Bioclis - Aggregated Increased Health Risk Index (ARI)

EOC Land Feature ServiceThis Web Feature Service provides access to land feature products within the Earth Observation Center (EOC).DLREOCDSDALandLand CoverWFS2.0.0NONENONEEarth Observation Center (EOC), DLRGeoservice ManagerGeospatial Service ManagerWeßlingBavaria82234Germanygeoservice@dlr.de1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/flatgeobufapplication/geo+jsonapplication/geo+jsonapplication/geopackage+sqlite3application/jsonapplication/ld+jsonapplication/stac+jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlapplication/vnd.ogc.fg+jsonapplication/x-gpkgcsvgeopackagegeopkggml3gml32gpkgjsontext/csvtext/htmltext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionALLSOMEresultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/flatgeobufapplication/geo+jsonapplication/geo+jsonapplication/geopackage+sqlite3application/jsonapplication/ld+jsonapplication/stac+jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlapplication/vnd.ogc.fg+jsonapplication/x-gpkgcsvgeopackagegeopkggml3gml32gpkgjsontext/csvtext/htmltext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalapplication/gml+xml; version=3.2ALLSOMETRUETRUETRUETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQueryland:BIOCLIS_ARI_DE_P1DBioclis - Aggregated Increased Health Risk Index (ARI)Beschreibt das erhöhte Gesundheitsrisiko durch Luftschadstoffefeaturesari_viewurn:ogc:def:crs:EPSG::43265.866312994124358 47.2701114105480215.041914156675006 55.05884836691795land:BIOCLIS_O3_DE_P1DBioclis - Ozon (O3)Ozon (O3) - Konzentration in microgram/m³featureso3_viewurn:ogc:def:crs:EPSG::43265.866312994124358 47.2701114105480215.041914156675006 55.05884836691795land:BIOCLIS_PM10_DE_P1DBioclis - PM10Feinstaub mit Partikeldurchmesser <10µmfeaturespm10_viewurn:ogc:def:crs:EPSG::43265.866312994124358 47.2701114105480215.041914156675006 55.05884836691795land:BIOCLIS_PM25_DE_P1DBioclis - PM2.5Feinstaub mit Partikeldurchmesser <2.5µmfeaturespm25_viewurn:ogc:def:crs:EPSG::43265.866312994124358 47.2701114105480215.041914156675006 55.05884836691795land:BIOCLIS_SO2_DE_P1DBioclis - Schwefeldioxid (SO2)Der Datensatz beschreibt die Schwefeldioxid (SO2) Konzentration in microgram/m3.featuresso2_viewurn:ogc:def:crs:EPSG::43265.866312994124358 47.2701114105480215.041914156675006 55.05884836691795land:BIOCLIS_NO2_DE_P1DBioclis - Stickstoff-Dioxid (NO2)Stickstoff-Dioxid (NO2) - Konzentration in microgram/m³featuresno2_viewurn:ogc:def:crs:EPSG::43265.866312994124358 47.2701114105480215.041914156675006 55.05884836691795land:BIOCLIS_UTCI_DE_P1DBioclis - Universal Thermal Climate Index (UTCI)Beschreibt thermischen Stress auf den menschlichen Körper abhängig von den Ubgebungsbedingungen.featuresutci_viewurn:ogc:def:crs:EPSG::43265.866312994124358 47.2701114105480215.041914156675006 55.05884836691795land:FCCL_DE_P1M_KRSFCCL at Administrative Level, DistrictThe layer shows FCCL results aggregated at district level. FCCL is quantified separately for deciduous, coniferous, and unclassified forests and the total of all forest types for each month as well as aggregated to annual totals.DLREOCForestDisturbanceGermanyMultispectralSentinel-2LandsatCanopy Cover Lossurn:ogc:def:crs:EPSG::30355.473023880259562 47.1712462167909615.490107590788723 55.06781130732295land:FCCL_DE_P1M_LANFCCL at Administrative Level, Federal StateThe layer shows FCCL results aggregated at federal state level. FCCL is quantified separately for deciduous, coniferous, and unclassified forests and the total of all forest types for each month as well as aggregated to annual totals.DLREOCForestDisturbanceGermanyMultispectralSentinel-2LandsatCanopy Cover