Sea ice remote sensing using GNSS-R: A review

Q Yan, W Huang - Remote Sensing, 2019 - mdpi.com
Knowledge of sea ice is critical for offshore oil and gas exploration, global shipping
industries, and climate change studies. During recent decades, Global Navigation Satellite …

Ocean Remote Sensing Using Spaceborne GNSSReflectometry: A Review

J Bu, X Liu, Q Wang, L Li, X Zuo, K Yu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Spaceborne global navigation satellite system reflectometry (GNSS-R) is an emerging
remote sensing technology that utilizes Earth surface reflections of GNSS signals to monitor …

Spaceborne GNSS-R sea ice detection using delay-Doppler maps: First results from the UK TechDemoSat-1 mission

Q Yan, W Huang - IEEE journal of selected topics in applied …, 2016 - ieeexplore.ieee.org
In this paper, a scheme is presented for detecting sea ice from Global Navigation Satellite
System-Reflectometry (GNSS-R) delay-Doppler maps (DDM). Less spreading along delay …

Sea target detection using spaceborne GNSS-R delay-Doppler maps: Theory and experimental proof of concept using TDS-1 data

A Di Simone, H Park, D Riccio… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
This study addresses a novel application of global navigation satellite system-reflectometry
(GNSS-R) delay-Doppler maps (DDMs), namely sea target detection. In contrast with other …

A machine learning method for inland water detection using CYGNSS data

P Ghasemigoudarzi, W Huang… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
The inland water bodies are critical components of ecosystems and hydrologic cycles. Thus,
the water extent data are crucially important for hydrological and ecological studies. Due to …

Detecting sea ice from TechDemoSat-1 data using support vector machines with feature selection

Q Yan, W Huang - IEEE journal of selected topics in applied …, 2019 - ieeexplore.ieee.org
In this paper, a framework that employs support vector machines (SVMs) is proposed for the
classification of TechDemoSat-1 delay-Doppler maps (DDMs), specifically, for separating …

Developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms

J Bu, K Yu, Y Zhu, N Qian, J Chang - Remote Sensing, 2020 - mdpi.com
This paper focuses on sea surface wind speed estimation based on cyclone global
navigation satellite system reflectometry (GNSS-R) data. In order to extract useful …

Flash flood detection from CYGNSS data using the RUSBoost algorithm

P Ghasemigoudarzi, W Huang, O De Silva, Q Yan… - IEEE …, 2020 - ieeexplore.ieee.org
Flash floods can cause massive damages because of their rapid evolution. To reduce or
prevent harm caused by a flash flood, it is vital to have information about its formation and …

Tsunami detection and parameter estimation from GNSS-R delay-Doppler map

Q Yan, W Huang - IEEE Journal of Selected Topics in Applied …, 2016 - ieeexplore.ieee.org
In this paper, a scheme is developed to detect tsunamis and estimate tsunami parameters
from Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler maps …

Quantification of the relationship between sea surface roughness and the size of the glistening zone for GNSS-R

Q Yan, W Huang, G Foti - IEEE geoscience and remote sensing …, 2017 - ieeexplore.ieee.org
A formulation of the relationship between sea-surface roughness and extension of the
glistening zone (GZ) of a Global Navigation Satellite System Reflectometry (GNSS-R) …