Web Coverage ServiceThis server implements the WCS specification 1.0 and 1.1.1, it's reference implementation of WCS 1.1.1. All layers published by this service are available on WMS also.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-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-subsettingNONENONEFinnish Meteorological Institute National Satellite Data CentreFMI NSDC SupportSupport Teamdata-support@nsdc.fmi.fiXMLapplication/gml+xmlapplication/x-netcdfapplication/x-netcdf4image/jpegimage/pngimage/tiffimage/tiff;application=geotifftext/plainhttp://www.opengis.net/def/crs/EPSG/0/4326http://www.opengis.net/def/crs/EPSG/0/4258http://www.opengis.net/def/crs/EPSG/0/3067http://www.opengis.net/def/crs/EPSG/0/3857http://www.opengis.net/def/crs/EPSG/0/3035http://www.opengis.net/def/crs/EPSG/0/3395http://www.opengis.net/def/interpolation/OGC/1/nearest-neighborhttp://www.opengis.net/def/interpolation/OGC/1/linearhttp://www.opengis.net/def/interpolation/OGC/1/cubicIMAGE2012IMAGE2012 mosaic (false color composite, scaled to 8-bit data for viewing purposes) consists of IRS P6 LISS and RapidEye images, and was made for production of Finnish Corine 2012 Land Cover classification. Its target year is 2012, but consists of images acquired during 7.5.2011-21.9.2013. Spatial resolution is 20 m.image2012_rgb_fcWCSGeoTIFFIMAGE2012PTA__IMAGE2012RectifiedGridCoverage51660.0 6597240.0739720.0 7782000.015.327070821750338 59.2750407691782733.299923986786474 70.13571378385701IMAGE2017IMAGE2017 mosaic (false color composite, scaled to 8-bit data for viewing purposes) consists of Sentinel-2 images, and was made for production of Finnish Corine 2018 Land Cover classification. Its target year is 2017, but consists of images acquired during 2.7.2016-9.9.2017. Spatial resolution of this version is 10 m.image2017_summer_rgb_fcWCSGeoTIFFIMAGE2017PTA__IMAGE2017RectifiedGridCoverage59220.0 6603270.0736000.0 7778100.015.537780619024034 59.3366299006516533.19250872471851 70.10099356754056Landsat mosaic surface reflectance band 1Landsat mosaics from 1985 onward in 5 year intervals. Cloudless mosaics use imagery from +/- 2 years of the target year, with target year free pixels being prioritized. Pixel value is reflectance computed using Dark-object-subtraction method. Pixel size is 30x30 m. Reflectance band nr is 1 - Blue 0.45-0.52 nm. Mosaic processed by Blom Kartta.lsm_sr_b1WCSImageMosaicLandsat mosaicsurface reflectancebluePTA__lsm_sr_b1RectifiedGridCoverage50025.0 6576015.0750015.0 7806105.015.165419324205619 59.0845016145896633.63701854274651 70.34970709258774Landsat mosaic surface reflectance band 2Landsat mosaics from 1985 onward in 5 year intervals. Cloudless mosaics use imagery from +/- 2 years of the target year, with target year free pixels being prioritized. Pixel value is reflectance computed using Dark-object-subtraction method. Pixel size is 30x30 m. Reflectance band nr is 2 - Green 0.52-0.60 nm. Mosaic processed by Blom Kartta.lsm_sr_b2WCSImageMosaicgreensurface reflectanceLandsat mosaicPTA__lsm_sr_b2RectifiedGridCoverage50025.0 6576015.0750015.0 7806105.015.165419324205619 59.0845016145896633.63701854274651 70.34970709258774Landsat mosaic surface reflectance band 3Landsat mosaics from 1985 onward in 5 year intervals. Cloudless mosaics use imagery from +/- 2 years of the target year, with target year free pixels being prioritized. Pixel value is reflectance computed using Dark-object-subtraction method. Pixel size is 30x30 m. Reflectance band nr is 3 - Red 0.63-0.69 nm.lsm_sr_b3WCSImageMosaicLandsat mosaicsurface reflectanceredPTA__lsm_sr_b3RectifiedGridCoverage50025.0 6576015.0750015.0 7806105.015.165419324205619 59.0845016145896633.63701854274651 70.34970709258774Landsat mosaic surface reflectance band 4Landsat mosaics from 1985 onward in 5 year intervals. Cloudless mosaics use imagery from +/- 2 years of the target year, with target year free pixels being prioritized. Pixel value is reflectance computed using Dark-object-subtraction