EMODnet data. Flanders Marine Institute. Simon Claus. A. Giorgetti, D. Schaap, A. Novellino, A. Pititto, H.Lilis, V. Henry, T.

Transcription

1 EMODnet data Simon Claus A. Giorgetti, D. Schaap, A. Novellino, A. Pititto, H.Lilis, V. Henry, T. Schmitt Flanders Marine Institute

2 EMODnet data themes Types of Data Vocabularies Data Exchange Format Metadata 11/16/2017 2

3

4 Overall objectives The objective is to assemble data from public and private organisations relating to the state of sea basins; processing them into interoperable formats which includes agreed standards, assessments of their accuracy and precision, making them available and creating data products; 4 EMODnet November 16, 2017

5 Bathymetry

6 Types of data Water depth (Referring to the Lowest Astronomical Tide LAT) in gridded form on a DTM grid of 1/8 * 1/8 arc minute (ca 230 * 230 m) - Minimum cell water depth - Maximum cell water depth - Average cell water depth - Standard deviation of cell water depth - Number of values used for interpolation of depth Products: Depth contours Mean depth full coverage with land coverage Mean depth in multi colour Mean depth rainbow colour ramp Source references Raw data: Plummet, single beam, multibeam echosoundings, LIDAR data

7 Vocabularies Water depth (Referring to the Lowest Astronomical Tide LAT) in gridded form on a DTM grid of 1/8 * 1/8 arc minute (ca 230 * 230 m) Products: Depth contours Mean depth full coverage with land coverage Mean depth in multi colour Mean depth rainbow colour ramp Source references Raw data: Plummet, single beam, multibeam echosoundings, LIDAR data Standard terms using SeaDataNet Vocabs P01 & P02 (SeaDataNet Parameter Discovery)

8 Data Exchange Format Water depth (Referring to the Lowest Astronomical Tide LAT) in gridded form on a DTM grid of 1/8 * 1/8 arc minute (ca 230 * 230 m) WMS Rest Service Products: Depth contours Mean depth full coverage with land coverage Mean depth in multi colour Mean depth rainbow colour ramp Source references Raw data: Plummet, single beam, multibeam echosoundings, LIDAR data WMS/WFS Two standard data exchange formats : ASCII ODV spreadsheet binary SeaDataNet NetCDF

9 Metadata Water depth (Referring to the Lowest Astronomical Tide LAT) in gridded form on a DTM grid of 1/8 * 1/8 arc minute (ca 230 * 230 m) Products: Depth contours Mean depth full coverage with land coverage Mean depth in multi colour Mean depth rainbow colour ramp Source references Raw data: Plummet, single beam, multibeam echosoundings, LIDAR data INSPIRE (see: INSPIRE (see: Common Data Index (CDI) (xml ISO 19139) for data points

10 Geology

11 Types of data Seabed substrate Scale 1: Scale 1: WP3: Seabed substrate, scale 1:1 M and 1:250k, later 1:100k WP3: Sedimentation rate Other Products: Sediment accumulation rate Sea-floor geology Seabed lithology Stratigraphy Coastline migration Geological events Aggregate resources WP4: Sea-floor geology, lithology, geomorphology WP5: Coastal behaviour

12 Vocabularies Seabed substrate Scale 1: Scale 1: Other Products: Sediment accumulation rate Sea-floor geology Seabed lithology Stratigraphy Coastline migration Aggregate resources Geological events Submerged landscapes Four substrate classes using the Folk triangle (mud to sandy mud; sand; coarse sediment; and mixed sediment) and one additional substrate class (rock and boulders)

13 Data Exchange Format Seabed substrate Scale 1: Scale 1: WMS/WFS Other Products: Sediment accumulation rate Sea-floor geology Seabed lithology Stratigraphy Coastline migration Aggregate resources Geological events Submerged landscapes WMS/WFS

14 Metadata Seabed substrate Scale 1: Scale 1: Other Products: Sediment accumulation rate Sea-floor geology Seabed lithology Stratigraphy Coastline migration Aggregate resources Geological events Submerged landscapes INSPIRE - Geonetwork See: eonetwork/emodnet/eng/ catalog.search#/home

15 Seabed Habitats

16 Compilation of existing data Types of data Year 1 key outputs Year 2 key outputs * New schema and process for exchanging habitat point data Additional data pub Points - sample data (e.g. * Data owned by project at least one dataset from grabs, imagery) partners published via the partner country in e portal Polygons - habitat maps from surveys Rasters predictions of individual habitat likelihood from models Maps identified as part of tender proposal, published Model outputs identified as part of the review, published * Additional maps p including at least on non-partner countr * Composite data p combine & harmon habitat maps in diff Additional model ou

