SWECO25: Remote Sensing (rs)

The remote-sensing indices category contains the "sdc" dataset. The sdc dataset (remote-sensing indices category) provides data on vegetation indices in Switzerland. After reprojecting and resampling data from the Swiss Data cube (Chatenoux et al., 2021) to the SWECO25 grid, we generated mean and standard deviation layers for five indices (NDVI, NDWI, LAI, GCI, and EVI) at a yearly time step for the 1996-2021 period, when available. This dataset includes a total of 243 layers. Final values were rounded and multiplied by 100. However, for layers that were initially multiplied by 1000 (LAI, GCI, EVI), they were divided by 10 instead. The detailed list of layers available is provided in SWECO25_datalayers_details_rs.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: Chatenoux, B. et al. The Swiss data cube, analysis ready data archive using earth observations of Switzerland. Scientific data 8, 295 (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