A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE

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A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE SHYAM BORIAH*, VARUN MITHAL*, ASHISH GARG*, VIPIN KUMAR*, MICHAEL STEINBACH*, CHRIS POTTER**, AND STEVE KLOOSTER*** Abstract. Ecosystem-related observations from remote sensors on satellites offer huge potential for understanding the location and extent of global land cover change. This paper presents a comparative study of three time series based algorithms for detecting changes in land cover. The techniques are evaluated quantitatively using forest fire ground truth from the state of California for 2000–2009. On relatively high quality data sets, all three schemes perform reasonably well, but their ability to handle noise and natural variability in the vegetation data differs dramatically. In particular, one of the algorithms significantly outperforms the other two since it accounts for variability in the time series.

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33 A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE https://c3.nasa.gov/dashlink/static/media/publication/Paper_14_.pdf
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2F7FILV218JZA2
21 Direct download via HTTPS protocol. https://n5eil01u.ecs.nsidc.org/OTHR/NSIDC-0764.001/
21 Search and filter data files using a map-based interface https://nsidc.org/data/data-access-tool/NSIDC-0764/versions/1/
21 NASA's newest search and order tool for subsetting, reprojecting, and reformatting data. https://search.earthdata.nasa.gov/search?q=NSIDC-0764+V001
21 Provides access to data, documentation, tools, citation information, support, and other resources. https://doi.org/10.5067/7FILV218JZA2
21 Includes a user's guide, supplemental documents like ATBDs and academic papers, How Tos, FAQs, etc. https://doi.org/10.5067/7FILV218JZA2

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  • dashlink
  • nasa
  • ames

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