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 …

Latest advances in the global navigation satellite system—reflectometry (GNSS-R) field

N Rodriguez-Alvarez, JF Munoz-Martin, M Morris - Remote Sensing, 2023 - mdpi.com
The global navigation satellite system-reflectometry (GNSS-R) field has experienced an
exponential growth as it is becoming relevant to many applications and has captivated the …

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 …

Sea surface wind speed retrieval from the first Chinese GNSS-R mission: Technique and preliminary results

C Jing, X Niu, C Duan, F Lu, G Di, X Yang - Remote Sensing, 2019 - mdpi.com
Launched on 5 June 2019, the BuFeng-1 A/B twin satellites were part of the first Chinese
global navigation satellite system reflectometry (GNSS-R) satellite mission. In this letter, a …

Estimating tropical cyclone surface winds: Current status, emerging technologies, historical evolution, and a look to the future

JA Knaff, CR Sampson, ME Kucas, CJ Slocum… - … Cyclone Research and …, 2021 - Elsevier
This article provides a review of tropical cyclone (TC) surface wind estimation from an
operational forecasting perspective. First, we provide a summary of operational forecast …

Toward the detection and imaging of ocean microplastics with a spaceborne radar

MC Evans, CS Ruf - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
Ocean microplastic concentrations are known to vary significantly by location, with
especially high levels in the North Atlantic and North Pacific gyres. Most direct …

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 …

[HTML][HTML] In-orbit performance of the constellation of CYGNSS hurricane satellites

C Ruf, S Asharaf, R Balasubramaniam… - Bulletin of the …, 2019 - journals.ametsoc.org
Annane, B., B. McNoldy, S. Leidner, R. Hoffman, R. Atlas, and S. Majumdar, 2018: A study of
the HWRF analysis and forecast impact of realistically simulated CYGNSS observations …

Assessment of CYGNSS wind speed retrieval uncertainty

CS Ruf, S Gleason, DS McKague - IEEE Journal of Selected …, 2018 - ieeexplore.ieee.org
Measurements of near surface wind speed made by the Cyclone Global Navigation Satellite
System (CYGNSS) constellation of GNSS-R satellites are evaluated and their uncertainty is …

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 …