Advanced search
Publication Cover
Marine Geodesy Volume 43, 2020 - Issue 4
Submit an article Journal homepage
223
Views
5
CrossRef citations to date
0
Altmetric
Articles

A Design for a Trusted Community Bathymetry System

Brian R. CalderCenter for Coastal and Ocean Mapping & NOAA-UNH Joint Hydrographic Center, University of New Hampshire, Durham, New Hampshire, USA; Correspondence[email protected]
View further author information
,
Semme J. DijkstraCenter for Coastal and Ocean Mapping & NOAA-UNH Joint Hydrographic Center, University of New Hampshire, Durham, New Hampshire, USA; View further author information
,
Shannon HoyCenter for Coastal and Ocean Mapping & NOAA-UNH Joint Hydrographic Center, University of New Hampshire, Durham, New Hampshire, USA; View further author information
,
Kenneth HimschootSeaID Ltd, Buxton, Derbyshire, United KingdomView further author information
&
Andrew SchofieldSeaID Ltd, Buxton, Derbyshire, United KingdomView further author information
Pages 327-358 | Received 25 Jun 2019, Accepted 15 Jan 2020, Published online: 25 Feb 2020

Citations (5)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Paul Elmore, Brian Calder, Fred Petry, Giuseppe Masetti & Ron Yager. (2023) Aggregation Methods Using Bathymetry Sources of Differing Subjective Reliabilities for Navigation Mapping. Marine Geodesy 46:2, pages 99-128.
Read now
Casey O’Heran & Brian Calder. (2021) Horizontal Calibration of Vessels with UASs. Marine Geodesy 44:2, pages 91-107.
Read now

Articles from other publishers (3)

Brian Calder. (2023) Design of a Wireless, Inexpensive Ocean of Things System for Volunteer Bathymetry. IEEE Internet of Things Journal 10:11, pages 9534-9543.
Crossref
Dejun Wang, Yanxia Wang, Shan Liang & Chengyang Ye. (2022) A N-order Interpolated Variance Estimator Algorithm for Fusion of Inland Waterway Crowd-sourced Bathymetry Data. A N-order Interpolated Variance Estimator Algorithm for Fusion of Inland Waterway Crowd-sourced Bathymetry Data.
Martin Jakobsson & Larry A. Mayer. (2022) Polar Region Bathymetry: Critical Knowledge for the Prediction of Global Sea Level Rise. Frontiers in Marine Science 8.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.