https://publish.geo.be/geonetwork/igiljugb/api/records/
type: PagedCollection
type: PartialCollectionView
last page: https://publish.geo.be/geonetwork/igiljugb/api/records/
total items: 378
next page: https://publish.geo.be/geonetwork/igiljugb/api/records/
items per page: 10

geo.be Metadata Catalog
type: Catalog
label: geo.be Metadata Catalog (National Geographic Institute)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: National Geographic Institute
themes: INSPIRE media-types register
themes: GEMET - INSPIRE themes, version 1.0
themes: GEMET
themes: INSPIRE glossary
themes: Continents, countries, sea regions of the world.
themes: Belgian Federal Thesaurus
themes: Spatial scope
themes: INSPIRE priority data set
themes: Classification of spatial data services
themes: INSPIRE layer register
themes: INSPIRE feature concept dictionary
language: eng
dataset: Download Service (WFS) for 'User reports from the RMI smartphone app'
record: RMI APPOBS WFS
dataset: wideumont hail
record: RMI DATASET WIDEUMONT HAIL
dataset: bmdc.be:dataset:3142
record: bmdc.be:dataset:3142
dataset: bmdc.be:dataset:3141
record: bmdc.be:dataset:3141
dataset: synop
record: RMI DATASET SYNOP
dataset: Download Service (WFS) for Synoptic observations
record: RMI SYNOP WFS
dataset: bmdc.be:dataset:3145
record: bmdc.be:dataset:3145
dataset: Download Service (WCS) for Alaro over Belgium
record: RMI ALARO WCS
dataset: National Geographic Institute
dataset: INSPIRE media-types register
dataset: GEMET - INSPIRE themes, version 1.0
dataset: GEMET
dataset: INSPIRE glossary
dataset: Continents, countries, sea regions of the world.
dataset: Belgian Federal Thesaurus
dataset: Spatial scope
dataset: INSPIRE priority data set
dataset: Classification of spatial data services
dataset: INSPIRE layer register
dataset: INSPIRE feature concept dictionary
dataset: RMI APPOBS WFS
dataset: RMI DATASET WIDEUMONT HAIL
dataset: Risk of hail - Wideumont weather radar
dataset: Pelagic community cell abundances and carbon biomass
dataset: Microbial growth and micro, mesozooplankton grazing
dataset: RMI DATASET SYNOP
dataset: Synoptic observations
dataset: RMI SYNOP WFS
dataset: HPLC pigment identification
dataset: RMI ALARO WCS
dataset: infoFeatureAccessService
dataset: Atmospheric conditions
dataset: Meteorological geographical features
dataset: WWW:LINK-1.0-http--link-
dataset: OGC:WFS-1.0.0-http-get-capabilities-
dataset: Digital Object Identifier (DOI)
dataset: synop:synop
dataset: WWW:DOWNLOAD-1.0-ftp--download-
dataset: Documentation
dataset: View service - Hillshade DSM 1m
dataset: OGC:WMS-
dataset: OGC:WMTS-
dataset: OGC:WCS-1.1.0-http-get-capabilities-
dataset: Royal Meteorological Institute of Belgium
dataset: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
dataset: Laboratorium voor Protistologie en Aquatische Ecologie, Departement Biologie (UGent)
dataset: Royal Belgian Institute of Natural Sciences (RBINS)

National Geographic Institute
type: Organization

INSPIRE media-types register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET - INSPIRE themes, version 1.0
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE glossary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Belgian Federal Thesaurus
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Spatial scope
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE priority data set
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Classification of spatial data services
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE layer register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE feature concept dictionary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Download Service (WFS) for 'User reports from the RMI smartphone app'
keyword: WFS 1.0.0
keyword: WFS 1.1.0
keyword: WFS 2.0.0
keyword: federal government
theme: infoFeatureAccessService
theme: National
publisher: Royal Meteorological Institute of Belgium
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. Scientific publications should refer to https://doi.org/10.5194/ecss2023-50
distribution: WWW:LINK-1.0-http--link-
distribution: OGC:WFS-1.0.0-http-get-capabilities-

