GNSS reflectometry global ocean wind speed using deep learning: Development and assessment of CyGNSSnet

M Asgarimehr, C Arnold, T Weigel, C Ruf… - Remote Sensing of …, 2022‏ - Elsevier
Abstract GNSS Reflectometry (GNSS-R) is a novel remote sensing technique for the
monitoring of geophysical parameters using reflected GNSS signals from the Earth's surface …

Glows-net: A deep learning framework for retrieving global sea surface wind speed using spaceborne gnss-r data

J Bu, K Yu, X Zuo, J Ni, Y Li, W Huang - Remote Sensing, 2023‏ - mdpi.com
Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) is a new remote
sensing technology that uses GNSS signals reflected from the Earth's surface to estimate …

SNOOPI: Demonstrating Earth remote sensing using P-band signals of opportunity (SoOp) on a CubeSat

JL Garrison, MA Vega, R Shah, J Mansell… - Advances in Space …, 2023‏ - Elsevier
Abstract SigNals Of Opportunity: P-band Investigation (SNOOPI) will be the first in-space
demonstration of P-band (240-380 MHz) signals of opportunity (SoOp) remote sensing and …

Airborne gnss-r: A key enabling technology for environmental monitoring

A Perez-Portero, JF Munoz-Martin… - IEEE Journal of …, 2021‏ - ieeexplore.ieee.org
Weather forecast using GNSS-R relies, to a large extent, on data acquired by airborne and
spaceborne platforms due to the extended coverage that can be achieved. GEO satellites …

Deep Learning in Spaceborne GNSS Reflectometry: Correcting Precipitation Effects on Wind Speed Products

T **ao, C Arnold, D Zhao, L Mou… - IEEE Journal of …, 2024‏ - ieeexplore.ieee.org
Deep learning techniques have shown the capability in GNSS reflectometry (GNSS-R) for
retrieving geographical parameters based on GNSS-R observations. Recent studies have …

Analysis and mitigation of radio frequency interference in spaceborne GNSS ocean reflectometry data

F Huang, C Yin, J **a, X Wang, Y Sun… - … on Geoscience and …, 2023‏ - ieeexplore.ieee.org
With low signal power, Global Navigation Satellite System (GNSS) reflections in space are
vulnerable to radio frequency interference (RFI) across the globe which can contaminate …

The IEEE-SA working group on spaceborne GNSS-R: Scene study

H Carreno-Luengo, A Camps, C Ruf, N Floury… - IEEE …, 2021‏ - ieeexplore.ieee.org
The Institute of Electrical and Electronics Engineers (IEEE) Geoscience and Remote
Sensing Society (GRSS) created the GRSS “Standards for Earth Observation Technical …

An assessment of non-geophysical effects in spaceborne GNSS reflectometry data from the UK TechDemoSat-1 mission

G Foti, C Gommenginger, M Unwin… - IEEE Journal of …, 2017‏ - ieeexplore.ieee.org
An assessment of non-geophysical effects in spaceborne global navigation satellite system
reflectometry (GNSS-R) data from the UK TechDemoSat-1 (TDS-1) mission is presented …

Waveform-based spaceborne GNSS-R wind speed observation: Demonstration and analysis using UK TechDemoSat-1 data

F Wang, D Yang, B Zhang, W Li - Advances in Space Research, 2018‏ - Elsevier
This paper explores two types of mathematical functions to fit single-and full-frequency
waveform of spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) …

GNSS Signal Jamming as Observed From Radio Occultation

DL Wu - IEEE Journal of Selected Topics in Applied Earth …, 2024‏ - ieeexplore.ieee.org
The jamming is found to increase significantly in recent years, and its impact is evident in
Global Navigation Satellite System (GNSS) radio occultation (RO) measurements, such as …