SWECO25: Vegetation (vege)

The vegetation category contains the "copernicus" and "nfi" datasets. 

The copernicus dataset describes the dominant leaf type. After reprojecting and resampling the “High Resolution Layer: Dominant Leaf Type” (DLT) source data (EEA, 2018) to the SWECO25 grid, we generated individual layers for the two available categories (coniferous and deciduous). We provided the binary maps for (0 or 1) for each of them and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given category in a circular moving window of 13 radii ranging from 25m to 5km. Final values were rounded and multiplied by 100.

The nfi dataset describes the height of the vegetation canopy. After reprojecting and resampling the source data (Ginzler, 2021) to the SWECO25 grid with three resampling schemes (maximum, minimum, and median values), we generated and provided the three individual layers. In addition, for each of them, we provided 13 focal statistics layers obtained by applying a cell-level function calculating the average canopy height value in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 42 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_vege.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References:

European Environment Agency [EEA]. Copernicus Land Monitoring Service - High Resolution Layer Forest. (Copenhagen, Denmark, 2018).

Ginzler, C. Vegetation Height Model (National Forest Inventory). (Birmensdorf, Switzerland, 2021)

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update