17 Compilation of existing data Vocabularies Year 1 key outputs Year 2 key outputs * New schema e.g. and process for exchanging habitat point data Additional data pub Points - sample data (e.g. * Data owned EUNIS by habitat project classification at least one dataset from grabs, imagery) partners system: published via the partner country in e portal ulary/biodiversity/eunishabitats/vi * Additional maps p ew (on EIONET) including at least on Polygons - habitat maps Maps identified as part of non-partner countr from surveys tender proposal, Habitats published Directive Annex * Composite I: data p combine & harmon ulary/biodiversity/n2000habitats/ maps in diff Rasters predictions of view (on EIONET) Model outputs identified as part individual habitat Additional model ou of the review, published likelihood from models

18 Compilation of existing data Data exchange formats Year 1 key outputs Year 2 key outputs * New schema and process for exchanging OBIS habitat Env point datascheme Additional (cfr data pub Points - sample data (e.g. * Data owned Biology) by project from grabs, imagery) Polygons - habitat maps from surveys Rasters predictions of individual habitat likelihood from models partners published via the portal Maps identified as part of tender proposal, published Model outputs identified as part of the review, published at least one dataset partner country in e * Additional maps p including at least on non-partner countr * Composite data p combine & harmon habitat maps in diff See (standardised attribute tables associated to shape files) Additional model ou

19 Compilation of existing data Metadata Year 1 key outputs Year 2 key output * New INSPIRE schema and process for exchanging (see: habitat point data Additional data pu Points - sample data (e.g. from grabs, imagery) Polygons - habitat maps from surveys Rasters predictions of individual habitat likelihood from models * Data owned by project partners published via the portal Maps identified as part of tender proposal, published Model outputs identified as part of the review, published at least one datase partner country in * Additional maps including at least o non-partner count * Composite data combine & harmon habitat maps in dif Additional model o

20 Chemistry

21 Types of data Group Examples Point - sample data on 3 matrices: - water column; - biota; - sediment Eutrophication Ocean acidification Pollution Marine Litter nutrients, dissolved gasses... acidity hydrocarbons, heavy metals, pesticides, beach litter, seabed litter, microlitter N, P, Si, Oxy, Chl-a ph, pco2 anthracene, fluroanthene, Me, Cd, Produces polygons concentration maps - main nutrients - oxygen - chlorophyll Time series of data points dynamic plots

22 Vocabularies Point - sample data on 3 matrices: - water column; - biota; - sediment Standard terms using SeaDataNet Vocabs P01 & P02 (SeaDataNet Parameter Discovery Vocabulary) Produces polygons concentration maps - main nutrients - oxygen - chlorophyll Time series of data points dynamic plots

23 Data Exchange Format Point - sample data on 3 matrices: - water column; - biota; - sediment Two standard data exchange formats : ASCII ODV spreadsheet binary SeaDataNet NetCDF Produces polygons concentration maps - main nutrients - oxygen - chlorophyll Time series of data points dynamic plots One NetCDF CF format for gridded maps WMS/WFS One NetCDF CF format for dynamic plots

24 Metadata Point - sample data on 3 matrices: - water column; - biota; - sediment Common Data Index (CDI) (xml ISO 19139) for data points Produces polygons concentration maps - main nutrients - oxygen - chlorophyll Time series of data points dynamic plots INSPIRE (see: INSPIRE (see:

25 Biology

26 Types of data Point occurrence data: - Species - Abundance - Biomass - Linked environmental data Biological Components Phytoplankton Zooplankton Benthos Fish Birds Mammals Reptiles Seagrasses Microalgae Macroalgae Produces polygons gridded abundance maps - Zooplankton - Fish & benthos - Some mammals, birds, reptiles Species traits & attributes - Invasive; protected, indicator species - Bodysize, skeleton, feeding type, functional group

27 Vocabularies Point occurrence data: - Species - Abundance - Biomass - Linked environmental data Produces polygons gridded abundance maps - Zooplankton - Fish & benthos - Some mammals, birds, reptiles Species traits & attributes - Invasive; protected, indicator species - Bodysize, skeleton, feeding type, functional group Taxonomy: World Register of Marines Species (WoRMS) Functional traits: World Register of Marine Traits ( aits/wiki/)