method. Pixel size is 30x30 m. Reflectance band nr is 4 - Near Infrared (NIR) 0.76-0.90 nm. Mosaic processed by Blom Kartta.lsm_sr_b4WCSImageMosaicLandsat mosaicsurface reflectancenear infraredPTA__lsm_sr_b4RectifiedGridCoverage50025.0 6576015.0750015.0 7806105.015.165419324205619 59.0845016145896633.63701854274651 70.34970709258774Landsat mosaic surface reflectance band 5Landsat mosaics from 1985 onward in 5 year intervals. Cloudless mosaics use imagery from +/- 2 years of the target year, with target year free pixels being prioritized. Pixel value is reflectance computed using Dark-object-subtraction method. Pixel size is 30x30 m. Reflectance band nr is 5 - Shortwave infrared 1 (SWIR1) 1.55-1.75 nm. Mosaic processed by Blom Kartta.lsm_sr_b5WCSImageMosaicsurface reflectanceLandsat mosaicPTA__lsm_sr_b5RectifiedGridCoverage50025.0 6576015.0750015.0 7806105.015.165419324205619 59.0845016145896633.63701854274651 70.34970709258774Landsat mosaic surface reflectance band 7Landsat mosaics from 1985 onward in 5 year intervals. Cloudless mosaics use imagery from +/- 2 years of the target year, with target year free pixels being prioritized. Pixel value is reflectance computed using Dark-object-subtraction method. Pixel size is 30x30 m. Reflectance band nr is 7 - Shortwave infrared 2 (SWIR2) 2.08-2.35 nm. Mosaic processed by Blom Kartta.lsm_sr_b7WCSImageMosaicLandsat mosaicsurface reflectanceshortwave infraredPTA__lsm_sr_b7RectifiedGridCoverage50025.0 6576015.0750015.0 7806105.015.165419324205619 59.0845016145896633.63701854274651 70.34970709258774Sentinel 1 mosaic ground range detected VH polarizartion maximum back scatterSentinel 1 mosaics for the GRD product, which is the horizontal polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the maximum of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vh_maxWCSImageMosaicPTA__s1m_grd_vh_maxRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 1 mosaic ground range detected VH polarizartion mean back scatterSentinel 1 mosaics for the GRD product, which is the horizontal polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the average of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vh_meanWCSImageMosaicPTA__s1m_grd_vh_meanRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 1 mosaic ground range detected VH polarizartion minimum back scatterSentinel 1 mosaics for the GRD product, which is the horizontal polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the minimum of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vh_minWCSImageMosaicPTA__s1m_grd_vh_minRectifiedGridCoverage49999.481 6499999.89842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 1 mosaic ground range detected VH polarizartion standard deviationSentinel 1 mosaics for the GRD product, which is the horizontal polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the standard deviation of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vh_stdWCSImageMosaicPTA__s1m_grd_vh_stdRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 1 mosaic ground range detected VV polarizartion maximum back scatterSentinel 1 mosaics for the GRD product, which is the vertical polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the maximum of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vv_maxWCSImageMosaicPTA__s1m_grd_vv_maxRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 1 mosaic ground range detected VV polarizartion mean back scatterSentinel 1 mosaics for the GRD product, which is the vertical polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the average of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vv_meanWCSImageMosaicPTA__s1m_grd_vv_meanRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 1 mosaic ground range detected VV polarizartion minimum back scatterSentinel 1 mosaics for the GRD product, which is the vertical polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the minimum of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vv_minWCSImageMosaicPTA__s1m_grd_vv_minRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 