High-resolution surface topographic change analyses to characterize a series of underground explosions
Not Available
58 GEOSCIENCES↗
Engineering topics
Vigil, Steven R.
Publications and source records attributed to Vigil, Steven R..
Spectral and polarimetric remote sensing for CBRNE applications
Explore the source record for details and available documents.
Anderson, Dylan↗
Sandia National LaboratoriesOil & Gas Upstream Program Overview.
Abstract not provided.
Vigil, Steven R.↗
Using Unmanned Aerial Systems to Collect Hyperspectral Imagery and Digital Elevation Models at a Legacy Underground Nuclear Explosion Test Site.
Abstract not provided.
Craven, Julia M.↗
Using Unmanned Aerial Systems to Collect Hyperspectral Imagery and Digital Elevation Models at a Legacy Underground Nuclear Explosion Test Site.
Abstract not provided.
Craven, Julia M.↗
SPE-5 Lidar Error Analysis.
All analysis was performed using data provided to SNL in June, 2016.
47 OTHER INSTRUMENTATION↗
Synergistic Chem-Bio Detection/Classification Combining UV LIF and IR LIDAR (SV)
The objective of this project was to determine if adding data products from Sandia’s Ares laser-induced fluorescence (LIF) system to those from Lockheed Martin Coherent Technologies’ Prototype WANDER Laser Radar (PROWLR) system produces an overall system with an improved ability to discriminate between aerosol-dispersed surrogates of chemical and biological agents and aerosol-dispersed background materials such as dust and smoke from burning wood, diesel fuel, and other common materials. The results of this work demonstrate that the addition of LIF information to PROWLR information significantly improves discrimination performance with respect to either LIF-only or PROWLR-only performance. The primary improvement is a dramatic improvement in false positive, where the best-performing combination of LIF/PROWLR data products improved false positive performance to 6.4% from 20.6% (PROWLR-only) and 11% (LIF-only). It is important to note that the improvement in false positive performance does not come at the expense of true positive performance which remains high at 93%. Sandia, DOE, and the government have benefitted from this project by building capabilities generating supervised machine learning and also in working closely and building professional relationships with private industry partners. Sandia’s CRADA partner benefitted by utilizing Sandia’s expertise to help accomplish work that will be beneficial to their business prospects in the future by allowing the knowledge gained by the CRADA interaction to provide them with a differentiating capability from potential competitors. The public and taxpayers will ultimately benefit from the knowledge has been gained that can be applied for public safety purposes in terms of producing systems with improved capabilities to detect threats to the public from the deployment of chemical and/or biological weapons.
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
Airborne and Ground-Based Optical Characterization of Legacy Underground Nuclear Test Sites.
Abstract not provided.
Anderson, Dylan Zachary↗