Date (Creation)

2018-09-07

Date (Revision)

2021-12-08

Date (Publication)

2025-12-12

Title

Digital Object Identifier

Date (Creation)

2016-05-19

Code

https://doi.org/10.24417/bmdc.be:dataset:2015

Citation identifier

http://metadata.naturalsciences.be / bmdc.be:dataset:2015

Belgian Marine Data Centre

Other citation details

This dataset is composed of the following sources: (1) Xavier Desmit, Dimitry Van der Zande, Wendy Bonne, Karien De Cauwer, Geneviève Lacroix (2018). Eutrophication: Chlorophyll a concentrations. (2) Xavier Desmit, Dimitry Van der Zande, Wendy Bonne, Karien De Cauwer, Geneviève Lacroix (2018). Eutrophication: Chlorophyll a concentrations (INSPIRE-compliant GML). (3) GIS raster for Chlorophyll a concentrations measured by remote sensing in the BPNS (MSFD WFMS).

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)		bmdc@naturalsciences.be	Custodian
Royal Belgian Institute of Natural Sciences (RBINS)		info@naturalsciences.be	Owner
Royal Belgian Institute of Natural Sciences (RBINS)		info@naturalsciences.be	Publisher
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Management Unit of the North Sea Mathematical Models (MUMM)		mumm@naturalsciences.be	Author

Keywords

• Oceanographic geographical features

• Reporting INSPIRE

• Federal government

GEMET - INSPIRE themes, version 1.0

• Oceanographic geographical features

European Legislation Identifier

• Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use (Text with EEA relevance)

Marine Regions

• Belgian part of the North Sea
• Greater North Sea, incl. the Kattegat and the English Channel

GEMET - Concepts, version 4.2.1

• marine monitoring
• environmental monitoring
• chlorophyll
• Marine Strategy Framework Directive

INSPIRE Registry: Priority Datasets

• Directive 2008/56/EC

NERC Vocabulary Server - C45 Vocabulary version 3.0

• Eutrophication is minimised

INSPIRE Registry: Spatial scope

• National

Themes for open data catalogi in Belgium

• Environment

INSPIRE Registry: feature concepts

• Oceanographic Geographical Features

Eionet Central Data Repository

• (Criteria) D5C2 - Chlorophyll a concentration

Use constraints

Other restrictions

Other constraints

No conditions apply to access and use

Other constraints

https://creativecommons.org/licenses/by/4.0/

Access constraints

Other restrictions

Other constraints

No limitations on public access.

Use limitation

No conditions apply to use.

Classification

Unclassified

Spatial representation type

Vector

Language

English

Topic category

• Oceans

Extent type code

Yes

Title

Vlaams Instituut voor de Zee (VLIZ)

Date

Code

Belgian Coast

Extent type code

Yes

Title

Vlaams Instituut voor de Zee (VLIZ)

Date

Code

Belgian Exclusive Economic Zone

gml32:beginPosition

2012-01-01

gml32:endPosition

2016-12-31

Reference system identifier

http://www.opengis.net/def/crs/EPSG/0/3035

Distribution format

Name	Version
application/xml	Unknown
application/x-netcdf	Unknown
application/gml+xml	Unknown

OnLine resource

Protocol	Linkage	Name
DOI	https://doi.org/10.24417/bmdc.be:dataset:2015	Digital Object Identifier (DOI)

Hierarchy level

Dataset

Statement

Chlorophyll a concentration (Chl) was generated from daily data from ocean colour sensors (i.e. SeaWiFS, MODIS, MERIS, VIIRS) for the years 1998-2017. The algorithms used to derive data from the satellite sensors correspond to the best available algorithms given the optical characteristics of the considered water (i.e. turbid and clear waters). We started from a collection of well-validated operational satellite-based chlorophyll products for the Greater North Sea: 1) CMEMS nr. 67 product where Chl is estimated from the OC5ci algorithm, a combination of OCI (Hu, Lee & Franz, 2012) and OC5 (Gohin, F., et al., 2008.), developed at PML and 2) red-NIR ratio algorithm developed by Gons et al. (2002, 2005) for eutrophic and turbid waters applied to remote sensing reflectance obtained by Envisat-MERIS (MEGS 8.1 processing). For each of these products it was determined for which water types, described in terms remote sensing reflectance (Rrs) spectra, they provided the most accurate chlorophyll estimations based on a variety of reference datasets from the CCRR project (Nechad et al., 2015). These reference data sets were specifically designed to test algorithms and assess their accuracy for retrieving water quality parameters such as Chl concentration. In the next phase of the Chl product generation, a blending process is applied to join chlorophyll-a datasets based on best suited algorithm/water type combination. Quality control has been applied according to the standard satellite product confidence flags for the MEGS8.1 processor, and a specialized flagging approach designed for the OC5ci and Gons algorithms. The original NetCDF file result has been converted into shapefile. The data is then dynamically made available through WFS and statically converted to an INSPIRE-compliant GML file. The INSPIRE EEA 1kmx1km reference grid has been used.

Metadata

File identifier

bmdc.be:dataset:2015 XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2025-12-12T16:12:41.982Z

Metadata standard name

Geographic information -- Metadata

Metadata standard version

ISO 19115:2003/19139

Metadata author

Organisation name	Individual name	Electronic mail address	Role
Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)		bmdc@naturalsciences.be	Point of contact

Other language

Language	Character encoding
Dutch; Flemish
French
English
German