Spermiogenesis or Spermateleosis or metamorphosis of spermatid
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
“
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
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
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