Automated Author ProfileHartley, Jonathan
Lockheed Martin Space
Hartley, Jonathan
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: 0.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A deep understanding of planetary habitability requires identifying key factors that govern the surface environment over time. Venus is the ultimate control case for understanding how Earth developed and maintained conditions suited to life. Venus is very likely to have had elements essential to habitability such as (past) surface water and a dynamo. Tectonism and volcanism, which create chemical disequilibrium, very likely persist today. What caused these planets to diverge down different evolutionary paths? VERITAS would create foundational, co-registered data sets of high-resolution topography, imaging, spectroscopy, and gravity, on par with those available for Mercury, Mars, and the Moon. VERITAS would answer outstanding fundamental questions about the evolution of Earth’s twin.The VERITAS payload would consist of the Venus Interferometric Synthetic Aperture Radar (VISAR) and the Venus Emissivity Mapper (VEM), plus a gravity science investigation. VISAR is an X-band radar that would provide: 1) a global digital elevation model (DEM) with 250-m postings and 6 m height accuracy, 2) Synthetic aperture radar (SAR) imaging at 30-m horizontal resolution globally, 3) SAR imaging at 15-m resolution for >25% of the surface, and 4) surface deformation from repeat pass interferometry (RPI) with 2-cm vertical precision for >12 (~200 x 200 km) targeted areas. VEM would cover >70% of the surface in six near infrared (NIR) bands sensitive to iron mineralogy located within five atmospheric windows, plus eight atmospheric bands for calibration and water vapor measurements. VEM would provide near global maps of mafic to felsic rock type and search for active and recent volcanism.VERITAS would use two-way Ka-band uplink and downlink from a low circular orbit (< 250 km) to create a global gravity field with 3-mGal accuracy of 155-km resolution (degree and orderw 123). An onboard technology demonstration, the Deep Space Atomic Clock (DSAC-2), may support radio science and navigation with one-way tracking. VERITAS data would enable estimation of elastic thickness (a proxy for thermal gradient) and density differences due to subsurface processes (e.g., rifts, small plumes), as well as constraining interior structure, including core size and state.Lockheed Martin would build the spacecraft. VISAR would be built by JPL, with the Italian Space Agency (ASI) providing the low power electronics. ASI would also provide transponders and a high gain antenna for the telecom system, and CNES would provide the Ka-band traveling wave tube amplifiers (TWTA). The German Space Agency (DLR) would provide the VEM instrument and contribute algorithms for VISAR ground and onboard data processing
Authors
- Smrekar, Suzanne ;
- Hensley, Scott Hensley ;
- Nybakken, Rick Nybakken, ;
- Wallace, Mark ;
- Perkovic-Martin, Dragana ;
- You, Tung-Han ;
- Brophy, John ;
- Ely, Todd ;
- Burt, Eric ;
- Miller, Barry ;
- Hartley, Jonathan ;
- Kallemeyn, Piet ;
- Dyar, Melinda Darby ;
- Helbert, Joern ;
- Iess, Luciano ;
- Mazarico, Erwan ;
- Younis, Marwan