Results 121 to 130 of about 83,591 (207)
Interferometric Synthetic Aperture Radar (InSAR) for Monitoring Seasonal Snow
Abstract Interferometric Synthetic Aperture Radar (InSAR) offers a potential pathway for measuring seasonal snow water equivalent (SWE) and snow depth at spatial and temporal scales needed for basin‐scale hydrology. First proposed for seasonal snow more than 25 years ago, InSAR uses repeat‐pass radar phase differences to estimate changes in SWE or ...
Jack Tarricone +17 more
wiley +1 more source
Investigating Layered Cratonic Lithosphere in the Fennoscandian Shield
Abstract Cold, thick, and chemically depleted lithosphere with high seismic velocity and low attenuation characterizes continental cratons. However, discrepancies between xenolith‐based thermal constraints and those inferred from surface‐wave seismic models, together with the widespread observation of mid‐lithosphere discontinuities, challenge the ...
Yiran Huang +2 more
wiley +1 more source
Analytical Modeling of Hot Ion Interchange Injections in Saturn's Magnetosphere
Abstract Cassini's CHarge Energy Mass Spectrometer (CHEMS) instrument collected energetic plasma data from 2004 to 2017, including hundreds of observations of small‐scale nearly dispersionless “local” injection events into the inner magnetosphere. This study assesses whether these interchange‐like injections are a channel‐like structure still connected
Michael W. Liemohn +4 more
wiley +1 more source
Present‐Day Kinematics of Continental Greece and Balkans Revealed by Sentinel‐1 InSAR Data
Abstract The Balkan Peninsula hosts the highest seismic activity in Europe, marked by numerous Mw6+ earthquakes in diverse tectonic settings. Assessing tectonic surface deformation is crucial to understand the forces controlling kinematics and, ultimately, constraining geodynamic models. However, because measuring slow velocity rates (a few mm/yr) with
A. Meridi +4 more
wiley +1 more source
Abstract Detecting surface changes on Venus by comparing Magellan synthetic aperture radar (SAR) data with future high‐resolution data from Envision and VERITAS will be essential for constraining present‐day volcanism and characterizing planetary surface processes.
Yao Gao +5 more
wiley +1 more source
Abstract Sparse reference station networks and severe geomagnetic disturbances can significantly degrade the accuracy of regional ionospheric delay modeling at the network side, thereby reducing the positioning performance of PPP‐RTK. To address this issue, this study proposes a machine learning‐based ionospheric delay grid modeling method that finely ...
Linyu He +6 more
wiley +1 more source
Azimuth Ambiguity Mitigation in SAR
Azimuth ambiguities occur during the acquisition of SAR data as alias effects and overlap with the useful signal, thus degrading its quality. In the case of data recorded with the F-SAR system of DLR, strong, point-like scatterers cause the worst azimuth
Grabs, Florian
core
Adapted Empirical Modeling of Near‐Sun Solar‐Wind Speeds for Use in Ensemble Forecasts
Abstract Solar wind science and forecasting relies on empirical relations between modeled coronal magnetic‐field structure—particularly flux‐tube expansion and distance to coronal hole boundary—and solar‐wind speed. There is lots of uncertainty in these relations, creating large uncertainties in the inner‐boundary conditions to heliospheric models ...
N. O. Edward‐Inatimi +7 more
wiley +1 more source
Artifact segmentation using the U‐Net architecture for powder X‐ray diffraction images
The capabilities of a U‐Net convolutional neural network for masking artifacts in time‐resolved X‐ray diffraction measurements of battery materials are demonstrated.Modern synchrotron X‐ray facilities generate X‐ray diffraction (XRD) image data at rates that far exceed the capacity of manual analysis, yet critical processing steps such as artifact ...
Albert Vong +9 more
wiley +1 more source
An Eikonal‐Based Angle‐Domain Least‐Squares Kirchhoff Depth Migration in General Anisotropic Media
ABSTRACT Least‐squares migration (LSM) is an inversion‐based imaging method that seeks a reflectivity model whose predicted data best fit the recorded seismic data in a least‐squares sense. However, conventional LSM can be unreliable for anisotropic reflection data if reflection angles are neglected.
Paulo H. B. Alves +3 more
wiley +1 more source

