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    Dataset: Remote Sensing Indicators: Leaf Area Index (LAI)

    Alternate identifier:
    -
    Related identifier:
    (Is Part Of) 10.58160/gGzexcbDikobkyvK - DOI
    Creator/Author:
    Otte, Insa https://orcid.org/0000-0001-9704-9668 [University of Würzburg]
    Contributors:
    (Project Leader)
    Paeth, Heiko https://orcid.org/0000-0001-8145-4706 [University of Würzburg]

    (Work Package Leader)
    Thiel, Michael https://orcid.org/0000-0001-8350-0841 [University of Würzburg]

    (Project Member)
    Ziegler, Katrin https://orcid.org/0000-0002-9152-3135 [University of Würzburg]

    (Project Member)
    Abel, Daniel https://orcid.org/0000-0001-9663-3248 [University of Würzburg]
    Title:
    Remote Sensing Indicators: Leaf Area Index (LAI)
    Additional titles:
    (Alternative Title) Predicted monthly LAI calculated for the months from 07-1982 until 12.2021
    Description:
    (Abstract) Predicted monthly Leaf Area Index (LAI) dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective LAI values the STARFM algorithm was utilized in a Python environment. All available months are packed into one .zip file which can be (i) downloaded...
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    Keywords:
    Africa
    Vegetation
    Leaf area index (LAI)
    Related information:
    More information can be found in the text files of the head dataset (DOI:10.58160/gGzexcbDikobkyvK, see "IsPartOf DOI").
    Language:
    English
    Publishers:
    University of Würzburg
    Production year:
    Subject areas:
    Geography
    Remote Sensing
    Climate Modelling
    Resource type:
    Dataset
    Data source:
    -
    Software used:
    -
    Data processing:
    -
    Publication year:
    Rights holders:

    Dech, Stefan
    Funding:
    Federal Ministry of Education and Research - (Verbundprojekt WASCAL WRAP 2.0) 01LG2080A
    Name Storage Metadata Upload Action
    Status:
    Published
    Uploaded by:
    f113ed732410c1e4abcd44a1b517b491
    Created on:
    Archiving date:
    2024-09-24
    Archive size:
    2.0 GB
    Archive creator:
    851297a882a1411f214c593698f6a7b2
    Archive checksum:
    33b33269a9a882fb55c60faa842632cd (MD5)
    Embargo period:
    -