Risk of hail - Wideumont weather radar
type: Dataset
abstract: Hail products are derived from the observed vertical profiles of radar reflectivity and the NWP vertical profiles of temperature. Three types of products are generated. poh : probability of hail of any size (larger than 0.5 cm diameter)expressed in %. posh : probability of severe hail(larger than 2cm)expressed in %. mesh : maximum expected size of hailexpressed in mm of hailstone diameter. All products are generated every 5 minutes. This product is not publically available yet.
keyword: federal government
keyword: hail
keyword: observation
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.0103 47.6612, 2.0103 52.1658, 8.9985 52.1658, 8.9985 47.6612, 2.0103 47.6612))
temporal: 2016-04-01T00:00:00 /
updated: 2025-10-07
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
data quality: Hail detection module is an implementation of two hail detection algorithms: of Witt and of Waldvogel (Waldvogelet al., 1979). The module takes radar observations and temperature information and estimates probability of hail (POH, %), probability of severe hail (POSH, %) and maximum expected size of hail (MESH, mm). The implementation of the Waldvogel algorithm is based on the Holleman's equation (I. Holleman, 2001), which was verified for Belgium by Delobbe et al. (2003). The POH is derived in the algorithm from the presence of a substantial updraft detected above the freezing level (0º-isoterm). The implementation of the Witt algorithm is based on the weighted integration of the reflectivity values between the heights of 0º-isoterm and -20º-isotherm (Witt et al., 1998). This algorithm provides POSH and MESH estimates.

bmdc.be:dataset:3142
type: CatalogRecord
primary topic: bmdc.be:dataset:3142
conforms to: 32557.html
issued: 2026-06-18
modified: 2026-06-18

Pelagic community cell abundances and carbon biomass
type: Dataset
abstract: UNDER EMBARGO - This dataset is part of BE/2023 sampling campagn in SW Greenland fjords (Igaliku and Tunulliarfik). Pelagic community was analysed using Imaging Flow Cytometry (iFCM) with an ImageStream®X Mk II. Cells were grouped into functional size classes—pico-, nano- and microplankton—according to measured cell length. Cells lacking chlorophyll autofluorescence were classified as heterotrophic or chemotrophic organisms, including heterotrophic picoplankton/bacteria (HP; ≤2 µm) and heterotrophic nanoplankton (HN; 2–20 µm). No larger heterotrophs (>20 µm) were visually detected. Autofluorescent cells were considered phototrophic, although this fraction may also include mixotrophic taxa, and comprised picophytoplankton (AP; ≤2 µm), nanophytoplankton (AN; 2–20 µm), and microphytoplankton (AMicro; 20–100 µm). To estimate the biovolume of each plankton class, the two-dimensional cell surface area measured by the IDEAS® imaging software was multiplied by the mean cell width, assuming that cell width approximates the third spatial dimension. Carbon biomass was subsequently derived from biovolume using established carbon–volume relationships. For the HP fraction, carbon content was estimated using the bacterial conversion proposed by Romanova and Sazhin (2010), where volume is expressed in µm³. Although the HP fraction may also include heterotrophic picoeukaryotes, and its biomass may therefore be partly underestimated, this conversion was applied because the fraction was assumed to be numerically dominated by bacteria. For the other protist groups, carbon biomass was derived following Menden-Deuer and Lessard (2000). Carbon values were converted from pg C cell⁻¹ to carbon biomass (µg C L⁻¹) based on cell abundance.
keyword: flow cytometry
keyword: fjord
keyword: bacteria
keyword: Reporting INSPIRE
keyword: Federal government
keyword: Greenland
theme: marine environment
theme: oceans
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-46.58078 60.57022, -46.58078 61.15508, -45.36212 61.15508, -45.36212 60.57022, -46.58078 60.57022))
temporal: 2023-07-17 / 2023-07-31
issued: 2026-06-16
updated: 2026-06-16
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
publisher: Laboratorium voor Protistologie en Aquatische Ecologie, Departement Biologie (UGent)
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: Because the upper size detection limit of this instrument (iFCM) is 100 µm, 14 mL of each seawater sample was pre-filtered through a 100 µm mesh to remove larger particles. The filtrate was subsequently fixed with glutaraldehyde (final concentration 1.0%) and stored at 4 °C. Samples were allowed to sediment for at least 48 h, after which the supernatant was carefully removed to obtain a final 7× concentration. This concentration step was necessary to compensate for the relatively low abundance of larger cells within the small analytical volume processed by the instrument.Prior to acquisition, 0.5 mL of each sample was stained with 1% (v/v) SYBR Green I (100× working solution in DMSO) and incubated in the dark at 37 °C for 20 min. Microscopic images (40× magnification; pixel size 0.5 × 0.5 µm) and flow cytometry signals, including brightfield images, fluorescence at 488 nm (SYBR Green–stained nucleic acids), and fluorescence at 642 nm (chlorophyll autofluorescence), were recorded for further analysis.Using IDEAS® software (v. 6.2), plankton populations were identified and quantified based on their optical and fluorescence characteristics.

