Results 161 to 170 of about 26,941 (300)

Smartphone Carrier Phase TEC: A Study Across Ionospheric Spatio‐Temporal Scales

Space Weather, Volume 24, Issue 5, May 2026.
Abstract This study explores the potential of dual‐frequency smartphones as accessible tools for citizen science in ionospheric research. While prior work by Smith et al. (2024, https://doi.org/10.1038/s41586‐024‐08072‐x) demonstrated global ionospheric monitoring using aggregated pseudorange Total Electron Content (TEC) data from millions of Android ...
Nina Servan‐Schreiber, Vincent Ledvina, Joshua Semeter, Jeremy Kuzub, Michael Hirsch, Meghan LeMay, Kshitij Duraphe, Jen‐Hsin Chiao, Yafei Chen, Joaquín Díaz Peña   +9 more
wiley   +1 more source

Integrating optical and radar satellite data for conflict-related change detection in Ukraine. [PDF]

Sci Rep
Karwowska K, Slesinski J, Sekrecka A, Smiarowski M, Metsoja K.   +4 more
europepmc   +1 more source

Fine‐Scale Structure and Kinematics of an Active Submarine Strike‐Slip Fault From Micro‐Bathymetric Mapping and Analog Modeling: The North Alfeo Fault Offshore Catania (Eastern Sicily)

Tectonics, Volume 45, Issue 5, May 2026.
Abstract Southern Italy and eastern Sicily have been the site of several destructive historical earthquakes. Here at the junction between the western edge of the Calabrian subduction zone and the Malta Escarpment several strike‐slip faults have been mapped, which may be the surface expression of the lateral slab tear fault and are candidate sources for
M.‐A. Gutscher, S. Dominguez, N. Babonneau, A. Gaillot, G. Barreca   +4 more
wiley   +1 more source

A New Criterion Construction and Verification for GNSS Satellite Selection Based on Near-Real-Time Accuracy. [PDF]

Sensors (Basel)
Zuo Y, Yao Y, Hu M.
europepmc   +1 more source

Snow Water Storage Within Eight Pacific Coastal Watersheds in British Columbia (Canada) Inferred From Four Years of Airborne Lidar Data

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Maritime mountain snowpacks are among the least understood and most poorly quantified components of global snow water storage, despite their vital role in sustaining water supplies and ecosystem health. Here, we present a 4‐year record of snow mass distribution across eight small‐to‐medium‐sized (5.2–63.4 km2) watersheds within the coastal ...
R. Bisset, W. C. Floyd, B. Menounos, A. Bishop, S. Marchenko, G. Fisk, A. Cebulski, P. Marshall, D. Heathfield, S. Beffort, R. White, S. Gonzalez Arriola, N. Viner   +12 more
wiley   +1 more source

BDSet: A First-ever BDS Satellite-based PPP Augmentation Dataset Since 2023. [PDF]

Sci Data
Ouyang C, Shi J, Hou C, Peng W, Guo J, Yao Y.   +5 more
europepmc   +1 more source

Integrating GRACE and InSAR Data to Assess Land Surface Displacement From Managed Aquifer Recharge

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Satellite‐based monitoring of groundwater changes and their surface effects is crucial for understanding hydrological processes and managing water resources in an era of increasing water scarcity. The Gravity Recovery and Climate Experiment follow‐on (GRACE‐FO) mission provides global measurements of terrestrial water storage anomalies, while ...
Ikechukwu Kalu, Pascal Castellazzi, Christopher E. Ndehedehe, Vagner G. Ferreira, Sreekanth Janardhanan, Matthew Currell, Mark J. Kennard   +6 more
wiley   +1 more source

Bathymetry of the Philippine sea with convolution neural network from multisource marine geodetic data. [PDF]

iScience
Guo J, Zhou S, Guo J.
europepmc   +1 more source

GRACE TWSA Data Assimilation in Land Surface Models‐The Role of State Vector and Model Uncertainty Representation

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Data assimilation (DA) of terrestrial water storage anomalies (TWSA) from the GRACE and GRACE Follow–On (GRACE/–FO) satellite missions has become a valuable tool for improving large‐scale hydrological and land surface model (LSM) simulations.
Yorck Ewerdwalbesloh, Carsten Montzka, Jürgen Kusche, Anne Springer   +3 more
wiley   +1 more source

GIS-based neural network framework for zoonotic cutaneous leishmaniasis risk mapping in Western Iran. [PDF]

Environ Monit Assess
Parto Dezfooli F, Valadan Zoej MJ, Youssefi F, Alatab S, Ghaderpour E.   +4 more
europepmc   +1 more source