Analysis of CYGNSS data for soil moisture retrieval

MP Clarizia, N Pierdicca, F Costantini… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Data from the CYGNSS mission, originally conceived to monitor tropical cyclones, are being
investigated here for land applications as well. In this paper, a methodology for soil moisture …

An algorithm for detecting coherence in cyclone global navigation satellite system mission level-1 delay-Doppler maps

MM Al-Khaldi, JT Johnson, S Gleason… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
An algorithm for detecting coherence in Cyclone Global Navigation Satellite System
(CYGNSS) mission delay-Doppler maps (DDMs) is presented. Because CYGNSS DDMs …

Information fusion for GNSS-R wind speed retrieval using statistically modified convolutional neural network

W Guo, H Du, C Guo, BJ Southwell, JW Cheong… - Remote Sensing of …, 2022 - Elsevier
Spaceborne global navigation satellite system reflectometry (GNSS-R) has recently been
applied for wind speed retrieval over oceans, where the wind speed is often retrieved using …

[HTML][HTML] Review of Assimilating Spaceborne Global Navigation Satellite System Remote Sensing Data for Tropical Cyclone Forecasting

W Bai, G Wang, F Huang, Y Sun, Q Du, J Xia, X Wang… - Remote Sensing, 2025 - mdpi.com
Global Navigation Satellite System (GNSS) Radio Occultation (RO) and GNSS
Reflectometry (GNSS-R) are the two major spaceborne GNSS remote sensing (GNSS-RS) …

Statistical derivation of wind speeds from CYGNSS data

MP Clarizia, CS Ruf - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
In this article, a statistical methodology to estimate wind speed from CYGNSS observables is
proposed and implemented. The approach uses the cumulative distribution function (cdf) of …

Spaceborne GNSS-R wind speed retrieval using machine learning methods

C Wang, K Yu, F Qu, J Bu, S Han, K Zhang - Remote Sensing, 2022 - mdpi.com
This paper focuses on sea surface wind speed estimation using L1B level v3. 1 data of
reflected GNSS signals from the Cyclone GNSS (CYGNSS) mission and European Centre …

MF-ANN: A Novel Artificial Neural Network based Method for Ocean Wind Speed Retrieval on Spaceborne GNSS-R Signal

H Xie, X Cheng, S He, Y Li, J Pang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An artificial neural network (ANN) model-based method is proposed to retrieve the ocean
surface wind speed from cyclone global navigation satellite system (CYGNSS) L1 …

Research on time-correlated errors using allan variance in a Kalman filter applicable to vector-tracking-based GNSS software-defined receiver for autonomous ground …

Y Luo, J Li, C Yu, B Xu, Y Li, LT Hsu, N El-Sheimy - Remote Sensing, 2019 - mdpi.com
The global navigation satellite system (GNSS) has been applied to many areas, eg, the
autonomous ground vehicle, unmanned aerial vehicle (UAV), precision agriculture, smart …

TDS-1 GNSS reflectometry wind geophysical model function response to GPS block types

F Chen, X Zhang, F Guo, J Zheng, Y Nan… - Geo-Spatial …, 2022 - Taylor & Francis
This paper presents the TDS-1 GNSS reflectometry wind Geophysical Model Function (GMF)
response to GPS block types. The observables were extracted from Delay Doppler Maps …

Typhoon Maximum Sustained Wind Estimation Using Combined GNSS-Reflectometry and Scatterometer (CoGREAT): Initial Results from GNOS-R and WindRAD on …

X Wan, B Liu, Z Guo, Z Xia, T Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Global Navigation Satellite System-Reflectometry (GNSS-R) is capable of typhoon wind
speed detection, benefiting from its unique feature of L-band forward-scattered signal with …