LAMASUS NUTS-level biophysical data
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Description
This dataset comprises spatial biophysical data regarding aspect, elevation and slope derived from https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model and topsoil properties derived from https://esdac.jrc.ec.europa.eu/content/topsoil-physical-properties-europe-based-lucas-topsoil-data to the NUTS regions across Europe. The dataset consists of two files, each corresponding to a different level of NUTS coding (NUTS 2/3).
For each file, the following columns are included:
- NUTS Code (NUTS): The unique identifier for the NUTS region.
- Aspect (aspect): The mean aspect in degree for the given region.
- Elevation (elevation): The mean elevation in meter for the given region.
- Slope (slope): The mean slope in degree for the given region.
- - 16. Topsoil (0-20cm) properties: Shares of respective USDA soil textural class derived from clay, silt and sand maps in per cent for the given region.
The spatial dimension is identified by NUTS2/3 (2016) codes.
This dataset has been created as part of LAMASUS Project under the scope of Deliverable 3.2 titled "Database on EU policies and payments for agriculture, forest, and other LUM related drivers ". The data is directly linked to the work described on pages 47-49, belonging to section 3.4 Biophysical data. The full text of the deliverable can be accessed via: https://www.lamasus.eu/wp-content/uploads/LAMASUS_D3.2_policy-and-payment-database.pdf.
Please note that this dataset is intended for research and analysis in the fields of climatology, environmental science, and related disciplines. Users are encouraged to cite this dataset appropriately if utilized in academic or scientific publications.
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NUTS2_EU_biophysical_LAMASUS.csv
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Additional details
Related works
- Is derived from
- Dataset: https://esdac.jrc.ec.europa.eu/content/topsoil-physical-properties-europe-based-lucas-topsoil-data (URL)
- Dataset: 10.5270/ESA-c5d3d65 (DOI)
Funding
References
- Ballabio C., Panagos P., Montanarella L. Mapping topsoil physical properties at European scale using the LUCAS database (2016) Geoderma, 261 , pp. 110-123. DOI: https://doi.org/10.1016/j.geoderma.2015.07.006