Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-23T08:05:30.865Z Has data issue: false hasContentIssue false
  • English
  • Français

Kinematic Post-processing of Ship Navigation Data Using Precise Point Positioning

Published online by Cambridge University Press:  06 November 2018

John B. DeSanto Open the ORCID record for John B. DeSanto [Opens in a new window] ,
C. David Chadwell  and
David T. Sandwell
John B. DeSanto*
Affiliation:
(University of California San Diego Scripps Institution of Oceanography)
C. David Chadwell
Affiliation:
(University of California San Diego Scripps Institution of Oceanography)
David T. Sandwell
Affiliation:
(University of California San Diego Scripps Institution of Oceanography)
*
(E-mail: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Seafloor geodetic studies such as Global Positioning System (GPS)-Acoustic experiments often require the measurement platform on the sea surface to be positioned accurately to within a few centimetres. In this paper, we test the utility of Precise Point Positioning (PPP) for this application with two experiments. The first fixed platform experiment is a comparison between three independent processing software packages: Positioning and Navigation Data Analyst (PANDA), Global Navigation Satellite System-Inferred Positioning System and Orbit Analysis Simulation Software (GIPSY-OASIS), and the Canadian Spatial Reference System (CSRS)) and a more accurate solution based on conventional differential processing of a remote GPS station in the Aleutian Islands. The second moving platform experiment is a comparison among the three PPP software packages using 40 hours of ship navigation data collected during the Roger Revelle RR1605 cruise 170 nautical miles southwest of Palau in May 2016. We found the PPP solutions were repeatable to 5·49 cm in the horizontal components and 12·4 cm in the vertical component. This demonstrates not only that PPP is a useful tool for positioning marine platforms in remote locations, but also that modern ship navigation instruments such as the Kongsberg Seapath 330 + are suitable for seafloor geodetic application.