bmdc.be:dataset:3141
type: CatalogRecord
primary topic: bmdc.be:dataset:3141
conforms to: 32557.html
issued: 2026-06-18
modified: 2026-06-18

Microbial growth and micro, mesozooplankton grazing
type: Dataset
abstract: UNDER EMBARGO - This dataset originates from the BE/2023 sampling campaign conducted in southwest Greenland fjords (Igaliku and Tunulliarfik) and quantifies grazing impacts by micro- and mesozooplankton on phytoplankton and heterotrophic microbial communities (including bacteria) in two fjord systems characterized by contrasting glacial regimes. Grazing and microbial growth rates were estimated using two-point dilution experiments (two-point dilution experiments), alongside experiments assessing mesozooplankton and copepod grazing on both phytoplankton and microzooplankton. Community responses were resolved using imaging flow cytometry, enabling the identification of plankton functional groups (autotrophic, mixotrophic, and heterotrophic) and size classes. The dataset also includes measurements of chlorophyll a variability determined by high-performance liquid chromatography. Overall, the dataset supports analyses of trophic interactions and grazing dynamics across the microbial food web under differing glacier-influenced environmental conditions.
keyword: flow cytometry
keyword: fjord
keyword: grazing
keyword: protist
keyword: bacteria
keyword: Reporting INSPIRE
keyword: Federal government
keyword: Greenland
theme: marine environment
theme: oceans
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-46.58078 60.57022, -46.58078 61.15508, -45.36212 61.15508, -45.36212 60.57022, -46.58078 60.57022))
temporal: 2023-07-18 / 2023-07-31
issued: 2026-06-16
updated: 2026-06-16
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
publisher: Laboratorium voor Protistologie en Aquatische Ecologie, Departement Biologie (UGent)
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: Because the upper size detection limit of this instrument (iFCM) is 100 µm, 14 mL of each seawater sample was pre-filtered through a 100 µm mesh to remove larger particles. The filtrate was subsequently fixed with glutaraldehyde (final concentration 1.0%) and stored at 4 °C. Samples were allowed to sediment for at least 48 h, after which the supernatant was carefully removed to obtain a final 7× concentration. This concentration step was necessary to compensate for the relatively low abundance of larger cells within the small analytical volume processed by the instrument.Prior to acquisition, 0.5 mL of each sample was stained with 1% (v/v) SYBR Green I (100× working solution in DMSO) and incubated in the dark at 37 °C for 20 min. Microscopic images (40× magnification; pixel size 0.5 × 0.5 µm) and flow cytometry signals, including brightfield images, fluorescence at 488 nm (SYBR Green–stained nucleic acids), and fluorescence at 642 nm (chlorophyll autofluorescence), were recorded for further analysis.Using IDEAS® software (v. 6.2), plankton populations were identified and quantified based on their optical and fluorescence characteristics. For chlorophyll a analysis, seawater volumes ranging from 400 mL to 600 mL were filtered onto 25-mm diameter Whatman GF/F filters and immediately stored at -80°C until further analysis. Pigments were extracted using 90% acetone and analysed by High-Performance Liquid Chromatography (HPLC) following the method of Van Heukelem and Thomas (2001). Calibration was performed using pigment standards from DHI Water and Environment (Hørsholm, Denmark). In the dataset is indicated the final consentration (μg/L) of each detected photosyntetic pigment.

