WMS INSPIRE compliant Raadpleegdienst voor de kaartlagen m.b.t. bodem en ondergrond in Vlaanderen. WFS WMS GEOSERVER ir. Marleen Van Damme Vlaamse Overheid - Databank Ondergrond Vlaanderen (DOV) DOV-coördinator

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Zwijnaarde Oost-Vlaanderen 9052 Belgium meldpunt@dov.vlaanderen.be NONE NONE text/xml image/png application/atom+xml application/json;type=geojson application/json;type=topojson application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz application/vnd.mapbox-vector-tile image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON https://www.dov.vlaanderen.be/geonetwork/srv/dut/csw?Service=CSW&Request=GetRecordById&Version=2.0.2&outputSchema=http://www.isotc211.org/2005/gmd&elementSetName=full&id=eab36660-76ec-11e0-994d-0002a5d5c51b application/vnd.ogc.csw.GetRecordByIdResponse_xml dut dut INSPIRE compliant Raadpleegdienst voor de kaartlagen m.b.t. bodem en ondergrond in Vlaanderen. EPSG:31370 EPSG:4258 EPSG:4326 EPSG:3812 EPSG:3043 EPSG:25831 EPSG:32631 EPSG:900913 EPSG:3857 EPSG:3035 CRS:84 2.4846222535102074 6.497545304122984 48.49291304727594 52.50583609788872 carbon_1000 The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a finer resolution (10m x 10m and 40m x 40m grid cells). Next they were joined (40m x 40m grid cells) and finally scaled up to the required 1 by 1 km grid cells. This was done using the following tools: block statistics (mean), mosaic to new raster (mean), project to raster, block statistics (mean), resample (nearest neighbour) and project raster. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The SOC stock maps are the first comprehensive map for Belgium integrating grasslands, croplands and forests. There are two versions of the SOC stock maps for Belgium: 1) resolution of 40m x 40m in the coordinate reference system Lambert72 and 2) resolution of 1km x 1km in the coordinate reference system WGS84. The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps. Bodem ondergrond landbouw koolstof totaal aan organische koolstof grasland akker bos bos Regionaal Herbruikbaar Kosteloos Vlaamse Open data Toegevoegd GDI-Vl Metadata GDI-Vl-conform Metadata INSPIRE-conform Lijst M&R INSPIRE DOV Vlaanderen Ondergrond Databank Ondergrond Vlaanderen Departement Omgeving Aardobservatie en milieu Bodem HVD EPSG:4326 CRS:84 2.53862 6.40387 49.48526 51.50544 80b78280-2182-4031-ad24-2b717f110ef5 text/html text/xml carbon_40 The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) at the resolution of 40m x 40m was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a fine resolution (10m x 10m grid cells for Flanders and 40m x 40m grid cells for Wallonia). Next they were joined (40m x 40m grid cells). The regional maps for Flanders were scaled up tot the 40m x 40m grid of Wallonia. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps. The SOC stock map (resolution of 40m x 40m) is the first comprehensive map for Belgium integrating grasslands, croplands and forests. Based on this map another SOC stock map at a resolution of 1km x 1km in the coordinate reference system WGS84 was created. Bodem ondergrond landbouw koolstof totaal aan organische koolstof grasland akker bos bos Regionaal Herbruikbaar Kosteloos Vlaamse Open data Toegevoegd GDI-Vl Metadata GDI-Vl-conform Metadata INSPIRE-conform Lijst M&R INSPIRE DOV Vlaanderen Ondergrond Databank Ondergrond Vlaanderen Departement Omgeving Aardobservatie en milieu Bodem HVD DOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:010# DOV_EXPERTISE@Bodem EPSG:31370 CRS:84 2.523964636359352 6.458202921273839 49.48428532976214 51.51446381540252 127c3b51-d606-47f8-8c35-df7301b35ca2 text/html text/xml carbon_sd_1000 The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a finer resolution (10m x 10m and 40m x 40m grid cells). Next they were joined (40m x 40m grid cells) and finally scaled up to the required 1 by 1 km grid cells. This was done using the following tools: block statistics (mean), mosaic to new raster (mean), project to raster, block statistics (mean), resample (nearest neighbour) and project raster. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The SOC stock maps are the first comprehensive map for Belgium integrating grasslands, croplands and forests. There are two versions of the SOC stock maps for Belgium: 1) resolution of 40m x 40m in the coordinate reference system Lambert72 and 2) resolution of 1km x 1km in the coordinate reference system WGS84. The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps. Bodem ondergrond landbouw koolstof totaal aan organische koolstof grasland akker bos bos Regionaal Herbruikbaar Kosteloos Vlaamse Open data Toegevoegd GDI-Vl Metadata GDI-Vl-conform Metadata INSPIRE-conform Lijst M&R INSPIRE DOV Vlaanderen Ondergrond Databank Ondergrond Vlaanderen Departement Omgeving Aardobservatie en milieu Bodem HVD EPSG:4326 CRS:84 2.5469470020000244 6.403870021900024 49.48524460835278 51.51377028725278 c7970c8d-3eaa-42e4-8373-dbdf44f28d34 text/html text/xml carbon_sd_40 The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) at the resolution of 40m x 40m was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a fine resolution (10m x 10m grid cells for Flanders and 40m x 40m grid cells for Wallonia). Next they were joined (40m x 40m grid cells). The regional maps for Flanders were scaled up tot the 40m x 40m grid of Wallonia. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps. The SOC stock map (resolution of 40m x 40m) is the first comprehensive map for Belgium integrating grasslands, croplands and forests. Based on this map another SOC stock map at a resolution of 1km x 1km in the coordinate reference system WGS84 was created. Bodem ondergrond landbouw koolstof totaal aan organische koolstof grasland akker bos Regionaal Herbruikbaar Kosteloos Vlaamse Open data Toegevoegd GDI-Vl Metadata GDI-Vl-conform Metadata INSPIRE-conform Lijst M&R INSPIRE DOV Vlaanderen Ondergrond Databank Ondergrond Vlaanderen Departement Omgeving Aardobservatie en milieu Bodem HVD DOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:020# DOV_EXPERTISE@Bodem EPSG:31370 CRS:84 2.4846222535102074 6.497545304122984 48.49291304727594 52.50583609788872 62667b12-ae06-4c3a-b744-debc4331d398 text/html text/xml OCst_mean_0-100cm Deze dataset is een voor Vlaanderen gebiedsdekkend raster (resolutie 10 x 10 m) samengesteld uit de gemodelleerde waarden voor organische C voorraden tot op 100 cm diepte. De bijhorende error of the mean is beschikbaar in de laag 'Gemodelleerde voorraden van organische koolstof in de 0-100 cm bodemlaag - fout op het gemiddelde'. Deze data werden berekend doormiddel van digital soil mapping op basis van puntobservaties en gebiedsdekkende predictorlagen. De puntobservaties waren afkomstig van 626 Cmon-plots van het Vlaams bodemkoolstofmonitoringnetwerk Cmon. Deze plots werden gerapporteerd in het derde Cmon-jaarrapport en bevatten data van alle landgebruiksklassen in Vlaanderen (akker, blijvend grasland, natuur, bos en ruimtebeslag). Jaarlijks worden bijkomende Cmon-plots gerapporteerd. Daarom zal deze gemodelleerde kaartlaag ook jaarlijks geupdate worden.. Bodem ondergrond bodem koolstofvoorraad Regionaal Herbruikbaar Kosteloos Vlaamse Open data Toegevoegd GDI-Vl Metadata GDI-Vl-conform Metadata INSPIRE-conform DOV Vlaanderen Ondergrond Databank Ondergrond Vlaanderen Departement Omgeving DOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:030# DOV_EXPERTISE@Bodem EPSG:31370 CRS:84 2.5254288236725806 5.938563488443327 50.673563153332374 51.51446978895126 fb1d424a-471f-451f-8ee9-1a3787bb8a7c text/html text/xml OCst_se_0-100cm Deze dataset is een voor Vlaanderen gebiedsdekkend raster (resolutie 10 x 10 m) samengesteld uit de fout op het gemiddelde van de gemodelleerde waarden voor organische C voorraden tot op 100 cm diepte. De laag 'Gemodelleerde voorraden van organische koolstof in de 0-100 cm bodemlaag - gemiddelde' bevat de waarden voor het gemiddelde zelf. Deze data werden berekend doormiddel van digital soil mapping op basis van puntobservaties en gebiedsdekkende predictorlagen. De puntobservaties waren afkomstig van 626 Cmon-plots van het Vlaams bodemkoolstofmonitoringnetwerk Cmon. Deze plots werden gerapporteerd in het derde Cmon-jaarrapport en bevatten data van alle landgebruiksklassen in Vlaanderen (akker, blijvend grasland, natuur, bos en ruimtebeslag). Jaarlijks worden bijkomende Cmon-plots gerapporteerd. Daarom zal deze gemodelleerde kaartlaag ook jaarlijks geupdate worden.. Bodem ondergrond bodem koolstofvoorraad Regionaal Herbruikbaar Kosteloos Vlaamse Open data Toegevoegd GDI-Vl Metadata GDI-Vl-conform Metadata INSPIRE-conform DOV Vlaanderen Ondergrond Databank Ondergrond Vlaanderen Departement Omgeving DOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:040# EPSG:31370 CRS:84 2.5254288236725806 5.938563488443327 50.673563153332374 51.51446978895126 fdd97b96-8238-4efd-b10d-ec5470b58e9c text/html text/xml