Keywords

GPSPrecise Point PositioningSeafloor geodesy
Type
Research Article
Information
The Journal of Navigation , Volume 72 , Issue 3 , May 2019 , pp. 795 - 804
Copyright
Copyright © The Royal Institute of Navigation 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Asada, A. and Yabuki, T. (2001). Centimeter-level positioning on the seafloor. Proceedings of the Japan Academy, Series B, 77, 7–12.Google Scholar
Bertiger, W., Desai, S.D., Haines, B., Harvey, N., Moore, A.W., Owen, S. and Weiss, J.P. (2010). Single receiver phase ambiguity resolution with GPS data, Journal of Geodesy, 84, 327–337.Google Scholar
Bürgmann, R. and Chadwell, D. (2014). Seafloor geodesy. Annual Review of Earth and Planetary Sciences, 42 (1), 509–534, doi:10.1146/annurev-earth-060313-054953.Google Scholar
Chadwell, C. D. and Bock, Y. (2001). Direct estimation of absolute precipitable water in oceanic regions by GPS tracking of a coastal buoy. Geophysical Research Letters, 28, 3701–3704. doi:10.1029/2001GL013280Google Scholar
CSRS. (2016). Canadian Spatial Reference System (CSRS) Precise Point Positioning (PPP) tool. https://webapp.geod.nrcan.gc.ca/geod/tools-outils/ppp.php?locale=enGoogle Scholar
DeSanto, J.B., Sandwell, D.T. and Chadwell, C.D. (2016), Seafloor geodesy from repeated sidescan sonar surveys. Journal of Geophysical Research: Solid Earth, 121, 4800–4813, doi:10.1002/2016JB013025.Google Scholar
Foster, J., Li, N. and Cheung, K.F. (2014). Sea State Determination from Ship-Based Geodetic GPS. Journal of Atmospheric and Oceanic Technology, 31, 2556–2564, https://doi.org/10.1175/JTECH-D-13-00211.1Google Scholar
Fujita, M., Ishikawa, T., Mochizuki, M., Sato, M., Toyama, S., Katayama, M., Matsumoto, Y., Yabuki, T., Asada, A. and Colombo, O.L (2006). GPS/Acoustic seafloor geodetic observation: Method of data analysis and its application. Earth Planets Space, 58, 265–275.Google Scholar
Fujiwara, T., Tamaki, K., Fujimoto, H., Ishii, T., Seama, N., Toh, H., Koizumi, K., Igarashi, C., Segawa, J., Kobayashi, K., Kido, M., Seno, T. and Kinoshita, H. (1995), Morphological studieas of the Ayu Trough, Philippine Sea – Caroline Plate Boundary. Geophysical Research Letters, 22, 109–112. doi:10.1029/94GL02719.Google Scholar
Gagnon, K., Chadwell, C.D. and Norabuena, E. (2005), Measuring the onset of locking in the peru-Chile trench with GPS and acoustic measurements. Nature, 434(7030), 205–208.Google Scholar
Geng, J., Bock, Y., Melgar, D., Crowell, B.W. and Haase, J.S. (2013). A new seismogeodetic approach applied to GPS and accelerometer observations of the 2012 Brawley seismic swarm: Implications for earthquake early warning. Geochemistry, Geophysics, Geosystems, 14, doi:10.1002/ggge.20144.Google Scholar
Hong, J.K. and Lee, S.M. (2002). Reflection Seismology in the Southern Ayu Trough, a Slow-spreading Divergent Boundary. Ocean and Polar Research, 24, 189–196. doi:10.4217/OPR.2002.24.3.189.Google Scholar
Kealy, J., Foster, J. and Businger, S. (2012). GPS meteorology: An investigation of ocean-based precipitable water estimates. Journal of Geophysical Research: Atmospheres, 117, D17303, doi:10.1029/2011JD017422.Google Scholar
Rocken, C., Johnson, J., Van Hove, T. and Iwabuchi, T. (2005). Atmospheric water vapor and geoid measurements in the open ocean with GPS. Geophysical Research Letters, 32, L12813, doi:10.1029/2005GL022573.Google Scholar
Shi, C., Zhao, Q., Geng, J., Lou, Y., Ge, M. and Liu, J. (2008). Recent development of PANDA software in GNSS data processing. Proceedings of SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72851S (29 December 2008); doi:10.1117/12.816261; http://dx.doi.org/10.1117/12.816261Google Scholar
Smith, W. H. F., and Sandwell, D. T. (1997). Global seafloor topography from satellite altimetry and ship depth soundings. Science, v. 277, 1957–1962.Google Scholar
Spiess, F.N., Chadwell, C.D., Hildebrand, J.A., Young, L.E., Purcell, J.G.H. and Dragert, H. (1998). Precise GPS/Acoustic positioning of seafloor reference points for tectonic studies. Physics of the Earth and Planetary Interiors, 108, 101–112.Google Scholar
Tadokoro, K., Ikuta, R., Watanabe, T., Ando, M., Okuda, T., Nagai, S., Yasuda, K. and Sakata, T. (2012). Interseismic seafloor crustal deformation immediately above the source region of anticipated megathrust earthquake along the Nankai Trough, Japan. Geophysical Research Letters, 39, L10306, doi:10.1029/2012GL051696.Google Scholar
Watanabe, S., Bock, Y., Chadwell, C., Fang, P. and Geng, J. (2017). Long-term stability of the kinematic Precise Point Positioning for the sea surface observation unit compared with the baseline analysis. Report of Hydrographic and Oceanographic Researches, 54, 38–73.Google Scholar
Yasuda, K., Tadokoro, K., Taniguchi, S., Kimura, H. and Matsuhiro, K. (2017). Interplate locking condition derived from seafloor geodetic observation in the shallowest subduction segment at the Central Nankai Trough, Japan. Geophysical Research Letters, 44, 3572–3579, doi:10.1002/2017GL072918.Google Scholar
Yokota, Y., Ishikawa, T., Sato, M., Watanabe, S., Saito, H., Ujihara, N., Matsumoto, Y., Toyama, S., Fujita, M., Yabuki, T., Mochizuki, M. and Asada, A. (2015) Heterogeneous interplate coupling along the Nankai Trough, Japan, detected by GPS-acoustic seafloor geodetic observation. Progress in Earth and Planetary Science, 2, 10. https://doi.org/10.1186/s40645-015-0040-yGoogle Scholar
Yokota, Y., Ishikawa, T., Watanabe, S., Tashiro, T. and Asada, A. (2016). Sea?oor geodetic constraints on interplate coupling of the Nankai Trough megathrust zone. Nature. 534, 374–377, doi:10.1038/nature17632Google Scholar
Zumberge, J.F., Heflin, M.B., Jefferson, D.C., Watkins, M.M. and Webb, F.H. (1997). Precise point positioning for the efficient and robust analysis of GPS data from large networks. Journal of Geophysical Research: Solid Earth, 102(B3), 5005–5017, doi:10.1029/96JB03860.Google Scholar