Synoptic observations
type: Dataset
abstract: The SYNOP data of RMI contain the observations of the synoptic network, currently consisting of 29 stations, 13 of which are owned by RMI. The other stations belong to MeteoWing (8 stations), Skeyes (7 stations). There is also 1 foreign station. All SYNOP data is given in Universal Time! (local time winter = UT +1; local time summer = UT + 2) Parameters: 1. Precipitation: PRECIP_QUANTITY + PRECIP_RANGE 2. Temperature: TEMP + TEMP_MIN + TEMP_MAX + TEMP_GRASS_MIN 3. Wind: WIND_SPEED + WIND_SPEED_UNIT + WIND_DIRECTION + WIND_PEAK_SPEED 4. relative humidity: HUMIDITY_RELATIVE 5. weather type: WEATHER_CURRENT 6. air pressure: PRESSURE of PRESSURE_STATION_LEVEL 7. sunshine duration: SUN_DURATION_24H 8. Global radiation: SHORT_WAVE_FROM_SKY_24HOUR 9. Total cloudiness: CLOUDINESS
keyword: Reporting INSPIRE
keyword: federal government
keyword: observation
keyword: synoptic
keyword: cloudiness
keyword: visibility
keyword: wind speed
keyword: wind direction
keyword: gusts
keyword: temperature
keyword: dew point
keyword: humidity
keyword: pressure
keyword: weather type
keyword: precipitation
keyword: snow
keyword: sun duration
theme: Meteorological geographical features
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.653 49.606, 2.653 51.45, 6.233 51.45, 6.233 49.606, 2.653 49.606))
temporal: 1952-01-01T00:00:00 /
updated: 2025-10-21
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
distribution: synop:synop
distribution: WWW:DOWNLOAD-1.0-ftp--download-
distribution: Documentation
data quality: SYNOP data are first subjected to an automatic quality control where we check for missing values and if the values are within certain physical limits. This automatic QC is followed by a manual QC performed by RMI staff members. Different instruments are calibrated by RMI in its calibration laboratory. The TEMPERATURE sensors are calibrated by comparing the pt100 sensor of the station with the pt25 reference sensor of the calibration lab (which are calibrated by the national metrology lab). They are compared in a thermostatic bath which contains an “azeotropic mixture of propyleenglycol and water” (50-50%). This allows the same bath and mixture to be used for the entire temperature range (-25°C to 35°C). The calibration is performed at 6 fixed temperatures: -25°C, -10°C, 0°C, 10°C, 20°C and 35°C. The calibration of the PRESSURE sensors is performed using a balance system with two pumps (for under and over pressure) and three reference sensors: a recent one (rpm4) and two older ones (paroscientific) in an automated way with 3 up and down cycles within the pressure range 810-1050hPa, with a calibration every 30hPa. The calibration of the HUMIDITY sensors is performed in a climate closet (Weiss) by varying the temperature and relative humidity and by using a chilled mirror sensor.

https://publish.geo.be:/geonetwork/records/d613ce0d-484e-11f1-9584-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-06-11
modified: 2026-06-11

Hillshade DSM 1m
type: Dataset
abstract: An hillshade is a homogeneous and regular points grid, indicating the grey tone deriving from their orientation relative to the chosen fictitious light source. The Hillshade DSM 1m is a representation of the hillshading of the DSM 1m.
keyword: hillshade, altitude, digital surface model
theme: Elevation
theme: Federal viewer
theme: Geology and physical relief
theme: Environment
theme: Elevation Grid Coverage
theme: federal government
theme: relief (land)
theme: altitude
theme: National
theme: elevation
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2024-01-17
updated: 2024-01-17
publisher: National Geographic Institute
accrual periodicity: asNeeded
language: eng
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: View service - Hillshade DSM 1m
data quality: The product Hillshade DSM 1m is a slope shading view of the digital surface model at 1m resolution (DSM 1m). The source data used to produce this DSM 1m are the DSM at a 1m-resolution from the regions: data from Digitaal Vlaanderen (former AIV and former AGIV) for the Flemish Region, data from the SPW for the Walloon Region and data from Paradigm for the Region of Brussels-Capital. These regional DSM are derived from the clouds of points obtained during the LiDAR campaign (flight of 9 October 2021 for Brussels, from 19 February 2021 to 5 March 2022 for Wallonia and from 20 February 2013 to 20 April 2015 for Flanders). In order to create this representation, we have used the following parameters: - Azimut: 315° (angle of the fictitious light source relative to the north) - Angle: 45° (angle of the fictitious light source above the horizon) The hillshade view allows to create a graphic effect on the map which gives an idea of the relief on the terrain. LiDAR data coming from regions do not stop at borders, the coverage of the data extends beyond the limits of Belgium and offers a buffer of variable size all around Belgium.

