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.
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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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