The GNSS Laboratory Tool Suite (gLAB) updates: SBAS, DGNSS and Global Monitoring System

Segura, Deimos Ibáñez; Rovira‐Garcia, Adrià; Sanz, J.; González-Casado, Guillermo; Jimenez-Banos, D.; Lopez-Echazarreta, C.; Lapin, Ivan

doi:10.1109/navitec.2018.8642707

Cited by 25 publications

(22 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These maps were derived entirely from data obtained by CSA RADARSAT-1, JAXA ALOS, and DLR TerraSAR-X and TanDEM-X (TSX-TDX) satellites, as well as from ESA's C-band SAR data from Copernicus Sentinel-1A and Sentinel-1B. The maps were produced using an integrated set of SAR, speckle-tracking, and interferometric algorithms (Joughin, 2002). The data are provided with a resolution of 200 m, and the error is estimated to be < 10 m a −1 .…”

Section: Satellite-derived Surface Velocity Productsmentioning

confidence: 99%

Surface velocity of the Northeast Greenland Ice Stream (NEGIS): assessment of interior velocities derived from satellite data by GPS

et al. 2020

View full text Add to dashboard Cite

Abstract. The Northeast Greenland Ice Stream (NEGIS) extends around 600 km upstream from the coast to its onset near the ice divide in interior Greenland. Several maps of surface velocity and topography of interior Greenland exist, but their accuracy is not well constrained by in situ observations. Here we present the results from a GPS mapping of surface velocity in an area located approximately 150 km from the ice divide near the East Greenland Ice-core Project (EastGRIP) deep-drilling site. A GPS strain net consisting of 63 poles was established and observed over the years 2015–2019. The strain net covers an area of 35 km by 40 km, including both shear margins. The ice flows with a uniform surface speed of approximately 55 m a−1 within a central flow band with longitudinal and transverse strain rates on the order of 10−4 a−1 and increasing by an order of magnitude in the shear margins. We compare the GPS results to the Arctic Digital Elevation Model and a list of satellite-derived surface velocity products in order to evaluate these products. For each velocity product, we determine the bias in and precision of the velocity compared to the GPS observations, as well as the smoothing of the velocity products needed to obtain optimal precision. The best products have a bias and a precision of ∼0.5 m a−1. We combine the GPS results with satellite-derived products and show that organized patterns in flow and topography emerge in NEGIS when the surface velocity exceeds approximately 55 m a−1 and are related to bedrock topography.

show abstract

Section: Satellite-derived Surface Velocity Productsmentioning

confidence: 99%

Surface velocity of the Northeast Greenland Ice Stream (NEGIS): assessment of interior velocities derived from satellite data by GPS

et al. 2020

View full text Add to dashboard Cite

show abstract

“…2. The geodetic detrending has been performed using the GNSS-Lab Tool (gLAB) (Ibáñez et al 2018). The precise satellite orbits and clocks were obtained from the final products of IGS every 900 s and 30 s, respectively.…”

Section: Data and Experimental Designmentioning

confidence: 99%

Measuring phase scintillation at different frequencies with conventional GNSS receivers operating at 1 Hz

Nguyen

Rovira‐Garcia

Sanz

et al. 2019

J Geod

View full text Add to dashboard Cite

Ionospheric scintillation causes rapid fluctuations of measurements from Global Navigation Satellite Systems (GNSSs), thus threatening space-based communication and geolocation services. The phenomenon is most intense in equatorial regions, around the equinoxes and in maximum solar cycle conditions. Currently, ionospheric scintillation monitoring receivers (ISMRs) measure scintillation with high-pass filter algorithms involving high sampling rates, e.g. 50 Hz, and highly stable clocks, e.g. an ultra-low-noise Oven-Controlled Crystal Oscillator. The present paper evolves phase scintillation indices implemented in conventional geodetic receivers with sampling rates of 1 Hz and rapidly fluctuating clocks. The method is capable to mitigate ISMR artefacts that contaminate the readings of the state-of-the-art phase scintillation index. Our results agree in more than 99.9% within ± 0.05 rad (2 mm) of the ISMRs, with a data set of 8 days which include periods of moderate and strong scintillation. The discrepancies are clearly identified, being associated with data gaps and to cycle-slips in the carrier-phase tracking of ISMR that occur simultaneously with ionospheric scintillation. The technique opens the door to use huge databases available from the International GNSS Service and other centres for scintillation studies. This involves GNSS measurements from hundreds of worldwide-distributed geodetic receivers over more than one Solar Cycle. This overcomes the current limitations of scintillation studies using ISMRs, as only a few tens of ISMRs are available and their data are provided just for short periods of time.

show abstract

“…We used our in-house open-source GNSS laboratory (gLAB) tool suite [27], from the European Space Agency (ESA) and gAGE/UPC, as the engine to evaluate the EGNOS 1046 Maritime Service; in particular, the SBAS maritime template in gLAB [28]. Before the main GNSS data processing, two preliminary computations were needed:…”

Section: Methodsmentioning

confidence: 99%

“…The examined area covered the longitude range from 40 • W to 50 • E and the latitude range from 10 • N to 80 • N, using a resolution of squared pixels of 1 • per 1 • and a sampling rate of 1 s. We used the generic SBAS maritime template in gLAB [28] with minor modifications, such as setting the mask for the satellite elevation to 7 degrees.…”

Section: Area Mapsmentioning

confidence: 99%

EGNOS 1046 Maritime Service Assessment

Segura

Rovira‐Garcia

Alonso

et al. 2020

Sensors

View full text Add to dashboard Cite

The present contribution evaluates how the European Geostationary Navigation Overlay System (EGNOS) meets the International Maritime Organization (IMO) requirements established in its Resolution A.1046 for navigation in harbor entrances, harbor approaches, and coastal waters: 99.8% of signal availability, 99.8% of service availability, 99.97% of service continuity and 10 m of horizontal accuracy. The data campaign comprises two years of data, from 1 May 2016 to 30 April 2018 (i.e., 730 days), involving 108 permanent stations located within 20 km of the coast or in islands across the EGNOS coverage area, EGNOS corrections, and cleansed GPS broadcast navigation data files. We used the GNSS Laboratory Tool Suite (gLAB) to compute the reference coordinates of the stations, the EGNOS solution, as well as the EGNOS service maps. Our results show a signal availability of 99.999%, a horizontal accuracy of 0.91 m at the 95th percentile, and the regions where the IMO requirements on service availability and service continuity are met. In light of the results presented in the paper, the authors suggest the revision of the assumptions made in the EGNOS Maritime Service against those made in EGNOS for civil aviation; in particular, the use of the EGNOS Message Type 10.

show abstract

The GNSS Laboratory Tool Suite (gLAB) updates: SBAS, DGNSS and Global Monitoring System

Cited by 25 publications

References 15 publications

Surface velocity of the Northeast Greenland Ice Stream (NEGIS): assessment of interior velocities derived from satellite data by GPS

Surface velocity of the Northeast Greenland Ice Stream (NEGIS): assessment of interior velocities derived from satellite data by GPS

Measuring phase scintillation at different frequencies with conventional GNSS receivers operating at 1 Hz

EGNOS 1046 Maritime Service Assessment

Contact Info

Product

Resources

About