Automated Author Profilevan Natijne, Adriaan
0000-0001-9085-8921
van Natijne, Adriaan
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: 3.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The application of InSAR deformation measurements is feasible in a geometry sensitive to deformation. Our sensitivity index is a static analysis of the lower bound of the sensitivity of Sentinel-1 to the downslope deformation of a potential landslide.
The full process is explained in the linked paper (https://doi.org/10.1016/j.jag.2022.102829). Provided here is a global data set of the sensitivity index derived from the Copernicus digital elevation model (COP-DEM_GLO-30, 2019_1).
Individual sheets of 1°×1° are identified by their lower left corner in WGS84. Sheets are combined in archives of 10°×10°, numbered by the truncated sheet indices (e.g. S49_00_W053.tiff is in S40_W050.zip). A sheet index is provided in S_v1.gpkg and as an interactive map. No data is provided over Armenia and Azerbaijan, as these areas were not included in the public Copernicus data. The underlying Python script (20210208_CopernicusSpherical.py) is provided with the data.
Authors
- van Natijne, Adriaan ;
- bogaard, Thom ;
- van Leijen, Freek ;
- Hanssen, R.F. ;
- Lindenbergh, Roderik
The application of InSAR deformation measurements is feasible in a geometry sensitive to deformation. Our sensitivity index is a static analysis of the lower bound of the sensitivity of Sentinel-1 to the downslope deformation of a potential landslide.
The full process is explained in the linked paper (https://doi.org/10.1016/j.jag.2022.102829). Provided here is a global data set of the sensitivity index derived from the Copernicus digital elevation model (COP-DEM_GLO-30, 2019_1).
Individual sheets of 1°×1° are identified by their lower left corner in WGS84. Sheets are combined in archives of 10°×10°, numbered by the truncated sheet indices (e.g. S49_00_W053.tiff is in S40_W050.zip). A sheet index is provided in S_v1.gpkg and as an interactive map. No data is provided over Armenia and Azerbaijan, as these areas were not included in the public Copernicus data. The underlying Python script (20210208_CopernicusSpherical.py) is provided with the data.
Authors
- van Natijne, Adriaan ;
- bogaard, Thom ;
- van Leijen, Freek ;
- Hanssen, R.F. ;
- Lindenbergh, Roderik