SUT WA Research Night
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1 SUT WA Research Night An introduction to acoustic seafloor observation and geostatistical data interpolation Elizabeth Mair BSc (GIS) Honours Curtin University
2 Contents Project Introduction Methodology Results Direction and discussion Questions
3 Northern Demersal Scalefish Fishery: Provide a cheap, low risk and long term monitoring tool for the Department of Fisheries, by: Mapping seafloor habitats Mapping water column biomass Determine relative demersal fish biomass Identify possible locations of significant fish biomass outside current areas of commercial effort Acoustic Project
4 Northern Demersal Scalefish Fishery: A single beam echosounder was attached to a fishing vessel to collect data at four frequencies to help map: Bathymetry Seafloor substrate (using backscatter) Water column biomass Acoustic Project
5 Study Area Depth from first trip (April 2012) 1 Week of data collection (locations blurred)
6 Study Area Depth from all trips to date and still collecting 18 months of data collection (locations blurred)
7 The Problem Interpolation of single-beam echo sounder bathymetry towards development of a continuous bathymetry grid for the offshore Kimberley region Bathymetry estimates from SBES (single-beam echo sounder) Interpolation between tracks Compilation of multiple data sources for broad-scale grid
8 Background: Geostatistics Data demands for broad-scale observation and continuous datasets Geostatistics vs other estimators (Nearest neighbour, inverse distance weighting, or triangulated irregular networks) Surface Interpolation Variogram modelling Kriging
9 Methodology SBES Data Exploratory Data Analysis Pre-processing (transform, filter) Interpolation Bathy metry Maps Asess Accuracy Exploratory data analysis Data transformation and filtering Variograms and interpolation Data comparison and compilation Error assessment
10 Percentage (% in 1m bins) Methodology: Pre-Processing Exploratory data analysis, spatial statistics Trend surface fitting Model residuals Statistical modelling and normal distributions Depth (m)
11 Percentage (% in 1m bins) Methodology: Pre-Processing Exploratory data analysis, spatial statistics Trend surface fitting Model residuals Statistical modelling and normal distributions Depth (m)
12 Percentage (% in 1m bins) Methodology: Pre-Processing Exploratory data analysis, spatial statistics Trend surface fitting Model residuals Statistical modelling and normal distributions Depth (m)
13 Methodology: Interpolation Variogram modelling of residuals Kriging interpolation with variogram input Cokriging with GA 250m grid
14 Methodology: Bathymetry Grids
15 Methodology: Bathymetry Grids
16 Results
17 Direction Extend interpolation of bathymetry to other properties; sediment composition, substrate depth, and / or water column biomass Continuous collection of SBES to contribute to baseline mapping Trial of techniques across new geographic extents
18 Summary Use of acoustic observation for broad-scale monitoring of the seabed Challenges of interpolating sparse samples to a continuous surface Potential to apply techniques to various marine habitat variables
19 Questions?
20 Acknowledgements Dr Robert Corner, Senior Lecturer, Department of Spatial Sciences, Western Australian School of Mines Dr Iain Parnum, Research Fellow, Centre for Marine Science and Technology, Department of Imaging and Applied Physics Dr Miles Parsons, Research Fellow, Centre for Marine Science and Technology, Department of Imaging and Applied Physics Dr Todd Robinson, Research Fellow, Department of Spatial Sciences, Western Australian School of Mines Geosciences Australia Department of Fisheries & Fishing Vessel MV Carolina M
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Data and data product catalogue. Preliminary version May 2018
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