Results 81 to 90 of about 723 (178)

Optimization of Random Surface Scattering Models for RR Polarization in SoOp-R/GNSS-R Applications

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Polarization in global navigation satellite system-reflectometry (GNSS-R) or signal of opportunity-reflectometry (SoOP-R) is commonly used for retrieving geophysical parameters.
Xuerui Wu, Lixiong Chen, Jiancheng Shi
doaj   +1 more source

Enhancing Soil Moisture Active–Passive Estimates with Soil Moisture Active–Passive Reflectometer Data Using Graph Signal Processing

Remote Sensing
The Soil Moisture Active–Passive (SMAP) mission has greatly contributed to the use of remote sensing technologies for monitoring the Earth’s land surface and estimating geophysical parameters that influence the climate system.
Johanna Garcia-Cardona, Nereida Rodriguez-Alvarez, Joan Francesc Munoz-Martin, Xavier Bosch-Lluis, Kamal Oudrhiri   +4 more
doaj   +1 more source

Ocean-Surface Wave Measurements Using Scintillation Theories on Seaborne Software-Defined GPS and SBAS Reflectometry Observations. [PDF]

Sensors (Basel), 2023
Tsai LC, Chien H, Su SY, Liu CH, Schuh H, Alizadeh MM, Wickert J.   +6 more
europepmc   +1 more source

Derivation of the Cramér-Rao Bound in the GNSS-Reflectometry Context for Static, Ground-Based Receivers in Scenarios with Coherent Reflection. [PDF]

Sensors (Basel), 2016
Ribot MA, Botteron C, Farine PA.
europepmc   +1 more source

The first polarimetric GNSS-Reflectometer instrument in space improves the SMAP mission's sensitivity over densely vegetated areas. [PDF]

Sci Rep, 2023
Rodriguez-Alvarez N, Munoz-Martin JF, Bosch-Lluis X, Oudrhiri K, Entekhabi D, Colliander A.   +5 more
europepmc   +1 more source

An Instrument Error Correlation Model for Global Navigation Satellite System Reflectometry

Remote Sensing
All sensing systems have some inherent error. Often, these errors are systematic, and observations taken within a similar region of space and time can have correlated error structure.
C. E. Powell, Christopher S. Ruf, Darren S. McKague, Tianlin Wang, Anthony Russel   +4 more
doaj   +1 more source

Multilayer Model in Soil Moisture Content Retrieval Using GNSS Interferometric Reflectometry. [PDF]

Sensors (Basel), 2023
Li J, Hong X, Wang F, Yang L, Yang D.
europepmc   +1 more source

Quasi zenith satellite system-reflectometry for sea-level measurement and implication of machine learning methodology. [PDF]

Sci Rep, 2022
Ansari K, Seok HW, Jamjareegulgarn P.
europepmc   +1 more source

Research on Soil Moisture Estimation of Multiple-Track-GNSS Dual-Frequency Combination Observations Considering the Detection and Correction of Phase Outliers. [PDF]

Sensors (Basel), 2023
Zhang X, Ren C, Liang Y, Liang J, Yin A, Wei Z.   +5 more
europepmc   +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