28 Data Exchange Format Point occurrence data: - Species - Abundance - Biomass - Linked environmental data Produces polygons gridded abundance maps - Zooplankton - Fish & benthos - Some mammals, birds, reptiles Species traits & attributes - Invasive; protected, indicator species - Bodysize, skeleton, feeding type, functional group OBIS ENV Data Exchange Scheme (Darwin Core Terms) Occurrence Scheme Events Scheme Measurements or Facts WMS/WFS One NetCDF format for gridded maps WMS/WFS WoRMS Data Scheme

29 Metadata Point occurrence data: - Species - Abundance - Biomass - Linked environmental data Produces polygons gridded abundance maps - Zooplankton - Fish & benthos - Some mammals, birds, reptiles IMIS (ISO 19115) INSPIRE ( odnet/eng/catalog.search#/home) Species traits & attributes - Invasive; protected, indicator species - Bodysize, skeleton, feeding type, functional group

30 Physics

31 Types of data Near real-time (NRT) data at fixed measuring stations and by automatic observatories at sea Archived data derived from further elaboration and validation Sea water temperature Sea water currents Waves and winds (speed & direction) Atmospheric parameters at sea level River data Physical parameters Sea water salinity or density Sea level Water clarity (light attenuation) Underwater noise Data products Sealevel; Ice coverage Temp/Sal; Sea surface currents River runoff

32 Vocabularies Near real-time (NRT) data at fixed measuring stations and by automatic observatories at sea Standard terms using CF convention and SeaDataNet Vocabs P02 Archived data derived from further elaboration and validation Standard terms using SeaDataNet Vocabs P02 (SeaDataNet Parameter Discovery Vocabulary) Data products Sealevel; Ice coverage Temp/Sal; Sea surface currents River runoff

33 Data Exchange Format Near real-time (NRT) data at fixed measuring stations and by automatic observatories at sea Archived data derived from further elaboration and validation Data products Sealevel; Ice coverage Temp/Sal; Sea surface currents River runoff NetCDF format WMS/WFS THREDDS OpenDAP/ERDDAP Two standard data exchange formats : ASCII ODV spreadsheet binary SeaDataNet NetCDF NetCDF CF format for gridded maps WMS/WFS THREDDS OpenDAP/ERDDAP

34 Metadata Near real-time (NRT) data at fixed measuring stations and by automatic observatories at sea Embedded into the NetCDF files Archived data derived from further elaboration and validation Data products Sealevel; Ice coverage Temp/Sal; Sea surface currents River runoff Common Data Index (CDI) (xml ISO 19139) for data points INSPIRE (see:

35 Human Activities

36 Types of data Point Spatial extent and intensity of the different human activities (e.g. aggregate extraction, cultural heritage, aquaculture, main ports, etc.) Polygons Spatial extent and intensity of the different human activities (e.g. dumped munition, fish catches, wind farms, etc.) Aggregate Extraction Cultural Heritage Dumped munitions First sales of fish Main ports (traffic) Pipelines and Cables State of bathing waters Waste Disposal Activities Aquaculture Dredging Fish catches Hydrocarbon Extraction Ocean Energy Facilities Protected areas Wind Farms Other forms of area management Raster Vessel density maps of EU waters, based on AIS data (soon to be available)

37 Vocabularies Point Spatial extent and intensity of the different human activities (e.g. aggregate extraction, cultural heritage, aquaculture, main ports, etc.) Polygons Spatial extent and intensity of the different human activities (e.g. dumped munition, fish catches, wind farms, etc.) No previous existing vocabulary. Now terms have been added to SeaDataNet P02 P03 vocabularies Raster Vessel density maps of EU waters, based on AIS data (soon to be available)

38 Data Exchange Format Point Spatial extent and intensity of the different human activities (e.g. aggregate extraction, cultural heritage, aquaculture, main ports, etc.) Polygons Spatial extent and intensity of the different human activities (e.g. dumped munition, fish catches, wind farms, etc.) Raster Vessel density maps of EU waters, based on AIS data (soon to be available) Standardised attribute tables associated to shape files WMS/WFS Coverages representing space/time-varying phenomena that relate a spatio-temporal domain to a range of properties WCS

39 Metadata Point Spatial extent and intensity of the different human activities (e.g. aggregate extraction, cultural heritage, aquaculture, main ports, etc.) Polygons Spatial extent and intensity of the different human activities (e.g. dumped munition, fish catches, wind farms, etc.) INSPIRE - Geonetwork See: eonetwork/emodnet/eng/ catalog.search#/home Raster Vessel density maps of EU waters, based on AIS data (soon to be available)

40

41

42