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    • A COMPARATIVE STUDY OF ALGORITHMS FOR LAND COVER CHANGE

    Metadata Updated: April 11, 2025

    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.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date April 11, 2025
    Data Update Frequency irregular

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date April 11, 2025
    Publisher Dashlink
    Maintainer
    Identifier DASHLINK_236
    Data First Published 2010-10-13
    Data Last Modified 2025-04-01
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id bea9a4e5-bfcb-4b5f-a8fb-c336d7285719
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://c3.nasa.gov/dashlink/resources/236/
    Program Code 026:029
    Source Datajson Identifier True
    Source Hash a603388f6f04d69e10f36902e070d755510e7147a61edc7f403acf511d4cdc3e
    Source Schema Version 1.1

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