Improving GNSS-R sea level determination through inverse modeling of SNR data

Sea level measurements from inverse modelling of GNSS SNR data - initial results

Sea state monitoring using coastal GNSS - R

We report on a coastal experiment to study GPS L1 reflections. The campaign was carried out at the Barcelona Port breaker and dedicated to the development of sea-state retrieval algorithms. An experimental system built for this purpose collected and processed GPS data to automatically generate a times series of the interferometric complex field (ICF). The ICF was analyzed off line and compared ...

Inverse modeling of HEM data using a new inversion algorithm

Helicopter-borne frequency-domain electromagnetic (HEM) surveys are used extensively for mineral and groundwater exploration and a number of environmental investigations. To have a meaningful interpretation of the measured multi- frequency HEM data, in addition to the resistivity maps which are provided in each frequency or for some particular depth levels, it is a necessity ...

A Semi-Empirical SNR Model for Soil Moisture Retrieval Using GNSS SNR Data

The Global Navigation Satellite System-Interferometry and Reflectometry (GNSS-IR) technique on soil moisture remote sensing was studied. A semi-empirical Signal-to-Noise Ratio (SNR) model was proposed as a curve-fitting model for SNR data routinely collected by a GNSS receiver. This model aims at reconstructing the direct and reflected signal from SNR data and at the same time extracting freque...

Improving Sea Level Reconstructions Using Non-Sea Level Measurements

This Article is brought to you for free and open access by the Center for Coastal Physical Oceanography at ODU Digital Commons. It has been accepted for inclusion in CCPO Publications by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. Repository Citation Hamlington, B. D.; Leben, R. R.; and Kim, K.-Y., "Improving Sea Level Reconst...