583cb50de22f792b5f},
  journal = {Int. J. Appl. Earth Obs. Geoinformation},
  keywords = {dblp},
  pages = {72-83},
  timestamp = {2024-04-09T02:21:41.000+0200},
  title = {Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves.},
  url = {http://dblp.uni-trier.de/db/journals/aeog/aeog54.html#BaumannORR17},
  volume = 54,
  year = 2017
}

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