Ocean remote sensing techniques and applications: A review (part i)

M Amani, A Moghimi, SM Mirmazloumi, B Ranjgar… - Water, 2022 - mdpi.com
Oceans cover over 70% of the Earth's surface and provide numerous services to humans
and the environment. Therefore, it is crucial to monitor these valuable assets using …

Satellite remote sensing of surface winds, waves, and currents: where are we now?

D Hauser, S Abdalla, F Ardhuin, JR Bidlot… - Surveys in …, 2023 - Springer
This review paper reports on the state-of-the-art concerning observations of surface winds,
waves, and currents from space and their use for scientific research and subsequent …

First spaceborne phase altimetry over sea ice using TechDemoSat‐1 GNSS‐R signals

W Li, E Cardellach, F Fabra, A Rius… - Geophysical …, 2017 - Wiley Online Library
A track of sea ice reflected Global Navigation Satellite System (GNSS) signal collected by
the TechDemoSat‐1 mission is processed to perform phase altimetry over sea ice. High …

An introduction to the HydroGNSS GNSS reflectometry remote sensing mission

MJ Unwin, N Pierdicca, E Cardellach… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
HydroGNSS (Hydrology using Global Navigation Satellite System reflections) has been
selected as the second European Space Agency (ESA) Scout earth observation mission to …

First precise spaceborne sea surface altimetry with GNSS reflected signals

E Cardellach, W Li, A Rius, M Semmling… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
The precision of sea surface altimetry using bistatically reflected signals of the Global
Navigation Satellite System (GNSS) is typically one to two orders of magnitude worse than …

Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network

X Li, D Yang, J Yang, G Zheng, G Han, Y Nan… - Remote Sensing of …, 2021 - Elsevier
This paper demonstrates the capability and performance of sea surface wind speed retrieval
in coastal regions (within 200 km away from the coastline) using spaceborne Global …

Exploration of multi-mission spaceborne GNSS-R raw IF data sets: Processing, data products and potential applications

W Li, E Cardellach, S Ribó, S Oliveras, A Rius - Remote Sensing, 2022 - mdpi.com
Earth reflected Global Navigation Satellite System (GNSS) signals can be received by
dedicated orbital receivers for remote sensing and Earth observation (EO) purposes …

Evaluations of machine learning-based CYGNSS soil moisture estimates against SMAP observations

V Senyurek, F Lei, D Boyd, AC Gurbuz, M Kurum… - Remote Sensing, 2020 - mdpi.com
This paper presents a machine learning (ML) framework to derive a quasi-global soil
moisture (SM) product by direct use of the Cyclone Global Navigation Satellite System …

An Arctic sea ice multi-step classification based on GNSS-R data from the TDS-1 mission

N Rodriguez-Alvarez, B Holt, S Jaruwatanadilok… - Remote Sensing of …, 2019 - Elsevier
This study examines the potential of using bistatic radar reflections from the Global
Navigation Satellite System (GNSS) to classify sea ice types in the Arctic Ocean during the …

Revisiting the GNSS-R waveform statistics and its impact on altimetric retrievals

W Li, A Rius, F Fabra, E Cardellach… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
This paper analyzes the ocean altimetry precision of global navigation satellite systems'
reflectometry (GNSS-R) by characterizing the noise statistics of the measured waveform. For …