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“Trusted Crowd-Sourced Bathymetry” Project
From the Trusted Crowd to the Chart
9th MEETING OF THE IHO CROWDSOURCED BATHYMETRY WORKING GROUP
STAVANGER, NORWAY, 29 JUNE – 2 JULY 2020
G. Masetti, M. Rondeau, B.J. Barón, P. Wills, Y.M. Petersen, J. Salmia
Danish
Geodata
Agency
Canadian
Hydrographic
Service
Trusted Crowd-Sourced Bathymetry Project
Problem Statement
● Monitor the maritime territory
● Increase knowledge of the oceans
● Special focus on the Arctic region
Supervise Collection of Spatial Data Facilitate Data Distribution & Accessibility
Leverage cooperation and synergy with existing infrastructures and activities:
Trusted Crowd-Sourced Bathymetry
High Cost/Efforts of
Traditional Surveying
More & Timely-Collected
Hydrographic Data vs.
Trusted
What is Bathymetric Crowdsourcing?
“The collection of depth measurements
from vessels,
using standard navigation instruments,
while engaged in
routine maritime operations.”
(IHO B-12 v.2.0.3)
Why a Trusted Crowd?
Trusted CSB
“CSB where relevant efforts are dedicated to support the collectors, as well as
in monitoring the quality of the collected data, by comparison with other collectors and more credible sources.”
● Constant data stream with better quality than basic CSB collectors
● Limiting low-quality data to keep high the agency responsiveness
How to Build a Trusted Crowd?
● Targeted partners (sailing in zones of interest)
● Open data loggers
○ Low cost (~3000 €)
○ High performing (GNSS, multi freq; pitch/roll; communication)
○ Calibrated
● Open automated data workflow
○ Acquisition
○ Validation & Analysis
Targeted partners
ㅁENC Coastal
ㅁENC Approach
[..] SINAA destinations
[..] NUNALIK destinations
NONNA-100
[..] SINAA destinations
[..] NUNALIK destinations
CA373417 Cape Prince
of Wales to Davies
Island
ㅁENC Coastal
NONNA-100
[..] SINAA destinations
ㅁENC Coastal
ㅁENC Approach
NONNA-100
[..] Sedna destinations
Data loggers → Trusted Soundings
Data loggers → Trusted Soundings
Ref: Rondeau, M., and Dion, P., “Potential of a HydroBox crowd-sourced bathymetric data logger to support the monitoring of the Saint-Lawrence Waterway”, Canadian Hydrographic Conference 2020.
Ref: G. Masetti, Kelley, J. G., Johnson, P., and Beaudoin, J., “A Ray-Tracing Uncertainty Estimation Tool for Ocean Mapping”, IEEE Access, vol. 6. IEEE, pp. 2136 - 2144, 2017.
SSP from models (Smart Map)
CA373417 Cape Prince
of Wales to Davies
Island
Data loggers (calibrated)
1) Z axis is calibrated on a
flat and known as stable
seabed
2) X axis is calibrated on a
series of bumps and
hollows known as stable
(no dunes)
Trusted Crowd-Sourced Bathymetry Project
1) Z axis is calibrated on a
flat and known as stable
seabed
2) X axis is calibrated on a
series of bumps and
hollows known as stable
(no dunes)
Trusted Crowd-Sourced Bathymetry Project
Interpolated bathymetric surface
(5m resolution).
Soundings reduced to CD.
Data collected in January, 2020
TCSB Data Analysis → Chart Adequacy Tools
Open-source tool that performs
chart adequacy tasks
by comparing TCSB data
and current ENC portfolio
Ref: Masetti, G., Faulkes, T., and Kastrisios, C., “Automated Identification of Discrepancies Between Nautical Charts and Survey Soundings”, ISPRS International Journal of Geo-Information, vol. 7, p. 392, 2018.
Point cloud from several features in the input ENC:
● SOUNDG points.
● DEPCNT lines with valid VALDCO attribute.
● DRGARE polygons with valid DRVAL1 attribute.
● Point features with valid VALSOU attribute.
● COALNE and SLCONS lines.
● DEPARE polygons (only for ENC cell boundaries).
Augmented by interpolating the linear features (at 1 cm @ compilation scale).
Trusted Crowd-Sourced Bathymetry Project
Trusted Crowd-Sourced Bathymetry Project
TCSB sounding
Trusted Crowd-Sourced Bathymetry Project
Chart Comparison → Tilted Triangle
Ref: Masetti, G., Faulkes, T., and Kastrisios, C., “Automated Identification of Discrepancies Between Nautical Charts and Survey Soundings”, ISPRS International Journal of Geo-Information, vol. 7, p. 392, 2018.
Ref: Masetti, G., Faulkes, T., and Kastrisios, C., “Automated Identification of Discrepancies Between Nautical Charts and Survey Soundings”, ISPRS International Journal of Geo-Information, vol. 7, p. 392, 2018.
TCSB Data in Hydrographic Office Workflow
Trusted Crowd Data Validation(*)
Calibration
& Offsets
Verification
Analysis &
Chart
Adequacy
Outputs
HO’s Production
Teams
ENC Portfolio
SSP from
models
(*) HO-managed Trusted Node (compatible with IHO B-12 Trusted Node Model)
Next Steps
● Identify Industry/Research/Agency partner(s):
○ Evaluate open data logger devices → Quality vs. Price balance
○ Explore communication solutions → Tracking/Data Exchange
○ Develop an open workflow for data analysis → GitHub repo
● Showcase chartable TCSB data
Questions?
