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  2. Remote Sensing Indicators: Normalized Difference Vegetation Index (NDVI)
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    Datenpaket: Remote Sensing Indicators: Normalized Difference Vegetation Index (NDVI)

    Alternativer Identifier:
    -
    Verwandter Identifier:
    (Is Part Of) 10.58160/gGzexcbDikobkyvK - DOI
    Ersteller/in:
    Beitragende:
    (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]
    Titel:
    Remote Sensing Indicators: Normalized Difference Vegetation Index (NDVI)
    Weitere Titel:
    (Alternative Title) Predicted monthly NDVI calculated for the months from 06-1981 until 12-2021
    Beschreibung:
    (Abstract) Predicted monthly Normalized Difference Vegetation Index (NDVI) dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the restrospective NDVI vaules the STARFM algorithm was utilized in a Python environment. All available months are packed into one .zip file which can be (i) downloaded and (ii) extracted using free and open standard software (e.g. 7-zip).
    Schlagworte:
    Africa
    Vegetation
    Normalized difference vegetation index (NDVI)
    Zugehörige Informationen:
    More information can be found in the text files of the head dataset (DOI:10.58160/gGzexcbDikobkyvK, see "IsPartOf-DOI").
    Sprache:
    Englisch
    Herausgeber/in:
    University of Würzburg
    Erstellungsjahr:
    Fachgebiet:
    Geography
    Remote Sensing
    Climate Modelling
    Objekttyp:
    Dataset
    Datenquelle:
    -
    Verwendete Software:
    -
    Datenverarbeitung:
    -
    Erscheinungsjahr:
    Rechteinhaber/in:

    Dech, Stefan
    Förderung:
    Federal Ministry of Education and Research - (Verbundprojekt WASCAL WRAP 2.0) 01LG2080A
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    f113ed732410c1e4abcd44a1b517b491
    Erstellt am:
    Archivierungsdatum:
    2024-09-24
    Archivgröße:
    1,0 GB
    Archiversteller:
    851297a882a1411f214c593698f6a7b2
    Archiv-Prüfsumme:
    a807fd5b453e26a4f67c9661dd08337a (MD5)
    Embargo-Zeitraum:
    -