Assessing the performance of the multi-beam echo-sounder bathymetric uncertainty prediction model

Research output: Contribution to journalArticleScientificpeer-review

7 Downloads (Pure)

Abstract

Realistic predictions of the contribution of the various sources affecting the quality of the bathymetric measurements prior to a survey are of importance to ensure sufficient accuracy of the soundings. To this end, models predicting these contributions have been developed. The objective of the present paper is to assess the performance of the bathymetric uncertainty prediction model for modern Multi-Beam Echo-Sounder (MBES) systems. Two datasets were acquired at water depths of 10m and 30m with three pulse lengths equaling 27 μs, 54 μs, and 134 μs in the Oosterschelde estuary (The Netherlands). The comparison between the bathymetric uncertainties derived from the measurements and those predicted using the current model indicated a relatively good agreement except for the most outer beams. The performance of the uncertainty prediction model improved by accounting for the most recent insights into the contributors to the MBES depth uncertainties, i.e., the Doppler effect, baseline decorrelation (accounting for the pulse shape), and the signal-to-noise ratio.

Original languageEnglish
Article number4671
Number of pages18
JournalApplied Sciences (Switzerland)
Volume10
Issue number13
DOIs
Publication statusPublished - 1 Jul 2020

Keywords

  • Additive noise contribution
  • Baseline decorrelation
  • Doppler effect
  • Measured bathymetric uncertainty
  • Predicted bathymetric uncertainty

Fingerprint Dive into the research topics of 'Assessing the performance of the multi-beam echo-sounder bathymetric uncertainty prediction model'. Together they form a unique fingerprint.

  • Cite this