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GARPOS v0.1.0: Analysis tool for GNSS-Acoustic seafloor positioning

Name: GARPOS v0.1.0: Analysis tool for GNSS-Acoustic seafloor positioning
Keywords: GNSS-A, underwater positioning, seafloor geodesy, seafloor positioning

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Aug 2020 English Publisher:Zenodo

Authors: Shun-ichi Watanabe; Tadashi Ishikawa; Yuto Nakamura; Yusuke Yokota;

doi: 10.5281/zenodo.3992688 , 10.5281/zenodo.3992687 , 10.5281/zenodo.4522027 , 10.5281/zenodo.12620693 , 10.5281/zenodo.6414642

GARPOS v0.1.0: Analysis tool for GNSS-Acoustic seafloor positioning

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Abstract

{"references": ["Watanabe, S., Ishikawa, T., Yokota, Y., & Nakamura, Y. (2020). GARPOS: analysis software for the GNSS-A seafloor positioning with simultaneous estimation of sound speed structure, Front. Earth Sci. (https://doi.org/10.3389/feart.2020.597532)."]}

"GARPOS" (GNSS-Acoustic Ranging combined POsitioning Solver) is an analysis tool for GNSS-Acoustic seafloor positioning. Please see README file or visit GitHub page for more information.

Related Organizations

Japan Coast Guard
Japan
University of Tokyo
Japan
Wenzhou Institute of Industrial Science
China (People's Republic of)
Japan Coast Guard Academy
Japan

Keywords

GNSS-A, underwater positioning, seafloor geodesy, seafloor positioning

4 Research products, page 1 of 1

GNSS-Acoustic Observations of Seafloor Crustal Deformation Using a Wave Glider
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A Multi-Observation Least-Squares Inversion for GNSS-Acoustic Seafloor Positioning
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Improving GNSS-acoustic positioning by optimizing the ship’s track lines and observation combinations
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GARPOS-MCMC: MCMC-based analysis tool for GNSS-Acoustic seafloor positioning
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	10
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%