1 mosaic ground range detected VV polarizartion standard deviationSentinel 1 mosaics for the GRD product, which is the vertical polarization ground back scatter of vertical polarization radar pulse. As several measurements have been summed up over 11 days, this is the standard deviation of these measurements. Usually a single pixel is surveyed every 2-3 days over Finland.s1m_grd_vv_stdWCSImageMosaicPTA__s1m_grd_vv_stdRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268Sentinel 2 normalized difference build-up index mosaicMosaic of Sentinel 2 image indexes made for highlighting build-up areas. Build-up areas heavely modified human activity tend to have lot features such as asphalt and concrete that are highly reflective on shortwave infrared (SWIR) and less so on near infrared (NIR) part of electromagnetic spectrum. Equation (SWIR-NIR) / (SWIR+NIR) will give build-up areas positive values and other features values close to zero or negative.s2m_ndbiWCSImageMosaicPTA__s2m_ndbiRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 59.2978305943297836.022095926354645 70.30030649555268Sentinel 2 normalized difference moisture index mosaicMosaic of Sentinel 2 image indexes made for monitoring changes in water content of leaves. This index is derived from the Near-Infrared (NIR) and Short Wave Infrared (SWIR) channels of the satellite instrument. SWIR reflectance is affected by changes in both the vegetation water content and the spongy mesophyll structure in vegetation canopies. NIR reflectance is affected by leaf internal structure and leaf dry matter content but not by water content. Equation NDBI=(NIR-SWIR)/(NIR+SWIR) gives values between -1 and 1 with open water getting close to 1, healthy well-watered vegetation getting values from 0.3 to 0.7, dry vegetation getting low positive values and bare soil getting negative values.s2m_ndmiWCSImageMosaicPTA__s2m_ndmiRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 59.2978305943297836.022095926354645 70.30030649555268Sentinel 2 normalized difference snow index mosaicSentinel 2 normalized difference snow index mosaic Mosaic of Sentinel 2 image indexes made for highlighting snow covered areas and to differentiate snow from clouds. Snow is highly reflective on all visible bands of electromagnetic spectrum, but can easily be mixed with clouds that have similar properties (both look white). Snow however has far lower reflectance on shortwave infrared part of the spectrum and this can be used to differentiate snow and clouds. Equation NDSI=(VIS-SWIR)/(VIS+SWIR) gives values between -1 and 1 with snow getting values between 0.5 and 1 and clouds usually getting positive values close to zero.s2m_ndsiWCSImageMosaicPTA__s2m_ndsiRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 59.2978305943297836.022095926354645 70.30030649555268Sentinel 2 normalized difference tillage index mosaicMosaic of Sentinel 2 image indexes made for detecting crop residue cover and tillage intensity. Based on cellulose absorption feature of dead vegetation and can be used to differentiate between dry bare soil, tilled fields and fields left fallow. Equation NDTI=(SWIR1-SWIR2)/(SWIR1-SWIR2)s2m_ndtiWCSImageMosaicPTA__s2m_ndtiRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 59.2978305943297836.022095926354645 70.30030649555268Sentinel 2 normalized difference vegetation index mosaicMosaic of Sentinel 2 image indexes made for highlighting vegetation covered areas and to monitor the condition of vegetation or vegetation health. Chlorophyll content of vegetation absorb strongly the red wavelength of sunlight and reflect in near-infrared wavelengths. Unhealthy or dry vegetation has much lower chlorophyll content. Equation (SWIR-NIR) / (SWIR+NIR), gives values between -1 and 1 with healty heavy vegetation getting values >0.6, shurbs, grasslands and drying crops getting low positive values from 0.2 to 0.5, snow and barren soil getting values close to zero and