Hydrographic and Data Processing Management and Workflows Marine Measurement Forum Aberdeen 1st May 2013

Trish Groves, Account Manager UK

Fredericton – Canada • Heeswijk – The Netherlands • Washington DC – United States • Adelaide – Australia Agenda • Introduction • Application and Use Case Examples – GeoAcoustics GeoSwath • Bathymetry and Sidescan Imagery – Kongsberg EM 2040 • Bathymetry, Time Series Imagery and Water Column Imagery (WCI) • Beyond Processing… – Bathymetry and metadata management – Combining results for many applications • Summary

Bathymetry Bathymetry with Imagery Bathymetry with WCI Application and Use Cases

• Datasets courtesy of Shallow Survey 2012 Common Dataset

• Three Survey Areas Selected – Taputeranaga Marine Reserve (East and West) – HMNZS Wreck Use Case Example: GeoSwath Plus

• Selected Geoswath Survey Area – from Shallow Survey 2012

– 48.5 line kilometres – Depth range of 3 to 38 metres – +178 Million Soundings – Simultaneous swath bathymetry and sidescan HMNZS Wellington and Surrounding Area • Bathymetry processing – POSPAC used for post processing – Sound Velocity Corrections applied • Smoothed Best Estimate of Trajectory (SBET) files – Total Propagated Uncertainty (TPU) Computed – GPS computed using New Zealand Quasigeoid 2009 – Created Combined Uncertainty and Bathymetry Estimator (CUBE) Surfaces HMNZS Wellington and Surrounding Area • Batch Processing HMNZS Wellington and Surrounding Area

• Created CUBE Surface – 0.5m resolution

– Geoswath data ideal for CUBE • Large quantities of data ‘where it should be’

– Custom CUBE parameters created Default CUBE – Significant reduction of artefacts, particularly along ship track lines • Caused by lower data density under nadir of Geoswath Transducers

– Isolated areas require manual intervention

Custom CUBE HMNZS Wellington and Surrounding Area

• Area Based Editing HMNZS Wellington and Surrounding Area

• 3D View – Data visualization, QC and further editing… HMNZS Wellington and Surrounding Area

• Automated Surface Filter – Filter remaining erroneous soundings using computed CUBE surface • Function of Uncertainty • Function of Standard Deviation • Greater of the Two • Lesser of the Two Soundings • Static Value (i.e. 2.0m)

• Exports – Various options to export data • CSAR Files • Export Soundings to ASCII • BAG • HTF

Reference Surface HMNZS Wellington and Surrounding Area

• Seafloor imagery processing – Side Scan imagery processed using integrated Geocoder engine

– Corrections included: • Auto Gain and TVG • Beam Pattern Correction • AVG Correction

– Created geo-referenced mosaic • 20cm grid resolution • ‘Auto-Seam’ method Use Case Example: EM 2040

• Selected EM 2040 Survey Areas (Shallow Survey 2012)

– Taputeranaga Marine Reserve (East): +19 Million Soundings – Taputeranaga Marine Reserve (West): +12 Million Soundings – HMNZS Wellington Wreck: +10 Million Soundings Taputeranaga Marine Reserve

• Bathymetry processing – Single tide station observations applied • Predicted from common dataset

– TPU Computed

West – Created CUBE Surfaces • 50cm grid resolution

• Areas of exposed , soft sediment and parts of HMNZS Wellington wreck observed

East Taputeranaga Marine Reserve

• Seafloor imagery processing – Time Series imagery processed using integrated Geocoder engine

– Corrections included: • Auto Gain and TVG • Beam Pattern Correction • AVG Correction West

– Created geo-referenced mosaic • 15cm grid resolution • ‘Auto-Seam’ method

• Areas of exposed reef and soft sediment observed − Geocoder ARA analysis reports muddy sand, fine sand, etc. East HMNZS Wellington

• Bathymetry and seafloor imagery processing – Similar to Taputeranaga Marine Reserve (East and West) areas

– CUBE Surface generated at 25cm grid resolution given Increased line spacing and data density

• Water Column Imagery (WCI) also acquired for the wreck site – Raw *.ALL files accompanied by *.WCD HMNZS Wellington

• Wreck in main 3 sections, include bow section with gun turret – Image Source: http://en.wikipedia.org/wiki/File:HMNZSWellington1_gobeirne.jpg – Image By: Greg O`Beirne

– Few returns of the gun turret barrels in the bathymetry bottom detections, but well defined in WCI… HMNZS Wellington

• WCI provides: – More complete representation of submarine landscape – Improved decision support during processing – Mechanism to increase operational efficiencies • Reduce number of survey lines

• WCI in HIPS and SIPS: – Seamlessly integrated • Accessed using common bathymetry editing tools – Loaded directly from the raw data files • Minimizes duplication of data – Called on demand • Controlled by extents of bathy editors – Accessible as 2D curtains and as 3D point cloud

– Can also be interrogated and used to supplement bathymetry bottom detection results… HMNZS Wellington

• Bathymetry supplemented in 3 easy steps…

– HMNZS Wellington example: 349 observations added as ‘additional 1. Load Bathymetry 2. Load WCI bathymetry’

– Supports least depth determination, provides more complete target representation, etc.

3. Select WCI and Add Selection The Result Combining Results

• Seafloor imagery processing – Ability to combine multiple sources of imagery • Time series imagery from EM2040 • Side Scan imagery from GeoSwath Plus

– Mosaic produced from combining all available processed imagery

– Created geo-referenced mosaic • 20cm grid resolution • ‘Overwrite’ method Beyond Processing

• Marine community requirement to effectively analyze and manage processed bathymetry and associated metadata • Manage all elevation assets together • Client / server environment with relational database • Capture and store critical metadata for search and discovery • Enhances data security, integrity and usability • Worldwide user base

Bathymetry Bathymetry Analysis and Management

• Load Surfaces into Database

EM2040 (3 Datasets) GeoSwath (1 Dataset) Bathymetry Analysis and Management

• Metadata Management – Fully customizable to meet needs of the user

• Multiple applications – Can be used for extensive queries of data – Used to resolve conflicts in combine operations

• Use Case Example: • Geoscience Australia • Vessel name (vesnam) • Starting Port (porsta) • Ending Port (porend) • Type of Sonar (sonmod) – EM 120 – EM 300 – EM 3002D. . . . Bathymetry Analysis and Management

• Select surfaces to be combined – Output resulting surface to local disk or database

• Define combine options – Output coordinate system – Resolution – Contributor layer

• Set Spatial Extents

• Resolve Conflicts – Most recent survey data – Shoalest Depth – Uncertainty / Standard Deviation – ZOC – and so on . . . Bathymetry Analysis and Management

• EM 2040 and GeoSwath Plus Combined Result

Contributor3D View Layer Data Accessibility

• Making the data available… – Internal? – External? – Software Independent?

• Web Based! Query Features Extract Bathymetry by WCS Extract to Features by WFS KML in Google Crowd Sourced Bathymetry Some data is better than no data! Summary

A comprehensive workflow allows for the following:

• Simultaneous processing of various data sources • Automated processing and cleaning tools • Integrating latest technologies • Long term storage and accessibility • Web based data discovery and dissemination • Interoperability through industry standards