INSPIRE Downloaddienst (WCS) Databank Ondergrond VlaanderenINSPIRE compliant downloaddienst (WCS) voor de rasterkaartlagen m.b.t. bodem en ondergrond in Vlaanderen.WCSWMSGEOSERVERurn:ogc:service:wcs2.0.11.1.11.1.0http://www.opengis.net/spec/WCS/2.0/conf/corehttp://www.opengis.net/spec/WCS_protocol-binding_get-kvp/1.0.1http://www.opengis.net/spec/WCS_protocol-binding_post-xml/1.0http://www.opengis.net/spec/WCS_service-extension_crs/1.0/conf/crs-gridded-coverage http://www.opengis.net/spec/WCS_geotiff-coverages/1.0/conf/geotiff-coveragehttp://www.opengis.net/spec/GMLCOV/1.0/conf/gml-coveragehttp://www.opengis.net/spec/GMLCOV/1.0/conf/special-formathttp://www.opengis.net/spec/GMLCOV/1.0/conf/multiparthttp://www.opengis.net/spec/WCS_service-extension_scaling/1.0/conf/scalinghttp://www.opengis.net/spec/WCS_service-extension_crs/1.0/conf/crshttp://www.opengis.net/spec/WCS_service-extension_interpolation/1.0/conf/interpolationhttp://www.opengis.net/spec/WCS_service-extension_interpolation/1.0/conf/interpolation-per-axishttp://www.opengis.net/spec/WCS_service-extension_interpolation/1.0/conf/nearest-neighborhttp://www.opengis.net/spec/WCS_service-extension_interpolation/1.0/conf/linearhttp://www.opengis.net/spec/WCS_service-extension_interpolation/1.0/conf/cubichttp://www.opengis.net/spec/WCS_service-extension_range-subsetting/1.0/conf/record-subsettingNONENONEVlaamse Overheid - Databank Ondergrond Vlaanderen (DOV)ir. Marleen Van DammeDOV-coördinatorTechnologiepark 68ZwijnaardeOost-Vlaanderen9052Belgiummeldpunt@dov.vlaanderen.beXMLapplication/gml+xmlapplication/x-gzipimage/jpegimage/pngimage/tiffimage/tiff;application=geotifftext/plainhttp://www.opengis.net/def/crs/EPSG/0/31370http://www.opengis.net/def/crs/EPSG/0/4258http://www.opengis.net/def/crs/EPSG/0/4326http://www.opengis.net/def/crs/EPSG/0/3812http://www.opengis.net/def/crs/EPSG/0/3043http://www.opengis.net/def/crs/EPSG/0/25831http://www.opengis.net/def/crs/EPSG/0/32631http://www.opengis.net/def/crs/EPSG/0/900913http://www.opengis.net/def/crs/EPSG/0/3857http://www.opengis.net/def/interpolation/OGC/1/nearest-neighborhttp://www.opengis.net/def/interpolation/OGC/1/linearhttp://www.opengis.net/def/interpolation/OGC/1/cubicGemodelleerde voorraden van organische koolstof in de 0-100 cm bodemlaag - fout op het gemiddeldeDeze 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..BodemondergrondbodemkoolstofvoorraadRegionaalHerbruikbaarKosteloosVlaamse Open dataToegevoegd GDI-VlMetadata GDI-Vl-conformMetadata INSPIRE-conformDOVVlaanderenOndergrondDatabank Ondergrond VlaanderenDepartement OmgevingDOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:040#organische_koolstof__OCst_se_0-100cmRectifiedGridCoverage22000.0 151440.0259000.0 245000.02.5254288236725806 50.6735631533323745.938563488443327 51.51446978895126Gemodelleerde voorraden van organische koolstof in de 0-100 cm bodemlaag - gemiddeldeDeze 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..BodemondergrondbodemkoolstofvoorraadRegionaalHerbruikbaarKosteloosVlaamse Open dataToegevoegd GDI-VlMetadata GDI-Vl-conformMetadata INSPIRE-conformDOVVlaanderenOndergrondDatabank Ondergrond VlaanderenDepartement OmgevingDOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:030#DOV_EXPERTISE@Bodemorganische_koolstof__OCst_mean_0-100cmRectifiedGridCoverage22000.0 151440.0259000.0 245000.02.5254288236725806 50.6735631533323745.938563488443327 51.51446978895126Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)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.Bodemondergrondlandbouwkoolstoftotaal aan organische koolstofgraslandakkerbosbosRegionaalHerbruikbaarKosteloosVlaamse Open dataToegevoegd GDI-VlMetadata GDI-Vl-conformMetadata INSPIRE-conformLijst M&R INSPIREDOVVlaanderenOndergrondDatabank Ondergrond VlaanderenDepartement OmgevingAardobservatie en milieuBodemHVDorganische_koolstof__carbon_1000RectifiedGridCoverage2.53862 49.485266.40387 51.505442.53862 49.485266.40387 51.50544Soil Organic Carbon Stock Maps for Belgium: mean (40 m grid)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.Bodemondergrondlandbouwkoolstoftotaal aan organische koolstofgraslandakkerbosbosRegionaalHerbruikbaarKosteloosVlaamse Open dataToegevoegd GDI-VlMetadata GDI-Vl-conformMetadata INSPIRE-conformLijst M&R INSPIREDOVVlaanderenOndergrondDatabank Ondergrond VlaanderenDepartement OmgevingAardobservatie en milieuBodemHVDDOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:010#DOV_EXPERTISE@Bodemorganische_koolstof__carbon_40RectifiedGridCoverage21971.0 21146.0295171.0 245026.02.523964636359352 49.484285329762146.458202921273839 51.51446381540252Soil Organic Carbon Stock Maps for Belgium: standard deviation (1 km grid)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.Bodemondergrondlandbouwkoolstoftotaal aan organische koolstofgraslandakkerbosbosRegionaalHerbruikbaarKosteloosVlaamse Open dataToegevoegd GDI-VlMetadata GDI-Vl-conformMetadata INSPIRE-conformLijst M&R INSPIREDOVVlaanderenOndergrondDatabank Ondergrond VlaanderenDepartement OmgevingAardobservatie en milieuBodemHVDorganische_koolstof__carbon_sd_1000RectifiedGridCoverage2.5469470020000244 49.485244608352786.403870021900024 51.513770287252782.5469470020000244 49.485244608352786.403870021900024 51.51377028725278Soil Organic Carbon Stock Maps for Belgium: standard deviation (40 m grid)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.Bodemondergrondlandbouwkoolstoftotaal aan organische koolstofgraslandakkerbosRegionaalHerbruikbaarKosteloosVlaamse Open dataToegevoegd GDI-VlMetadata GDI-Vl-conformMetadata INSPIRE-conformLijst M&R INSPIREDOVVlaanderenOndergrondDatabank Ondergrond VlaanderenDepartement OmgevingAardobservatie en milieuBodemHVDDOV_PATHNAME@001#DOV:010#Bodem:030#Organische koolstof:020#DOV_EXPERTISE@Bodemorganische_koolstof__carbon_sd_40RectifiedGridCoverage21971.0 21146.0295171.0 245026.02.4846222535102074 48.492913047275946.497545304122984 52.50583609788872