Software for the Hydrographic ocean
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1. Teledyne CARIS is developing new data-centric workflows and products to improve efficiency in processing large, multi-sensor survey datasets. This includes increased automation, variable resolution surfaces that integrate data of different densities, and support for open standards like S-100. 2. Organizations are moving to data-centric approaches to more quickly process bigger survey data, better utilize resources, and transition to being marine data providers. This supports producing new customized products and services for broader user bases. 3. CARIS is working on automating processing and creating variable resolution surfaces from multiple sensor data to help organizations efficiently manage higher survey volumes and backlogs from autonomous and crowd-sourced sources.
Software for the Hydrographic ocean
- 1. 1 HSB meeting @ Offshore Energy 16 26th October 2016 Teledyne CARIS Fast Forward the Future Niels Nijhuis Account Manager Teledyne CARIS EMEA Fast Forward The Future This world keeps turning And we're safe and sound But there's more to life More to expound This world keeps learning With a knowledge we're unbound No more debate That the earth is round ” Simon Collins “
- 2. 2 CARIS Products Processing Production Distribution Analysis Data centricity Interoperability and harmonization New products and services Multi-sensor survey data Crowd- Sourcing Autonomous surveys Process automation CARIS’ Software Vision
- 3. 3 Inputs and outputs in a data centric workflow Organizations are considering data centric workflows • To realize efficiencies – Quicker turn around of bigger survey datasets – Increased automation in processing and product compilation – Better utilization of human resources – Change in the focus of human resources “Data Analysts” • To support a broader user base – New and ad hoc products and services – Big Data possibilities • To transition from producer to marine data provider – In line with Open Government and Open Data policies – Support principal of “collect once, use many times Why data centric?
- 4. 4 • Open data storage • Connectivity to 3rd party tools • Extensive scripting capabilities • Cloud based processing potential • Mobile data entry and access Service orientated and standards based systems Service orientated and standards based systems • Rules-based workflows • Survey processing and cartography • Faster and better quality results • Validation of data in field prior to loading into database Process automationProcess automation Software requirements for data centricity Interoperability and harmonization Data centricity New products and services Multi-sensor survey data Crowd- Sourcing Autonomous surveys Process automation
- 5. 5 • Basic technical challenge of interoperability has been solved – Standards based technology and data • Organizations need an interoperable approach – To maximize value from marine spatial data, – Through Open Geospatial Consortium (OGC) and International Hydrographic Organization (IHO) cooperation Interoperability Marine spatial data Data plugins (GDAL and PDAL) APIs (Python) Standards (OGC) • IHO and International Association of Oil and Gas Producers (IOGP) – Members/contractors both collect data and produce products – Data used for different purposes, but much of the data is the same Harmonization Product centric approach Data centric approach
- 6. 6 • Seabed Survey Data Model developed by the Oil and Gas industry to standardize survey deliverables – GML application schema – It is based on an ESRI data model – Now also supported in CARIS solutions – Allow hydrographic agencies and oil and gas companies to exchange data more easily SSDM Multi-sensor survey data Data centricity Interoperability and harmonization New products and services Crowd- Sourcing Autonomous surveys Process automation
- 7. 7 • The surveyors toolbox is constantly expanding • Sensors used are: – Generating bigger and bigger datasets – Many becoming more portable Multiple sensors survey Light • Laser scanner • LiDAR • Camera • Underwater laser Sound • Multibeam • Side scan • SAS • Imaging sonar Location • GNSS • INS • USBL 2G Robotics Kraken Sonar SBG Systems Elevation data from camera on Topcon Sirius Pro CSAR Point Cloud = 82 million points Area = 300m x 700m
- 8. 8 Bathy LiDAR – Fugro LADS Mk II CSAR Grid = 3m resolution Topographic and bathymetric data Data from Shallow Survey 2005 Multibeam sonar – Kongsberg EM2040 Data from Shallow Survey 2015 CSAR Grid = 20cm Resolution
- 9. 9 Bathymetric sidescan – EdgeTech 6205 Data from Shallow Survey 2015 10cm imagery 50cm bathymetry Imagery resolution now maintained during draping Satellite Derived Bathymetry CARIS Bathy DataBASE (CARIS & INAHINA) Bathymetric & Topographic Data (BMT ARGOSS, ASTER, GEBCO) Combined DEM (INAM & INGC) Satellite Data Mozambique Pilot Project Workflow- Topobathy Database
- 10. 10 Data centricity Interoperabilit y and harmonization New products and services Multi-sensor survey data Crowd- Sourcing Autonomous surveys Process automation • Increased number of platforms / sources = increased data volume to be processed – Autonomous and multi-sensor platforms – Opportunistic multibeam surveys – Crowd-Sourced Bathymetry – Satellite Derived Bathymetry • Can marine agencies cope with the influx of data? – Need to reduce, not increase, the processing backlog – Driving the need for automation, and near real-time processing Process automation • By automating data processing the platforms users can: – Obtain repeatable results and real-time QC – Optimize use of human resources (i.e. allow staff to focus on other survey and GIS tasks) – Reduce data collection to product time, and processing backlogs • All of this will enable agencies to provide marine data to broader customer base
- 11. 11 Autonomous surveys Data centricity Interoperabilit y and harmonization New products and services Multi-sensor survey data Crowd- Sourcing Process automation
- 12. 3 Inputs and outputs in a data centric workflow Organizations are considering data centric workflows • To realize efficiencies – Quicker turn around of bigger survey datasets – Increased automation in processing and product compilation – Better utilization of human resources – Change in the focus of human resources “Data Analysts” • To support a broader user base – New and ad hoc products and services – Big Data possibilities • To transition from producer to marine data provider – In line with Open Government and Open Data policies – Support principal of “collect once, use many times Why data centric?
