Automated Author ProfileKoch, Tiziana
Swiss Federal Institute for Forest, Snow and Landscape Research WSLUniversity of Zurich
Koch, Tiziana
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A rule-based algorithm (Schwieder et al., 2022) was used to produce annual maps for 2018–2021 of grassland-management events, i.e. mowing and/or grazing, for Switzerland using Sentinel-2 and Landsat 8 satellite time series. All satellite images were processed with the FORCE framework.The resulting maps provide information on the number and timing of grassland-management events at a spatial resolution of 10 m × 10 m for the whole of Switzerland. For the final maps, permanent grasslands were masked using a variety of land-use layers, according to Huber et al. (2022) but replacing the crop mask with the agricultural-use data from the cantons.We assessed the detection of management events based on independent reference data, which we acquired from daily time series of publicly available webcams that are widely distributed across Switzerland. We further tested the ecological relevance of the generated intensity measures in relation to nationwide biodiversity data (see Weber et al., 2023).The webcam-based reference data used for verification was subsequently added on 14.02.2024.
Authors
- Weber, Dominique ;
- Schwieder, Marcel ;
- Ritter, Lukas ;
- Koch, Tiziana ;
- Psomas, Achilleas ;
- Huber, Nica ;
- Ginzler, Christian ;
- Boch, Steffen