Download Service (WFS) for Synoptic observations
abstract: Download Service (WFS) for Synoptic observations
keyword: WFS 1.0.0
keyword: WFS 1.1.0
keyword: WFS 2.0.0
keyword: Reporting INSPIRE
keyword: federal government
theme: infoFeatureAccessService
theme: National
publisher: Royal Meteorological Institute of Belgium
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
distribution: OGC:WFS-1.0.0-http-get-capabilities-

bmdc.be:dataset:3145
type: CatalogRecord
primary topic: bmdc.be:dataset:3145
conforms to: 32557.html
issued: 2026-06-18
modified: 2026-06-18

HPLC pigment identification
type: Dataset
abstract: UNDER EMBARGO - This dataset is part of BE/2023 sampling campagn in SW Greenland fjords (Igaliku and Tunulliarfik). The dataset reports the final concentrations (μg L⁻¹) of each detected photosynthetic pigment, used to infer phytoplankton functional groups and compare community composition across fjords with differing glacial influence and between seasons (spring–summer). For pigment analysis, seawater volumes ranging from 700 mL to 1 L were filtered onto 25-mm diameter Whatman GF/F filters and immediately stored at -80°C until further analysis. Pigments were extracted using 90% acetone and analysed by High-Performance Liquid Chromatography (HPLC) following the method of Van Heukelem and Thomas (2001). Calibration was performed using pigment standards from DHI Water and Environment (Hørsholm, Denmark). In the dataset is indicated the final consentration (μg/L) of each detected photosyntetic pigment.
keyword: nanopore
keyword: fjord
keyword: Reporting INSPIRE
keyword: Federal government
keyword: Greenland
theme: phytoplankton
theme: chlorophyll
theme: marine environment
theme: high performance liquid chromatography (HPLC)
theme: oceans
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-46.58078 60.57022, -46.58078 61.15508, -45.36212 61.15508, -45.36212 60.57022, -46.58078 60.57022))
temporal: 2023-07-17 / 2023-07-31
issued: 2026-06-16
updated: 2026-06-16
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
publisher: Laboratorium voor Protistologie en Aquatische Ecologie, Departement Biologie (UGent)
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: This dataset present results after the calculation adeguated for volume filtered and volume extraction.

https://publish.geo.be:/geonetwork/records/80a64edd-841f-11f0-8409-00be433d8c24
type: CatalogRecord
conforms to: 32557.html
issued: 2026-06-10
modified: 2026-06-10