- 13. 3 Inputs and outputs in a data centric workflow Organizations are considering data centric workflows • To realize efficiencies – Quicker turn around of bigger survey datasets – Increased automation in processing and product compilation – Better utilization of human resources – Change in the focus of human resources “Data Analysts” • To support a broader user base – New and ad hoc products and services – Big Data possibilities • To transition from producer to marine data provider – In line with Open Government and Open Data policies – Support principal of “collect once, use many times Why data centric?
- 14. 14 Database Discovery Get a view of the dataset prior to downloading it (provided by WCS and encoded as PNG) Supported queries: • Title • Abstract • Identifier • Date • Format • Subject (keywords) • Begin date • End date
- 15. 15 New products and services Data centricity Interoperabilit y and harmonization Multi-sensor survey data Crowd- Sourcing Autonomous surveys Process automation • S-100 Products – S-101 ENC – S-102 Bathymetric Surface – S-111 Surface Currents – S-112 Real Time Tidal Data Transfer – S-121 Maritime Limits and Boundaries – S-122 Marine Protected Areas – S-401 Inland ENC – S-411 Sea Ice – S-412 Met-Ocean Forecasts – ... • Agencies can currently take a hands-on approach, and experiment with creation of test datasets using existing production tools S-100
- 16. 16 Pilot trials S-102 Non-Horizontal Gridding
- 18. 18 Variable Resolution Surface Digital elevation model where the resolution varies over different areas of the model R2 R1 R3 Resolution Grid
- 20. 20 SURFACE MESH Motivation – Current solution • Divide model into depth range and resolution – Have to manage multiple models – Discontinuity near boundaries • Use a TIN – Limited in size – Holidays – Edge removal
- 21. 21 • Allows multiple resolution areas to be defined and data of varying density to be modelled in single surface – Density estimation tools determine most suitable resolution(s) based on input data • Better representation of real-life situation – Better analysis • Provides a single model for creation of contour and other bathy products – Use in charting and other GIS products • Additional uses: – Base layer for hydrography theme in Marine SDI (MSDI) – Input to form Common Operating Pictures (COP) Variable Resolution surfaces VARIABLE RESOLUTION Surface CREATION & STORAGE Ana lyze dat a Resolution Map Resolution Map
- 22. 22 VARIABLE RESOLUTION Surface CREATION & STORAGE Ana lyze dat a Resolution Map Resolution Map Node Computation VARIABLE RESOLUTION Surface CREATION & STORAGE Ana lyze dat a Resolution Map Resolution Map Node Computation CSAR Storage Level of Detail Pyramid Level of Detail Pyramid
- 23. 23 VR Storage: CSAR Framework • CARIS Spatial ARchive (CSAR) • Single file storage format for DEMs, Point Clouds, Mosaïcs and Variable Resolution data • + Metadata • Scalable to billions of grid nodes, terabytes of data • Level-of-detail pyramid Level-of-Detail Pyramid • Built in to Variable Resolution surface • Allows fast 2D and 3D visualization
- 24. 24 VARIABLE RESOLUTION Surface CREATION & STORAGE Ana lyze dat a Resolution Map Resolution Map Node Computation CSAR Storage Meshing + Processing Meshing + Processing Level of Detail Pyramid Level of Detail Pyramid VR Resolution methods Depth Resolution -20m 0.25m 5m 0.5m 10m 1.0m 20m 2.0m 40m 4.0m 80m 8.0m VR Resolution from Density - CARIS VR Resolution from Density - CARIS VR Resolution from Depth Range
- 25. 25 VR computed by Depth
- 26. 26 VR Contouring & Sounding Selection
- 27. 27 VR First release • CARIS HIPS and SIPS 10 • Includes: – Depth/density creation tools – Standard node computation (gridding) techniques – Contouring/sounding selection – Several raster tools (difference, shift, compute layer, etc.) • CARIS Bathy DataBASE – Early 2017 Data centricity Interoperabilit y and harmonization New products and services Multi-sensor survey data Crowd- Sourcing Autonomous surveys Process automation
- 28. 28 All written and image content in this document not protected by the copyrights of others is Copyright © 2016, Teledyne CARIS All rights reserved. Reproduction and redistribution is strictly prohibited without the express prior written consent of Teledyne CARIS. [email protected]