For comments and suggestions: gimas@gst.dk, mathieu.rondeau@dfo-mpo.gc.ca
Danish
Geodata
Agency
Canadian
Hydrographic
Service

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Trusted Crowd-Sourced Bathymetry Project

  • 1. “Trusted Crowd-Sourced Bathymetry” Project From the Trusted Crowd to the Chart 9th MEETING OF THE IHO CROWDSOURCED BATHYMETRY WORKING GROUP STAVANGER, NORWAY, 29 JUNE – 2 JULY 2020 G. Masetti, M. Rondeau, B.J. Barón, P. Wills, Y.M. Petersen, J. Salmia Danish Geodata Agency Canadian Hydrographic Service
  • 3. Problem Statement ● Monitor the maritime territory ● Increase knowledge of the oceans ● Special focus on the Arctic region Supervise Collection of Spatial Data Facilitate Data Distribution & Accessibility Leverage cooperation and synergy with existing infrastructures and activities: Trusted Crowd-Sourced Bathymetry High Cost/Efforts of Traditional Surveying More & Timely-Collected Hydrographic Data vs.
  • 4. Trusted What is Bathymetric Crowdsourcing? “The collection of depth measurements from vessels, using standard navigation instruments, while engaged in routine maritime operations.” (IHO B-12 v.2.0.3)
  • 5. Why a Trusted Crowd? Trusted CSB “CSB where relevant efforts are dedicated to support the collectors, as well as in monitoring the quality of the collected data, by comparison with other collectors and more credible sources.” ● Constant data stream with better quality than basic CSB collectors ● Limiting low-quality data to keep high the agency responsiveness
  • 6. How to Build a Trusted Crowd? ● Targeted partners (sailing in zones of interest) ● Open data loggers ○ Low cost (~3000 €) ○ High performing (GNSS, multi freq; pitch/roll; communication) ○ Calibrated ● Open automated data workflow ○ Acquisition ○ Validation & Analysis
  • 8. ㅁENC Coastal ㅁENC Approach [..] SINAA destinations [..] NUNALIK destinations
  • 10. CA373417 Cape Prince of Wales to Davies Island ㅁENC Coastal NONNA-100 [..] SINAA destinations
  • 12. Data loggers → Trusted Soundings
  • 13. Data loggers → Trusted Soundings Ref: Rondeau, M., and Dion, P., “Potential of a HydroBox crowd-sourced bathymetric data logger to support the monitoring of the Saint-Lawrence Waterway”, Canadian Hydrographic Conference 2020.
  • 14. Ref: G. Masetti, Kelley, J. G., Johnson, P., and Beaudoin, J., “A Ray-Tracing Uncertainty Estimation Tool for Ocean Mapping”, IEEE Access, vol. 6. IEEE, pp. 2136 - 2144, 2017. SSP from models (Smart Map) CA373417 Cape Prince of Wales to Davies Island
  • 15. Data loggers (calibrated) 1) Z axis is calibrated on a flat and known as stable seabed 2) X axis is calibrated on a series of bumps and hollows known as stable (no dunes)
  • 17. 1) Z axis is calibrated on a flat and known as stable seabed
  • 18. 2) X axis is calibrated on a series of bumps and hollows known as stable (no dunes)
  • 20. Interpolated bathymetric surface (5m resolution). Soundings reduced to CD. Data collected in January, 2020
  • 21. TCSB Data Analysis → Chart Adequacy Tools Open-source tool that performs chart adequacy tasks by comparing TCSB data and current ENC portfolio Ref: Masetti, G., Faulkes, T., and Kastrisios, C., “Automated Identification of Discrepancies Between Nautical Charts and Survey Soundings”, ISPRS International Journal of Geo-Information, vol. 7, p. 392, 2018.
  • 22. Point cloud from several features in the input ENC: ● SOUNDG points. ● DEPCNT lines with valid VALDCO attribute. ● DRGARE polygons with valid DRVAL1 attribute. ● Point features with valid VALSOU attribute. ● COALNE and SLCONS lines. ● DEPARE polygons (only for ENC cell boundaries). Augmented by interpolating the linear features (at 1 cm @ compilation scale).
  • 27. Chart Comparison → Tilted Triangle Ref: Masetti, G., Faulkes, T., and Kastrisios, C., “Automated Identification of Discrepancies Between Nautical Charts and Survey Soundings”, ISPRS International Journal of Geo-Information, vol. 7, p. 392, 2018.
  • 28. Ref: Masetti, G., Faulkes, T., and Kastrisios, C., “Automated Identification of Discrepancies Between Nautical Charts and Survey Soundings”, ISPRS International Journal of Geo-Information, vol. 7, p. 392, 2018.
  • 29. TCSB Data in Hydrographic Office Workflow Trusted Crowd Data Validation(*) Calibration & Offsets Verification Analysis & Chart Adequacy Outputs HO’s Production Teams ENC Portfolio SSP from models (*) HO-managed Trusted Node (compatible with IHO B-12 Trusted Node Model)
  • 30. Next Steps ● Identify Industry/Research/Agency partner(s): ○ Evaluate open data logger devices → Quality vs. Price balance ○ Explore communication solutions → Tracking/Data Exchange ○ Develop an open workflow for data analysis → GitHub repo ● Showcase chartable TCSB data
  • 31. Questions? For comments and suggestions: gimas@gst.dk, mathieu.rondeau@dfo-mpo.gc.ca Danish Geodata Agency Canadian Hydrographic Service