Results 81 to 90 of about 985 (191)

Sahara Subsurface Characterization Using Cygnss Gnss-R Data

, 2021
International audienceThe objective of this study is to analyze the potential of global navigation satellite system reflectometry (GNSS-R) data from the Cyclone Global Navigation Satellite System (CYGNSS) constellation to map the subsurface of a desert ...
Mehrez Zribi, Nazzareno Pierdicca, Nicolas Baghdadi, Pierdicca, Nazzareno, Baghdadi, Nicolas, Zribi, Mehrez, Stilla, Donato, Donato Stilla   +7 more
core   +1 more source

Daily Soil Moisture Retrieval by Fusing CYGNSS and Multi-Source Auxiliary Data Using Machine Learning Methods. [PDF]

Sensors (Basel), 2023
Yang T, Wang J, Sun Z, Li S.
europepmc   +1 more source

Advancing CYGNSS-Derived Ocean Surface Heat Fluxes

Global Navigation Satellite System Reflectometry (GNSS-R) leverages GPS signals scattered from the ocean surface, offering potential utility across all weather conditions.
Derek J. Posselt, Mark A. Bourassa, Shakeel Asharaf, Juan A. Crespo   +3 more
core   +1 more source

Impacts of Spaceborne GNSS-R System Observations on Storm Surge Prediction: A Hurricane Harvey Case Study Using CYGNSS Full DDM Downlinks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This work assesses the impact of the Cyclone Global Navigation Satellite System (CYGNSS) (full delay-Doppler map) informed wind fields on storm surge simulations using the constellation's storm observations.
Younghun Kang, Ethan Kubatko, Mohammad M. Al-Khaldi, Joel T. Johnson, Suranjan Nepal, Aaron Sines   +5 more
doaj   +1 more source

A Merged CYGNSS Soil Moisture Product Using a Minimum Variance Estimator [PDF]

peer reviewedData from the NASA Cyclone Global Navigation Satellite System (CYGNSS) mission have shown promise for the retrieval of soil moisture, and many soil moisture products using CYGNSS data have been developed.
Hayashi, Akiko, Senyurek, Volkan, Shah, Rashmi, Al-Khaldi, Mohammad, Small, Eric E., Johnson, Joel T., Yueh, Simon H., SETTI JUNIOR, Paulo de Tarso, Bai, Dinan, Gurbuz, Ali Cafer, Hodges, Erik, Ouellette, Jeffrey D., Ruf, Christopher S., Chew, Clara, Santi, Emanuele, Pettinato, Simone, Moghaddam, Mahta, TABIBI, Sajad, Lei, Fangni, Xu, Xiaolan, Nabi, M M, Kurum, Mehmet   +21 more
core   +1 more source

An Improved Blackbody Calibration Cadence for CYGNSS

IEEE Transactions on Geoscience and Remote Sensing, 2022
Charles E. Powell, Christopher S. Ruf, Anthony Russel   +2 more
openaire   +1 more source

Determining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation

, 2017
The Cyclone Global Navigation Satellite System (CYGNSS) consists of a constellation of eight microsatellites that provide observations of surface wind speed in all precipitating conditions.
Christopher S. Ruf, Mary Morris
core   +1 more source

Tropical Diurnal Cycle of Ocean Surface Winds From CYGNSS Observations

The diurnal cycle of ocean surface wind reflects the daily response of air–sea thermal and dynamical processes. Using 1‐hr wind speed data from the Cyclone Global Navigation Satellite System (CYGNSS, 2018–2024), this study refines the characterization of
Baojian Liu, Ning Guan
core   +1 more source

An Illustration of FY-3E GNOS-R for Global Soil Moisture Monitoring. [PDF]

Sensors (Basel), 2023
Yang G, Du X, Huang L, Wu X, Sun L, Qi C, Zhang X, Wang J, Song S.   +8 more
europepmc   +1 more source

From theory to hydrological practice: Leveraging CYGNSS data over seven years for advanced soil moisture monitoring

Soil moisture (SM) is a key variable in hydrometeorology and climate systems. With the growing interest in capturing fine-scale SM variability for effective hydroclimate applications, spaceborne L-band bistatic radar systems using Global Navigation ...
Nguyen, Hoang Hai, Wigneron, Jean-Pierre, Kim, Hyunglok, Lei, Fangni, Wagner, Wolfgang, Colliander, Andreas, Crow, Wade, Yueh, Simon, Frappart, Frédéric   +8 more
core   +2 more sources