GNSS Geodesy in Geophysics, Natural Hazards, Climate, and the Environment

Bock, Yehuda; Wdowinski, S.

doi:10.1002/9781119458449.ch28

Cited by 6 publications

(3 citation statements)

References 513 publications

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“…In emerging industries, such as intelligent driving and unmanned aircraft systems, PPP-RTK can contribute to one essential part of the integrated system [125]. Concerning the scientific fields, the precise position provided by PPP-RTK can be used for geodesy and geodynamics analysis, such as the seismic deformation [126], the earth plate movement [127], and the sea-level changes [128].…”

Section: Position-based Applicationsmentioning

confidence: 99%

Recent advances and perspectives in GNSS PPP-RTK

Hou¹,

Zha²,

Li³

et al. 2023

Meas. Sci. Technol.

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PPP-RTK, otherwise known as integer ambiguity resolution-enabled precise pointing positioning, has attracted much attention in recent years and has become state-of-the-art in the global navigation satellite system (GNSS) high-precision positioning community. This work reviews several PPP-RTK methods, outlines a set of PPP-RTK applications, and presents possible future developments. According to the parameterization considered, we clarify the PPP-RTK models into a distinct-clock category and two common-clock categories (common-clock-1 and common-clock-2), in which several ionosphere-free PPP-RTK models can be cast. Compared with the ionosphere-free PPP-RTK model, we emphasize the advantages of the undifferenced and uncombined (UDUC) formulation and recommend the common-clock-1 UDUC PPP-RTK model since it is optimal, flexible, and widely applicable. Based on what kinds of parameters can be estimated by PPP-RTK models, we outline the PPP-RTK applications in several aspects, including position-based applications, time transfer, atmospheric retrieval, and GNSS bias estimation. Despite the huge advances in GNSS PPP-RTK, future research should improve PPP-RTK performances in harsh environments and apply PPP-RTK to mass markets.

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Section: Position-based Applicationsmentioning

confidence: 99%

Recent advances and perspectives in GNSS PPP-RTK

Hou¹,

Zha²,

Li³

et al. 2023

Meas. Sci. Technol.

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“…Over the last decades, Global Navigation Satellite System (GNSS) technology has made impressive progress [1], resulting in a large number of scientific and industrial applications in various areas. Originally developed for positioning and navigation applications, GNSS are nowadays extensively used in a variety of research fields, especially in geosciences [2]. Although the measurement principle of GNSS is rather simple, a number of influences affecting the travel time of the signals have to be considered.…”

Section: Introductionmentioning

confidence: 99%

Mpg-Net: A Low-Cost, Multi-Purpose Gnss Co-Location Station Network for Environmental Monitoring

Aichinger-Rosenberger¹,

Wolf²,

Senn³

et al. 2023

Preprint

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“…The rise of high precision, satellite-based geodetic measurements over the last three decades has allowed us to better understand the Earth system in a variety of ways (Burgmann & Thatcher, 2013;Bock & Melgar, 2016;Biggs & Wright, 2020). Using both Global Navigation Satellite System (GNSS) and Synthetic Aperture Radar (SAR) observations of the surface, we can quantify hydrologic loading processes in the hydrosphere and cryosphere (e.g., Argus et al 2005;Chaussard et al 2014;Neely et al 2021;Bock & Wdowinski, 2021), magmatic processes at active volcanic centers (e.g., Berardino et al 2002;Poland et al 2006), landslide processes (e.g., Hilley et al 2004;Tong & Schmidt, 2016;Handwerger et al 2019;Bekaert et al 2020;Hu et al, 2020), and earthquake cycle processes (e.g., Bürgmann et al 2000;Wei et al 2011;Weiss et al 2020;Xu et al 2021) with continually improving temporal and spatial resolution. For SAR methods in particular, the ongoing European Space Agency Copernicus Sentinel-1 mission provides open-access data with excellent coverage around the globe at increased temporal resolution compared to previous missions.…”

Section: Introductionmentioning

confidence: 99%

GNSS-corrected InSAR displacement time-series spanning the 2019 Ridgecrest, CA earthquakes

Guns

Bock

et al. 2022

Geophysical Journal International

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Summary InSAR displacement time series are emerging as a valuable product to study a number of earth processes. One challenge to current time series processing methods, however, is that when large earthquakes occur, they can leave sharp coseismic steps in the time series. These discontinuities can cause current atmospheric correction and noise smoothing algorithms to break down, as these algorithms commonly assume that deformation is steady through time. Here, we aim to remedy this by exploring two methods for correcting earthquake offsets in InSAR time series: a Simple Difference Offset Estimate (SDOE) process and a Multiparameter Offset Estimate (MPOE) parametric time series inversion technique. We apply these methods to a two-year time series of Sentinel-1 interferograms spanning the 2019 Ridgecrest, CA earthquake sequence. Descending track results indicate that the SDOE method precisely corrects for only 20 per cent of the coseismic offsets at 62 study locations included in our scene and only partially corrects or sometimes overcorrects for the rest of our study sites. On the other hand, the MPOE estimate method successfully corrects the coseismic offset for the majority of sites in our analysis. This MPOE method allows us to produce InSAR time series and data-derived estimates of deformation during each phase of the earthquake cycle. In order to better isolate and estimate the signal of postseismic lithospheric deformation in the InSAR time series, we apply a GNSS-based correction to our interferograms. This correction ties the interferograms to median-filtered weekly GNSS displacements and removes additional atmospheric artifacts. We present InSAR-based estimates of postseismic deformation for the area around the Ridgecrest rupture, as well as a two-year coseismic-corrected, GNSS-corrected InSAR time series dataset. This GNSS-corrected InSAR time series will enable future modeling of postseismic processes such as afterslip in the near field of the rupture, poroelastic deformation at intermediate distances, and viscoelastic deformation at longer time scales in the far field.

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GNSS Geodesy in Geophysics, Natural Hazards, Climate, and the Environment

Cited by 6 publications

References 513 publications

Recent advances and perspectives in GNSS PPP-RTK

Recent advances and perspectives in GNSS PPP-RTK

Mpg-Net: A Low-Cost, Multi-Purpose Gnss Co-Location Station Network for Environmental Monitoring

GNSS-corrected InSAR displacement time-series spanning the 2019 Ridgecrest, CA earthquakes

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