Automated Author ProfileTian, Siyuan
Fenner School of Environment & Society, The Australian National University
Tian, Siyuan
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: 1.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This collection contains the land surface temperature (LST) data generated through MODIS-Landsat fusion for 12 OzFlux regions across Australia during 2013-2021. The area of each region is 100 × 100 km. The spatial resolution is 100 m and the temporal frequency is daily (around 10:30 am local solar time). This collection also provides the MODIS and Landsat data that were used as inputs into the fusion, as well as an independent LST collection from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) that was employed for cross-comparison.
Authors
- Yu, Yi ;
- Renzullo, Luigi ;
- McVicar, Tim ;
- Malone, Brendan ;
- Tian, Siyuan
This collection aims to provide land surface temperature (LST) data for benchmarking algorithmic refinements of spatiotemporal fusion approaches. It contains LST data generated through MODIS-Landsat fusion for 12 OzFlux regions across Australia during 2013-2021 (and Himawari-Landsat fusion for 3 OzFlux regions within southeast Australia during 2016-2021). The area of each region is 100 × 100 km. The spatial resolution is 100 m and the temporal frequency is daily (around 10:30 am local solar time). This collection also provides the MODIS (and Himawari) and Landsat data that were used as inputs into the fusion, as well as an independent LST collection from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) that was employed for cross-platform comparison. Several important updates within this version: - Updated the site description file with climate, land cover, and monthly emissivity values for each site. - Updated the OzFlux LST data using a new strategy. This strategy does not consider daylight saving time and does explicitly claim the 'seconds' timestep in the TOI (Time of Interests). Compared to the strategy used in our RSE paper, this strategy is expected to better coincide with the satellite overpass time. - Added MOD11A1 LST and viewtime data for the Australian continent during 2013-2021, with their native resolution of 1 km. Users can just simply clip the data to their targetted study areas. - Added the Himawari-Landsat fusion LST data for 3 OzFlux regions within southeast Australia during 2016-2021. The data format is identical to the MODIS-Landsat fusion LST data.
Authors
- Yu, Yi ;
- Renzullo, Luigi ;
- McVicar, Tim ;
- Malone, Brendan ;
- Tian, Siyuan