Lossurn:ogc:def:crs:EPSG::30355.473023880259562 47.1712462167909615.490107590788723 55.06781130732295land:FCCL_DE_P1M_GEMFCCL at Administrative Level, MunicipalityThe layer shows FCCL results aggregated at municipality level. FCCL is quantified separately for deciduous, coniferous, and unclassified forests and the total of all forest types for each month as well as aggregated to annual totals.DLREOCForestDisturbanceGermanyMultispectralSentinel-2LandsatCanopy Cover Lossurn:ogc:def:crs:EPSG::30355.473023880259562 47.1712462167909615.490107590788723 55.06781130732295land:FCCL_DE_P1M_VECFCCL at Pixel LevelThis layer shows forest canopy cover losses in Germany caused by abiotoc (e.g. storm, fire, hail) and biotoc (e.g. insect infestation, funghi) as well as anthropogenic (e.g. planned harvest, salvage logging, sanitary cuts) drivers at 10 m spatial resolution and at monthly intervals.DLREOCForestDisturbanceGermanyMultispectralSentinel-2LandsatCanopy Cover Lossurn:ogc:def:crs:EPSG::30355.489923112833678 47.18327644061679415.48276975743808 55.02323029301928land:FOREST_AREAS_DISTRICTS_PRY_P1YForest Cover Paraguay per District 1986-2020The products shows forest areas in Paraguay per district in ha.DLREOCGeoForPyForestForest CoverDeforestationParaguayLandsat-8Sentinel-2Time Seriesurn:ogc:def:crs:EPSG::32721-62.77549224812465 -25.355697730553207-57.144044187409015 -19.21749378646427land:FOREST_FRAGMENTATION_PRY_2000Forest Fragmentation 2000The product depicts the forest fragmentation in Paraguay for 2020.DLREOCGeoForPyForestForest CoverDeforestationParaguayLandsat-8Sentinel-2Time Seriesurn:ogc:def:crs:EPSG::32721-62.76916529806209 -25.277930644861694-57.15577620878149 -19.217622759873596land:FOREST_FRAGMENTATION_PRY_2010Forest Fragmentation 2010The product depicts the forest fragmentation in Paraguay.DLREOCGeoForPyForestForest CoverDeforestationParaguayLandsat-8Sentinel-2Time Seriesurn:ogc:def:crs:EPSG::32721-62.76709203223988 -25.277930644861694-57.15577620878149 -19.21768295412251land:FOREST_FRAGMENTATION_PRY_2020Forest Fragmentation 2020The product depicts the forest fragmentation in Paraguay.DLREOCGeoForPyForestForest CoverDeforestationParaguayLandsat-8Sentinel-2Time Seriesurn:ogc:def:crs:EPSG::32721-62.765056906550214 -25.27874076436783-57.15806063058204 -19.21774312697062land:HEDGEROWS_BY_2019_2021Hedgerows in Bavaria, 2019-2021The layer shows vectors of hedgerow objects in Bavaria.featureshedgerows_by_2019_2021urn:ogc:def:crs:EPSG::258328.97865598095515 47.18276347850914514.013990278949569 50.560294131955594land:ICELINES_S1_P1MIceLines - Sentinel-1 - MonthlyIceLines Monthly is an automated calving front monitoring service providing monthly ice shelf front time series of major Antarctic ice shelves.IceLinesglacierAntarticacalving frontice shelf front time seriesSentinel-1monthlyurn:ogc:def:crs:EPSG::3031-180.0 -90.0180.0 -58.059795502013344land:ICELINES_S1_P1YIceLines - Sentinel-1 - YearlyIceLines Yearly is an automated calving front monitoring service providing yearly ice shelf front time series of major Antarctic ice shelves.IceLinesglacierAntarticacalving frontice shelf front time seriesSentinel-1yearlyurn:ogc:def:crs:EPSG::3031-180.0 -90.0180.0 -58.073163049930464land:ICELINES_SHELFNAMESIceLines - ShelfnamesThe layer depicts the names of each ice shelf.IceLinesglacierAntarticacalving frontice shelf front time seriesSentinel-1shelfnamesurn:ogc:def:crs:EPSG::3031-180.0 -90.0180.0 -59.06630873498738land:PROTECTED_AREAS_FOREST_PRYProtected Areas in the Paraguayan ChacoThe products shows protected areas in Paraguay, which receive protection because of their natural values.DLREOCGeoForPyForestForest CoverDeforestationParaguayLandsat-8Sentinel-2Time