Historical orthophotos 2010s (WMS)
abstract: This service allows the visualization of historical orthophoto mosaics based on available aerial photographs covering parts of the Belgian territory. The data is accessible via a Web Map Service (WMS). Orthophotos are aerial photographs that have been geometrically corrected (orthorectified) to eliminate distortions caused by terrain relief, lens distortion, and camera tilt. Unlike raw aerial imagery, orthophotos have a uniform scale and accurate geometry, making them suitable for cartography, measurements, and visual analysis. This specific service includes historical orthophotos from 2010, 2011, 2012, 2013, 2014 and 2015, derived from aerial surveys carried out by the National Geographic Institute (NGI) and the Regions. During this period, both analogue and digital aerial photographs are available. The analogue images were scanned at high resolution and, like the digital ones, orthorectified. The resulting orthophotos were assembled into mosaics and georeferenced in the Lambert 2008 coordinate system. All orthophotos are in colour (RGB). The ground resolution (GSD) varies between 10 cm and 50 cm, depending on the sensor used and the surveyed area. The spatial coverage of this service is limited to the areas for which aerial photographs were available during the mentioned period. The service has been cached using the WebMercator TileMatrixSet, with a maximum scale denominator of 4,265.459167699568 metres (scale level 17).
keyword: historical orthophotos, aerial photographs, 2010, 2011, 2012, 2013, 2014, 2015, RGB, 10 cm resolution, 25 cm resolution, 50 cm resolution
theme: infoMapAccessService
theme: Federal viewer
theme: Aerial photographs and orthophotographs
theme: Environment
theme: Orthoimagery
theme: federal government
theme: aerial photograph
theme: National
issued: 2009-12-31
publisher: National Geographic Institute
accrual periodicity: asNeeded
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: OGC:WMS-
distribution: OGC:WMTS-
relation: TO COMPLETE
relation: undefined

Download Service (WCS) for Alaro over Belgium
abstract: Download Service (WCS) for Alaro over Belgium. All the parameters of the last run of Alaro can be downloaded in grid format
keyword: WCS 1.1.0
keyword: WCS 1.1.1
keyword: WCS 1.0.0
keyword: WCS 2.0.1
keyword: Reporting INSPIRE
keyword: federal government
theme: infoFeatureAccessService
theme: National
publisher: Royal Meteorological Institute of Belgium
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
distribution: OGC:WCS-1.1.0-http-get-capabilities-

infoFeatureAccessService
type: Concept
in scheme: INSPIRE Service taxonomy

Atmospheric conditions
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

Meteorological geographical features
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

WWW:LINK-1.0-http--link-
type: Distribution
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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View service - Hillshade DSM 1m
type: Distribution
access URL: https://wms.ngi.be/hillshade_dsm1m/service
format: WWW:LINK-1.0-http--link

OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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media type: OGC:WCS-1.1.0-http-get-capabilities

Royal Meteorological Institute of Belgium
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Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
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Laboratorium voor Protistologie en Aquatische Ecologie, Departement Biologie (UGent)
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Royal Belgian Institute of Natural Sciences (RBINS)
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Floor Van Damme
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Charlotte Gilon
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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media type: OGC:WFS-1.0.0-http-get-capabilities
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Digital Object Identifier (DOI)
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format: DOI
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synop:synop
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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format: WWW:DOWNLOAD-1.0-ftp--download

Documentation
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View service - Hillshade DSM 1m
type: Distribution
access URL: https://wms.ngi.be/hillshade_dsm1m/service
format: WWW:LINK-1.0-http--link

OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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format: WWW:DOWNLOAD-1.0-ftp--download

Documentation
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format: WWW:LINK-1.0-http--link

View service - Hillshade DSM 1m
type: Distribution
access URL: https://wms.ngi.be/hillshade_dsm1m/service
format: WWW:LINK-1.0-http--link

OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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View service - Hillshade DSM 1m
type: Distribution
access URL: https://wms.ngi.be/hillshade_dsm1m/service
format: WWW:LINK-1.0-http--link

OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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View service - Hillshade DSM 1m
type: Distribution
access URL: https://wms.ngi.be/hillshade_dsm1m/service
format: WWW:LINK-1.0-http--link

OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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format: WWW:LINK-1.0-http--link

View service - Hillshade DSM 1m
type: Distribution
access URL: https://wms.ngi.be/hillshade_dsm1m/service
format: WWW:LINK-1.0-http--link

OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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View service - Hillshade DSM 1m
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OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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View service - Hillshade DSM 1m
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OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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synop:synop
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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View service - Hillshade DSM 1m
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OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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WWW:LINK-1.0-http--link-
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OGC:WFS-1.0.0-http-get-capabilities-
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Digital Object Identifier (DOI)
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WWW:DOWNLOAD-1.0-ftp--download-
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Documentation
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View service - Hillshade DSM 1m
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OGC:WMS-
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OGC:WMTS-
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OGC:WCS-1.1.0-http-get-capabilities-
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