Hybrid Survey Networks: Combining Real-Time and Static GNSS Observations for Optimizing Height Modernization

Weaver, Brian; Gillins, Daniel T.; Dennis, Michael

doi:10.1061/(ASCE)SU.1943-5428.0000244

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Hybrid Survey Networks: Combining Real-Time and Static GNSS Observations for Optimizing Height Modernization

2018
By Weaver, Brian ; Gillins, Daniel T. ; Dennis, Michael
Source: Journal of Surveying Engineering, 144(1)

[PDF-1.10 MB]

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Journal Title:

Journal of Surveying Engineering
Personal Author:

Weaver, Brian ; Gillins, Daniel T. ; Dennis, Michael

Weaver, Brian ; Gillins, Daniel T. ; Dennis, Michael Less -
NOAA Program & Office:

NOS (National Ocean Service) ; NGS (Office of National Geodetic Survey) ; OAR (Oceanic and Atmospheric Research) ; CIMRS (Cooperative Institute for Marine Resources Studies)

NOS (National Ocean Service) ; NGS (Office of National Geodetic Survey) ; OAR (Oceanic and Atmospheric Research) ; CIMRS (Cooperative Institute for Marine Resources Studies) Less -
Description:

To derive ellipsoid heights on passive marks with centimeter-level accuracy, many current specifications require the collection and adjustment of long-duration, static, postprocessed global navigation satellite system (GNSS) sessions. To increase efficiency, a campaign-style survey procedure that includes real-time kinematic (RTK) vectors from a real-time GNSS network was evaluated. Thirty different hybrid networks involving three to nine network RTK (NRTK) vectors per mark and some static GNSS vectors were developed from surveys completed in Oregon and South Carolina. The variance-covariance matrices of the static and kinematic vectors were scaled by variance-component estimation procedures to produce realistic error estimates for stochastic modeling. After least-squares adjustment and formal random-error propagation of the networks, the resulting ellipsoid heights on the passive marks had network accuracies ranging from 0.6 to 3.6 cm (95% confidence). These network accuracies reduced to < 2 cm when using six or more NRTK observations per mark. Further, the use of NRTK vectors obtained from observables of both the U.S. global positioning system (GPS) and Russia’s GNSS (GLONASS) were, on average, 19.2% more accurate vertically than vectors obtained solely from GPS observables.
Keywords:

[+]

Global Positioning System
Source:

Journal of Surveying Engineering, 144(1)
DOI:

https://doi.org/10.1061/(ASCE)SU.1943-5428.0000244
ISSN:

0733-9453;1943-5428;
Publisher:

American Society of Civil Engineers (ASCE)
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320091
Rights Information:

Accepted Manuscript
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:d555052ccecaec86183a41f66ad017f3059692d19872a20caa35c7d0924b7d22
Download URL:

https://repository.library.noaa.gov/view/noaa/51699/noaa_51699_DS1.pdf
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Hybrid Survey Networks: Combining Real-Time and Static GNSS Observations for Optimizing Height Modernization

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