Presentatie workshop 29 Oktober 2010.
Het Marine Observation and Data Network heeft tot doel de meest geëigende processen en de beste technologie in te zetten om inzicht te krijgen in het gedrag van de zeeën en oceanen. Het huidige project zet daarin een eerste stap door het samenvoegen en beschikbaar stellen van tot nu toe gefragmenteerde en niet toegankelijk maritieme gegevens.
In de presentatie wordt ingegaan op de daarbij toegepaste technologie. Ook wordt aangegeven op welke wijze een framework als SDI en een initiatief als INSPIRE worden toegepast.
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HSB presentation 29 oktober 2
Agenda
Background / Problem definition
Objectives
Standards
Coverage
EMODNET Hydrographic portal
Data aspects
Questions
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HSB presentation 29 oktober 2
Background
Initiated by the EU's Maritime Policy Blue Book
The behavior of seas and oceans is crucial to human life on this planet
The marine life influences the provision of food
Changes in coastal morphology influence erosion, flooding and
maritime transport
Ocean circulation is a primary, if poorly-understood, influence on
the terrestrial climate
Since the industrial revolution there is an ever growing
interdependence between the human and marine domains
The impact of future changes in oceanic systems, their impact on
human activity and the feedbacks on the ocean cannot be forecast
without understanding the way the system works
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HSB presentation 29 oktober 2
Problem definition
High demand for maritime data
Available data is at a national level
Available data is domain specific
Single purpose data collection driven by a specific regulation
(e.g. safe navigation)
Data is of uncertain quality
Difficult to create a coherent “picture”
Regulation do not apply to private institutes and research
facilities
Cost
Lack of specific standardisation
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HSB presentation 29 oktober 2
Objectives
Define the appropriate processes, develop the best
technology and estimate the costs of a final
operational European Marine Observation and Data
Network
Provide first components of a final system
Assemble fragmented and inaccessible marine data
into interoperable, contiguous and publicly available
data streams for complete maritime basins.
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HSB presentation 29 oktober 2
Objectives (improve and enhance)
Discovery of Data
Access to data
Use of data
Cost of data
Coherence of Data
Quality of Data.
Quantity of Data
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HSB presentation 29 oktober 2
Standards
INSPIRE
OGC
SeaDataNet
Technology
SENS
Spatial Enterprise Nautical Solutions
AGWS
ATLIS Geo Web Server
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HSB presentation 29 oktober 2
Data content of EMODNET project
Hydrography lot
Water depth in gridded form (500 m grid)
Water depth in vector form with isobaths at a scale
of at least one to one million.
Coastlines
Underwater features
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HSB presentation 29 oktober 2
EMODNET north
Coordinated by ATLIS
Participating data providers:
Netherlands HO
Belgium HO
French HO
German HO
Danish Survey Department
Norwegian HO
National Oceanographic Centre UK
Irish Geological Service
GEBCO
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HSB presentation 29 oktober 2
EMODNET south
Coordinated by IFREMER
Participating data providers:
IFREMER
Spanish Geological Service
Italian Geological Service
GEBCO
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Netherlands HO
Level 5 RBB gridded data for most parts of
continental shelf area
Charted depths for northern part
Meta data and survey areas (stukkenkaart)
Data format ASCII xyz
Lat long format WGS84
LAT depths positive down
3.048.958 depths from RBB
465 depths for charted depth area
ENC data delivered (usage 3 and 2)
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HSB presentation 29 oktober 2
Belgium HO
500 meter gridded ASCII data
Source both BE,NL and UK (UK for northern part)
No metadata
Data format ASCII xyz
UTM zone 31
LAT depths positive down
No ENC data
20803 depths
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HSB presentation 29 oktober 2
Irish Geological Service
0.00417 degree gridded data
ESRI ASCII grid
3.566.086 depths
Unprojected WGS 84
MSL depths negative down
No complete coverage of Irish shelf
Resolution was slightly off with EMODNET specs
No ENC data
No metadata
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HSB presentation 29 oktober 2
German HO
500 x 500 meter grid
Incomplete coverage
1.346.323 depths
Unprojected Lat/lon WGS84
LAT depths positive down
No ENC data
No metadata
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HSB presentation 29 oktober 2
French HO
ASCII point data
4.780.886 depths
Unprojected Lat/lon WGS84
LAT depths positive down
Including metadata
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HSB presentation 29 oktober 2
NOCS UK
ESRI ASCII grid for own data
5.810.477 depths
Unprojected Lat/lon WGS84
LAT depths positive down
No metadata
EMODNET grid data for combined GEBCO/NOCS
data set
NO UK HO data used
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HSB presentation 29 oktober 2
Denmark (Survey Department)
NetCDF gridded data
50 x 50 meter grid resampled
Different source data
Led line to Multibeam
Unprojected Lat/lon WGS84
Meta data in ESRI project files
No information about resampling method
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Norway HO
No complete DTM available yet
Alternative source
ENC data
Bathydata created based on:
Contours
Spotsoundings
Coastline
6.820.472 depth generated
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EMODNET grid format
1. Lat
2. Lon
3. Minimum depth
4. Maximum depth
5. Mean depth
6. Standard deviation in grid
7. Number of cells used to interpolate empty grid cells
8. Number of depths used to calculate mean depth
9. Smoothed depth
10. Difference in % between smoothed depth and mean
11. CDI record id for source
12. DTM source other than GEBCO
13. GEBCO indicator
ASCII format with .grd extention
; delimited
Columns:
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HSB presentation 29 oktober 2
GRID definition
Grid size: 0.00416667 degrees square
15 arc seconds
Approximate 500 x 500 meter
1. Discovery of Data. It is difficult for potential users to obtain an overview of
what data - biological, chemical, physical, geological - are available in a
particular region.
2. Access to data. Those holding the data may not release them either because of
confidentiality or security constraints, because they do not or cannot allocate
sufficient resources for archiving and maintaining data (e.g. data stored on
increasingly obsolete technological systems) or because they wish to retain a
monopoly of products derived from the data.
3. Use of data. Even where data are available, their use or re-use may be limited
by the data policy of the owner. The primary driver for data creation can limit
their broader use.
4. Cost of data. The prices imposed by some data-owners reduces the uptake of
these data by users.
5. Coherence of Data. Developing a complete picture in time and space over a
sea-area using data collected by different bodies is complicated by
fragmented standards, formats and nomenclature. This is particularly the case
when there is a need to study cross-border areas or to use data stemming from
EN 17 EN
diverse expert communities.. Whether studying ocean circulation, fish stock
populations or tsunamis, data from different sources are required.
6. Quality of Data. There are no universally-recognised measures of quality,
precision or accuracy. Metadata documentation may be sparse or inadequate
so potential users do not know what confidence to ascribe to the data.
7. Quantity of Data. At present there is not enough data being observed to meet
many user requirements. There are serious gaps in coverage and range of data
types.
SeaDataNet
SeaDataNet has federated open digital repositories to manage, access and share data, information, products and knowledge originating from oceanographic fleets, new automatic observation systems and space sensors.