Uncertainty Assessment of Bathymetric Data Collected Through Unmanned Autonomous Platforms
Article Sidebar
Main Article Content
Abstract
Hydrography consists in a science related to physical geography, which studies all types and variations of aquatic bodies. For a coherent submerged bottom description, manned vessels equipped with sounding systems are commonly used to carry out a hydrographic survey. However, the difficulty of access to remote areas or even guarantees the fact that location poses a risk to crew members made the use of unmanned autonomous vehicles become increasingly common. At this juncture, it is known that hydrographic surveys conducted by these platforms, as well as any other type of survey, contain uncertainties that directly affects bathymetric data. Thus, this article aims to present a methodology for the theoretical assessment of Total Propagated Uncertainty (TPU) in ASV (Autonomous Surface Vessel), as well as to compare the results with sample uncertainty acquired in a bathymetric survey, at Jansen's Lagoon in São Luís-MA, to finally carry out the uncertainty model validation. The results showed that the theoretical uncertainty model is coherent with the sample uncertainties obtained.
Downloads
Metrics
Article Details
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (see "The Effect of Open Access").
