Results 71 to 80 of about 431,526 (216)

Envisat RA-2 Individual Echoes: A Unique Dataset for a Better Understanding of Inland Water Altimetry Potentialities

Remote Sensing, 2017
The exploitation of synthetic aperture properties in nadir-looking radars is opening new scenarios in the framework of satellite radar altimetry. Both recent and upcoming missions including Cryosat-2, Sentinel-3, Sentinel-6 and SWOT take benefit from the
Ron Abileah, Andrea Scozzari, Stefano Vignudelli   +2 more
doaj   +1 more source

Validation of Copernicus Sea Level Altimetry Products in the Baltic Sea and Estonian Lakes

Remote Sensing, 2020
Multi-mission satellite altimetry (e.g., ERS, Envisat, TOPEX/Poseidon, Jason) data have enabled a synoptic-scale view of ocean variations in past decades.
Aive Liibusk, Tarmo Kall, Sander Rikka, Rivo Uiboupin, Ülo Suursaar, Kuo-Hsin Tseng   +5 more
doaj   +1 more source

Robust Regional Contrast but Penetration‐Sensitive Snow Thickness Over Sea Ice From Multi‐Winter Antarctic CRYO2ICE Observations

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Snow on Antarctic sea ice modulates albedo, thermodynamic growth, and snow–ice formation, yet remains a leading uncertainty in altimetry‐derived sea‐ice thickness. Here we use the post‐2022 CRYO2ICE configuration to derive along‐track winter snow thickness from ICESat‐2 laser and CryoSat‐2 Ku‐band radar freeboards over the Weddell and Ross ...
Xinlong Liu, Alexander D. Fraser, Rachel L. Tilling, Petra Heil, Stuart P. Corney   +4 more
wiley   +1 more source

Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives

Remote Sensing, 2019
Spaceborne radar altimeters record echo waveforms over all Earth surfaces, but their interpretation and quantitative exploitation over the Arctic Ocean is particularly challenging. Radar returns may be from all ocean, all sea ice, or a mixture of the two,
G. Quartly, E. Rinne, M. Passaro, O. Andersen, S. Dinardo, S. Fleury, Amandine Guillot, S. Hendricks, A. Kurekin, F. Müller, R. Ricker, H. Skourup, M. Tsamados   +12 more
semanticscholar   +1 more source

Assessing GNSS Reflectometry for High‐Latitude 3D Ionospheric Imaging

Journal of Geophysical Research: Space Physics, Volume 131, Issue 8, August 2026.
Abstract This study investigates whether Global Navigation Satellite System Reflectometry (GNSS‐R) measurements from low‐Earth‐orbit (LEO) satellites can improve three‐dimensional (3D) ionospheric electron density imaging, with a focus on high‐latitude regions. Conventional ionospheric tomography is limited by sparse ground‐based receiver coverage over
Brenna Royersmith, Brian Breitsch, Jade Y. Morton   +2 more
wiley   +1 more source

The Impact of Data Resolution on Planetary Compressional Structure Analysis

Journal of Geophysical Research: Planets, Volume 131, Issue 8, August 2026.
Abstract Planetary studies of compressional structures are fundamental for understanding the tectonics and thermal evolution of planetary bodies. Compressional features are commonly characterized by their morphology, which in turn is strongly dependent on the spatial resolution of topographic data.
F. Carboni
wiley   +1 more source

Ocean Surface Topography Altimetry by Large Baseline Cross-Interferometry from Satellite Formation

Remote Sensing, 2020
Imaging Radar Altimeter (IRA) is the current development tendency for ocean surface topography (OST) altimetry, which utilizes Synthetic Aperture Radar (SAR) and interferometry to improve the spatial resolution of OST to several kilometers or even better.
Weiya Kong, Bo Liu, Xiaohong Sui, Running Zhang, Jinping Sun   +4 more
doaj   +1 more source

High-Resolution Mass Trends of the Antarctic Ice Sheet through a Spectral Combination of Satellite Gravimetry and Radar Altimetry Observations

Remote Sensing, 2019
Time-variable gravity measurements from the Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) missions and satellite altimetry measurements from CryoSat-2 enable independent mass balance estimates of the Earth’s glaciers and ...
I. Sasgen, H. Konrad, V. Helm, K. Grosfeld   +3 more
semanticscholar   +1 more source

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou, Chentong Zhang, Alek Petty, Xianwei Wang, Ruibo Lei, Wenxuan Liu, Yu Zhang   +6 more
wiley   +1 more source

Tracking the Mekong river’s water levels with satellite radar altimetry

Discover Water
For hydrologic research, river water levels and discharges are essential variables. This study uses satellite radar altimetry to monitor water levels in the Mekong River.
Tauqeer Ali, Arjumand Zaidi, Sumaira Zafar, Saif Haider, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq   +5 more
doaj   +1 more source