Automated Author ProfileMarinkovic, Petar
PPO.labs
Marinkovic, Petar
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: 7.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Results DescriptionBackgroundA 6.2M earthquake hit Central Italy, the area of city of Amatrice, on 24 August 2016. The quake epicentre was southeast of Norcia, Italy, in an area near the borders of the Umbria, Lazio, Abruzzo and Marche regions. The quake hypocentre was at a depth of approximately 5 km.InSARWe computed a set of coseismic Sentinel-1A/B interferograms, over the affected area.Descending track 95: S1A (2016-08-26) / S1A (2016-08-14)Descending track 22: S1A (2016-08-21) / S1B (2016-08-27)Ascending track 117: S1B (2016-08-21) / S1A (2016-08-27)Earthquake Motion DecompositionWe also performed the two-dimensional earthquake motion decomposition. As an input for the decomposition, data of tracks 22 descending and 117 ascending were used, since they provide the full coverage of the earthquake.Results and Data PackageDescending Interferogram, Track 95:Goldstein filtered wrapped interferometric phase, 16x4 ML (KMZ format)Interferometric coherence (KMZ format)Descending Interferogram, Track 22:Goldstein filtered wrapped interferometric phase, 16x4 ML (KMZ format)Interferometric coherence (KMZ format)Full geo-coded Goldstein filtered wrapped interferogram, 16x4 ML (GeoTiff format)Intereferorgram subset (GeoTiff format)Specifically for subset: 8x2 ML + goldstein + unwrapping + geocoding, incl oversampling to 10 m + smoothing (5x5 pixel boxcar) + subsampling to ~50m + calibrated at the point at used for 2D decompositionAscending Interferogram, Track 117:Goldstein filtered wrapped interferometric phase, 16x4 ML (KMZ format)Interferometric coherence (KMZ format)Full geo-coded Goldstein filtered wrapped interferogram, 16x4 ML (GeoTiff format)Intereferorgram subset (GeoTiff format, 7Mb zip file)Specifically for subset: 8x2 ML + goldstein + unwrapping + geocoding, incl oversampling to 10 m + smoothing (5x5 pixel boxcar) + subsampling to ~50m + calibrated at the point at used for 2D decompositionDecomposed SolutionVertical Component (KMZ format)East-West Component (KMZ format)Vertical Component (GeoTiff format)East-West Component (GeoTiff format)Additional InformationFilenames are self descriptive and not require additional informationKMZ and GeoTiff files that are available for download, are generated for high-resolution investigations in GoogleEarth and post-processing & interpretation. They are not prepared for overviews, and thus are not heavily smoothed nor filtered.Terms and Conditions: All Sentinel-1 results that are available for download are Derived Works of Copernicus data (2014-2016), subject to the "TERMS AND CONDITIONS FOR THE USE AND DISTRIBUTION OF SENTINEL DATA AND SERVICE INFORMATION".Acknowledgments: ESA SEOM InSARap project - Sentinel-1 InSAR Performance Study with TOPS Data, contract number 4000110680/14/I-BG-InSARapMore information and context available at insarap.org .
Authors
- Marinkovic, Petar ;
- Larsen, Yngvar
RESULTS DESCRIPTIONRecent reports from scientific and mainstream media have indicated that the city of Beijing, together with its surroundings, is subsiding at fast and alarming rate as result of the overexploitation of groundwater. The depletion of groundwater causes underlying soil to compact, creating a phenomenon called subsidence. The Beijing region has been experiencing this phenomenon since 1935, but in last years the rate of sinking has significantly increased.A team of researchers, within ESA sponsored, SEOM InSARap project performed an interferometric analysis of Copernicus Sentinel-1 data which confirms the reported findings also with current data. While the results speak for themselves, we can just once more reiterate on the usefulness of the Copernicus Programme, in this case for deformation monitoring applications.ANALYSIS SUMMARYData overview:Sentinel-1 IWTrack 47 descendingObservation window December 2014 - June 2016Data download via Scientific Data HubProcessing overview:Time series analysis performed with Small Baseline Subset (SBAS) methodologyInterferometric combinations of up to 96 days usedMore information and context available at insarap.orgTerms and Conditions: All Sentinel-1 results that are available for download are Derived Works of Copernicus data (2014-2016), subject to the "TERMS AND CONDITIONS FOR THE USE AND DISTRIBUTION OF SENTINEL DATA AND SERVICE INFORMATION".Acknowledgments: ESA SEOM InSARap project - Sentinel-1 InSAR Performance Study with TOPS Data, contract number 4000110680/14/I-BG-InSARap
Authors
- Marinkovic, Petar ;
- Larsen, Yngvar