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Measuring uncertainty in multibeam bathymetry data: An analysis of spatial randomness

conference contribution
posted on 2023-05-24, 12:41 authored by Huang, Z, Siwabessy, JW, Vanessa LucieerVanessa Lucieer
In the past two decades, multibeam sonar systems have become the preferred seabed mapping tool. Many users have assumed that multibeam bathymetry data are highly accurate in spatial position. In reality, both vertical and horizontal uncertainties exist in every data point. These uncertainties are often represented as one single measure of Total Propagated Uncertainty (TPU). TPU is important to understand because it affects the quality of products generated from multibeam bathymetry data. To account for the magnitude and spatial distribution of this influence, an objective uncertainty analysis is required. Randomisation is the key process in such an uncertainty analysis. This study compared two randomisation methods, restricted spatial randomness (RSR) and complete spatial randomness (CSR), in an uncertainty analysis of a slope gradient dataset derived from multibeam bathymetry data. CSR regards data error in every grid cell as independent and assumes that the data error varies within a known statistical distribution without any neighbourhood effect. RSR assumes spatial structure and thus spatial auto-correlation in the data.

History

Publication title

GeoHab (Maine Geological and Biological Habitat Mapping)

Editors

Daniel Ierodiaconou and Scott Nichol

Pagination

43

Department/School

Institute for Marine and Antarctic Studies

Publisher

Deakin University

Place of publication

Australia

Event title

Geohab 2014

Event Venue

Lorne, Australia

Date of Event (Start Date)

2014-05-05

Date of Event (End Date)

2014-05-09

Repository Status

  • Restricted

Socio-economic Objectives

Assessment and management of terrestrial ecosystems

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    University Of Tasmania

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