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​Wenn Sie Interesse am FDM haben, sprechen Sie uns gerne an. Es ergeben sich spannende Möglichkeiten der Mitarbeit in unserem Team.

 

 

Aktuelles

  • Title: Datenworkshop am ZALF stärkt Bewusstsein für Forschungsdatenmanagement
    MehrLink: https://www.zalf.de/de/aktuelles/Seiten/CDP/Datenworkshop-am-ZALF.aspx, Mehr
    MyLinkPDFUrl:
    MyTextfeld:
    MyMeldungsdatum: 2025-11-05 10:00:00
    MyLabels:
    Struktureinheiten:Label:
    Datenworkshop am ZALF - Teilnehmende
    05.11.2025

    Datenworkshop am ZALF stärkt Bewusstsein für Forschungsdatenmanagement

  • Title: FAIRagro wächst weiter: Vier neue Partner und erfolgreiche Zwischenbilanz beim Jahrestreffen 2025
    MehrLink: https://www.zalf.de/de/aktuelles/Seiten/Pressemitteilungen/FAIRagro-Jahrestreffen-2025.aspx, Mehr
    MyLinkPDFUrl:
    MyTextfeld:
    MyMeldungsdatum: 2025-10-21 07:00:00
    MyLabels:
    Struktureinheiten:Label:
    FAIRagro Jahrestreffen 2025
    21.10.2025

    FAIRagro wächst weiter: Vier neue Partner und erfolgreiche Zwischenbilanz beim Jahrestreffen 2025

 

 

Daten des Monats

  • Title: Maize Phenometrics
    MehrLink: https://doi.org/10.4228/zalf-xmkx-3k66, View dataset
    MyLinkPDFUrl:
    MyTextfeld: <div class="ExternalClass5A6D49DA1D0242319444519ACFD06E1B"><p>Adjusted Vegetation Index) and retrieval methods (First-of-Slope, Median, Relative-Amplitude, and Seasonal-Amplitude), three maize phenometrics (SOS, POS, EOS) were derived from Sentinel-2 (S2) and Fused datasets (fusion of Sentinel-2 and PlanetScope data) for years 2021 and 2022. The pixel values refer to Day-of-Year (DOI) per phenological stage, clipped by fields and structured per test site and year. Note&#58; This dataset consists of many rasterdata within a zipfile. Please start the download as csv and our server will compile a zip package.​<br></p></div>
    MyMeldungsdatum:

    Maize Phenometrics

    Magdalena Main-Knorn, Claas Nendel, Laura Flores, Colja Krugmann, Leonardo Inforsato, Gohar Ghazaryan

    Adjusted Vegetation Index) and retrieval methods (First-of-Slope, Median, Relative-Amplitude, and Seasonal-Amplitude), three maize phenometrics (SOS, POS, EOS) were derived from Sentinel-2 (S2) and Fused datasets (fusion of Sentinel-2 and PlanetScope data) for years 2021 and 2022. The pixel values refer to Day-of-Year (DOI) per phenological stage, clipped by fields and structured per test site and year. Note: This dataset consists of many rasterdata within a zipfile. Please start the download as csv and our server will compile a zip package.​

    satellite-data (sentinel2 / copernicus; land surface phenology)

Maize Phenometrics

MyTitle: Maize Phenometrics
MyLinkAnsehenUrl: https://doi.org/10.4228/zalf-xmkx-3k66, View dataset
MyLinkPDFUrl:
MyTextfeld: <div class="ExternalClass5A6D49DA1D0242319444519ACFD06E1B"><p>Adjusted Vegetation Index) and retrieval methods (First-of-Slope, Median, Relative-Amplitude, and Seasonal-Amplitude), three maize phenometrics (SOS, POS, EOS) were derived from Sentinel-2 (S2) and Fused datasets (fusion of Sentinel-2 and PlanetScope data) for years 2021 and 2022. The pixel values refer to Day-of-Year (DOI) per phenological stage, clipped by fields and structured per test site and year. Note&#58; This dataset consists of many rasterdata within a zipfile. Please start the download as csv and our server will compile a zip package.​<br></p></div>
MyAutoren: Magdalena Main-Knorn, Claas Nendel, Laura Flores, Colja Krugmann, Leonardo Inforsato, Gohar Ghazaryan
MyMeldungsdatum:
NewWindow: MyEbene: 1 MyKategory:

Maize Phenometrics

Magdalena Main-Knorn, Claas Nendel, Laura Flores, Colja Krugmann, Leonardo Inforsato, Gohar Ghazaryan

Adjusted Vegetation Index) and retrieval methods (First-of-Slope, Median, Relative-Amplitude, and Seasonal-Amplitude), three maize phenometrics (SOS, POS, EOS) were derived from Sentinel-2 (S2) and Fused datasets (fusion of Sentinel-2 and PlanetScope data) for years 2021 and 2022. The pixel values refer to Day-of-Year (DOI) per phenological stage, clipped by fields and structured per test site and year. Note: This dataset consists of many rasterdata within a zipfile. Please start the download as csv and our server will compile a zip package.​

satellite-data (sentinel2 / copernicus; land surface phenology)

Multi-year crop yield data of silvoarable alley cropping ...

MyTitle: Multi-year crop yield data of silvoarable alley cropping (agroforesty) system in Brandenburg (DAKIS project)
MyLinkAnsehenUrl: https://doi.org/10.4228/zalf-1pf9-0v46, View dataset
MyLinkPDFUrl:
MyTextfeld: <div class="ExternalClassA4D2B7CFE91142488D72DF1934C0E73A"><p>This data collections contains yield data for different years and and the related coordinates for the project site DAKIS in Großmutz. Parallel to the agroforestry strips, the plot combine harvester drives a distance of around 5 m and then stops. The GNSS coordinates are determined using a GNSS device (the antenna of the GNSS device is marked with A in the figure) after stopping at the end position of the plot. The antenna is mounted above the cutting unit. The straw is collected on a straw scale and weighed, the grains are weighed, and the moisture content is determined. All data is stored in a continuous table. The plot length (marked C in the figure) is calculated from the distance to the previous point determined by GNSS. The plot width (marked B in the figure) corresponds to the working width of the harvester. After weighing, the straw is manually removed from the scale (recognizable in the picture as a haystack). For the next plot, the combine harvester now drives about 5m again and the process starts from the beginning. This table contains the index of all tables forming this data collection. Related datasets are listed in the metadata element 'Related Identifier'.</p>​​<br></div>
MyAutoren: Marco Donat
MyMeldungsdatum:
NewWindow: MyEbene: 1 MyKategory:

Multi-year crop yield data of silvoarable alley cropping (agroforesty) system in Brandenburg (DAKIS project)

Marco Donat

This data collections contains yield data for different years and and the related coordinates for the project site DAKIS in Großmutz. Parallel to the agroforestry strips, the plot combine harvester drives a distance of around 5 m and then stops. The GNSS coordinates are determined using a GNSS device (the antenna of the GNSS device is marked with A in the figure) after stopping at the end position of the plot. The antenna is mounted above the cutting unit. The straw is collected on a straw scale and weighed, the grains are weighed, and the moisture content is determined. All data is stored in a continuous table. The plot length (marked C in the figure) is calculated from the distance to the previous point determined by GNSS. The plot width (marked B in the figure) corresponds to the working width of the harvester. After weighing, the straw is manually removed from the scale (recognizable in the picture as a haystack). For the next plot, the combine harvester now drives about 5m again and the process starts from the beginning. This table contains the index of all tables forming this data collection. Related datasets are listed in the metadata element 'Related Identifier'.

​​
silvoarable alley cropping (agroforesty)

 

Themen der Datenveröffentlichungen

Alle Daten im Repositorium sind mit AGROVOC Keywords beschrieben. Die hier dargestellte Wordcloud gibt einen Überblick über die Themenbereiche, zu denen Sie Daten finden können (3064 Keywords als Basis).

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