Project Recover used autonomous underwater vehicles to identify, access, and image hard-to-reach World War II wreckage sites near the Northern Mariana Islands.
Testing a Machine Learning Approach to Geophysical Inversion
Variational autoencoders can be leveraged to provide an effective method of inversion that is both accurate and computationally efficient.
With MeerKAT, Astronomers Peer at the Possibilities of Radio Imaging
Stunning images of the center of the Milky Way showcase technology and techniques that may be a starting point for more discoveries.
High-Definition Imaging of the Subsurface with Cosmic Ray Muons
A new book describes muography, an imaging technique that can be used to visualize the internal density composition of geological structures.
New Inversion Method Improves Earthquake Source Imaging
A new method uses Bayesian inference to jointly invert for non-planar fault geometry and spatially variable slip (with associated uncertainties) in earthquake source modeling, based on geodetic data.
Reconstructing Rocks with Machine Learning
Machine learning can be used to accurately reconstruct high-resolution, 3D images of rocks from 2D cross-sections, which opens the door to more detailed simulations.
Citizen Scientists Observe Mysterious Green Streaks Below STEVE
Citizen scientists provided images of sub-auroral STEVE (Strong Thermal Emission Velocity Enhancements) showing fine-scale green features with narrow streaks propagating poleward toward STEVE.
The “Complicated” Complexity of Solar Storms
Researchers turned to crowdsourced science to identify patterns in coronal mass ejections.
Taking an Aerial View Underground
Wisconsin geologists are testing using drones equipped with thermal cameras to measure shallow soil depths in areas prone to groundwater contamination.
Ensemble Modeling of Coronal Mass Ejection Arrival at 1 AU
Heliospheric imaging data can be used in ensemble modeling of CME arrival time at Earth to improve space weather forecasts, treating the solar wind as a 1-D incompressible hydrodynamic flow.