Seriesurn:ogc:def:crs:EPSG::32721-62.41493205390733 -24.50414965619315-58.083427865546525 -19.226626466584403land:TREE_CANOPY_COVER_LOSS_PERC_ALLFOREST_P1YTree Canopy Cover Loss All Forest (%) Germany 2018-2021 per districtThis is a vector data set showing per-district statistics of all forests tree canopy cover loss in % in Germany between January 2018 and April 2021 on annual basis and as sum of all years. Statistics are available for coniferous and deciduous forests as well as across both forest types.ForestCanopy Cover LossDroughtLandsat-8Disturbance IndexTime SeriesSentinel-2Deutschlandurn:ogc:def:crs:EPSG::30355.473270757377095 47.17124545467813615.489810232562935 55.06562940966963land:TREE_CANOPY_COVER_LOSS_HA_ALLFOREST_P1YTree Canopy Cover Loss All Forest (ha) Germany 2018-2021 per districtThis is a vector data set showing per-district statistics of all forests tree canopy cover loss in ha in Germany between January 2018 and April 2021 on annual basis and as sum of all years. Statistics are available for coniferous and deciduous forests as well as across both forest types.ForestCanopy Cover LossDroughtLandsat-8Disturbance IndexTime SeriesSentinel-2Deutschlandurn:ogc:def:crs:EPSG::30355.473270757377095 47.17124545467813615.489810232562935 55.06562940966963land:TREE_CANOPY_COVER_LOSS_PERC_CONIFEROUS_P1YTree Canopy Cover Loss Coniferous (%) Germany 2018-2021 per districtThis is a vector data set showing per-district statistics of coniferous tree canopy cover loss in % in Germany between January 2018 and April 2021 on annual basis and as sum of all years. Statistics are available for coniferous and deciduous forests as well as across both forest types.ForestCanopy Cover LossDroughtLandsat-8Disturbance IndexTime SeriesSentinel-2Deutschlandconiferousurn:ogc:def:crs:EPSG::30355.473270757377095 47.17124545467813615.489810232562935 55.06562940966963land:TREE_CANOPY_COVER_LOSS_HA_CONIFEROUS_P1YTree Canopy Cover Loss Coniferous (ha) Germany 2018-2021 per districtThis is a vector data set showing per-district statistics of coniferous tree canopy cover loss in ha in Germany between January 2018 and April 2021 on annual basis and as sum of all years. Statistics are available for coniferous and deciduous forests as well as across both forest types.ForestCanopy Cover LossDroughtLandsat-8Disturbance IndexTime SeriesSentinel-2Deutschlandconiferousurn:ogc:def:crs:EPSG::30355.473270757377095 47.17124545467813615.489810232562935 55.06562940966963land:TREE_CANOPY_COVER_LOSS_PERC_DECIDUOUS_P1YTree Canopy Cover Loss Deciduous (%) Germany 2018-2021 per districtThis is a vector data set showing per-district statistics of deciduous tree canopy cover loss in % in Germany between January 2018 and April 2021 on annual basis and as sum of all years. Statistics are available for coniferous and deciduous forests as well as across both forest types.ForestCanopy Cover LossDroughtLandsat-8Disturbance IndexTime SeriesSentinel-2Deutschlandhectarlossdeciduousurn:ogc:def:crs:EPSG::30355.473270757377095 47.17124545467813615.489810232562935 55.06562940966963land:TREE_CANOPY_COVER_LOSS_HA_DECIDUOUS_P1YTree Canopy Cover Loss Deciduous (ha) Germany 2018-2021 per districtThis is a vector data set showing per-district statistics of deciduous tree canopy cover loss in ha in Germany between January 2018 and April 2021 on annual basis and as sum of all years. Statistics are available for coniferous and deciduous forests as well as across both forest types.ForestCanopy Cover LossDroughtLandsat-8Disturbance IndexTime SeriesSentinel-2Deutschlandhectarlossdeciduousurn:ogc:def:crs:EPSG::30355.473270757377095 47.17124545467813615.489810232562935 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