Results 261 to 270 of about 15,182,981 (294)

Theoretical study on GNSS-R vegetation biomass

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
GNSS-R(Global Navigation Satellite System-Reflectometry) remote sensing has been attracted much more attention during the past decade. As for land scenario, soil moisture and vegetation properties are the research priorities. This paper focuses on the initial study of GNSSR vegetation biomass using the already developed microwave scattering model Bi ...
Xuerui Wu, Ying Li, Jin Xu
openaire   +1 more source

Preliminary error budget of a GNSS-R spaceborne mission

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Peer ...
Camps Carmona, Adriano José, Hyuk, Park, Valencia Domènech, Enric, Rius, Antonio   +3 more
openaire   +2 more sources

Analysis of GNSS-R Coverage by a Regional Aircraft Fleet

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Airborne GNSS-R instrument systems are typically only utilized for a limited number of aircraft flights to perform experiments, to test new instruments, and to collect data over specific targets (e.g. hurricanes). A new system is currently under development entailing the permanent installation of GNSS-R instruments on a commercial fleet of Air New ...
Ryan Linnabary, Andrew O'Brien 0001, Chris Ruf, Stephen B. Musko, Delwyn Moller   +4 more
openaire   +2 more sources

Considerations on Gnss-R Carrier Phase Altimetry

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The European Space Agency has recently studied, assessed or approved GNSS Reflectometry mission concepts based partly or fully on carrier phase observables for altimetry applications. Examples of these are, respectively, the GEROS-ISS experiment on board the International Space Station, the G- TERN Earth Explorer proposal or the PRETTY cubesat mission,
openaire   +2 more sources

Cryospheric Sensing Using GNSS-R

2013
Snow and ice on the land are important components of climate systems and a critical storage component in the hydrologic cycle as well. However, in situ observations of snow distribution are sparse, and remotely sensed products are imprecise and only available at a coarse spatial scale.
Shuanggen Jin, Estel Cardellach, Feiqin Xie   +2 more
openaire   +1 more source

A GNSS-R Geophysical Model Function

2020
A machine learning technique is implemented for retrieving space-borne Global Navigation Satellite System Reflectometry (GNSS-R) wind speed. Conventional approaches commonly fit a function in a predefined form to matchup data in a least-squares (LS) sense, mapping GNSS-R observations to wind speed. In this study, a feedforward neural network is trained
Asgarimehr, Milad (Dr.-Ing.), Zhelavskaya, Irina (Dr.), Foti, Giuseppe, Reich, Sebastian (Prof.), Wickert, Jens (Prof. Dr.)   +4 more
openaire   +1 more source

Detection Probability of Polarimetric GNSS-R Signals

IEEE Geoscience and Remote Sensing Letters, 2023
Joan Francesc Muñoz-Martín, Nereida Rodriguez-Alvarez, Xavier Bosch-Lluis, Kamal Oudrhiri   +3 more
openaire   +2 more sources

A Review on Multi-GNSS for Earth Observation and Emerging Applications

Remote Sensing, 2022
Shuanggen Jin, Gino Dardanelli, Qisheng Wang   +2 more
exaly  

GNSS Reflectometry Global Ocean Wind Speed Using Deep Learning: Development and Assessment of CyGNSSnet

Remote Sensing of Environment, 2022
Milad Asgarimehr, Tobias Weigel, Christopher S. Ruf   +2 more
exaly  

Monitoring the Dynamic Response of a Pedestrian Bridge by Using Low-Cost GNSS Receivers

Engineering Structures, 2023
Panos Psimoulis
exaly