deep water getting high negative values down to -1.s2m_ndviWCSImageMosaicPTA__s2m_ndviRectifiedGridCoverage50000.0 6500000.0842000.0 7800000.015.195465575912904 58.40808284681142536.022095926354645 70.30030649555268balfi_icedeformationSea ice deformation is estimated based on the cross-correlation between the HH and HV SAR image channels. The more deformed ice, the more distinguishable features (above the noise level) the SAR imagery has at both channels, resulting to an increasing inter-channel cross-correlation as a function of increasing deformation. The cross-correlation is computed between adjacent day mosaics, and the value corresponding to 10 percent of the ordered 15 day period values is used as the degree of deformation. The current scale is also from one (no deformation) to 255 (highly deformed). It is noted that the scale is a qualitative one, and it is not yet possible to link it to quantitative figures of sea ice deformation, like height of ice ridges.balfi_icedeformationWCSImageMosaicBALFI__balfi_icedeformationRectifiedGridCoverage9.0000001 52.995130.9960001 66.09.00000006543234 52.995099969460430.9960000654323 65.9999999694604balfi_seaicethicknessSnow and sea ice thickness over the landfast ice are estimated using a one-dimensional sea ice thermodynamic model (HIGHTSI) model run at FMI. The model is forced with ECMWF (European Centre for Medium-Range Weather Forecasts) numerical weather forecasting data. The HIGHTSI model data has a spatial grid of 0.0665 deg in longitude (7-8 km) and 0.133 deg in latitude (~14 km). The snow and ice thickness data are interpolated to the 500 m pixel size of the landfast ice extent map. It is noted that the snow and ice thickness maps show average thicknesses over a large area, and locally snow and ice thickness can vary a lot.balfi_seaicethicknessWCSImageMosaicBALFI__balfi_seaicethicknessRectifiedGridCoverage9.0000001 52.995130.9960001 66.09.00000006543234 52.995099969460430.9960000654323 65.9999999694604balfi_snowthicknessSnow and sea ice thickness over the landfast ice are estimated using a one-dimensional sea ice thermodynamic model (HIGHTSI) model run at FMI. The model is forced with ECMWF (European Centre for Medium-Range Weather Forecasts) numerical weather forecasting data. The HIGHTSI model data has a spatial grid of 0.0665 deg in longitude (7-8 km) and 0.133 deg in latitude (~14 km). The snow and ice thickness data are interpolated to the 500 m pixel size of the landfast ice extent map. It is noted that the snow and ice thickness maps show average thicknesses over a large area, and locally snow and ice thickness can vary a lot.balfi_snowthicknessWCSImageMosaicBALFI__balfi_snowthicknessRectifiedGridCoverage9.0000001 52.995130.9960001 66.09.00000006543234 52.995099969460430.9960000654323 65.9999999694604c_gls_SCE500_composite_10d_CEURO_MODISc_gls_SCE500_composite_10d_CEURO_MODISWCSImageMosaicSatellite__c_gls_SCE500_composite_10d_CEURO_MODISRectifiedGridCoverage-11.0 34.9999999999999949.999999999999744 72.00000000000112-11.0 35.050.0 72.0c_gls_SCE_composite_10d_NHEMI_VIIRSc_gls_SCE_composite_10d_NHEMI_VIIRSWCSImageMosaicSatellite__c_gls_SCE_composite_10d_NHEMI_VIIRSRectifiedGridCoverage-180.0 25.0180.0 84.0-180.0 25.0180.0 84.0image2006_rgb_fcIMAGE2006 mosaic (false color composite, scaled to 8-bit data for viewing purposes) consists of IRS P6 LISS and Spot-4/5 images, and was made for production of Finnish Corine 2006 Land Cover classification. Its target year is 2006, but consists of images acquired during 19.6.2005-31.7.2006. Spatial resolution is 20 m.image2006_rgb_fcWCSGeoTIFFPTA__image2006_rgb_fcRectifiedGridCoverage47875.0 6583150.0742895.0 7805130.015.115321114527656 59.1456963231841833.44680064158911 70.34263260714185s2s_rio_pc5s2s_rio_pc5WCSImageMosaicRIO__s2s_rio_pc5RectifiedGridCoverage-4357383.85862054 -4357383.858620544357383.85862054 4357383.85862054-180.0 50.0180.0 90.0sce_paneu_500msce_paneu_500mWCSImageMosaicSatellite__sce_paneu_500mRectifiedGridCoverage-11.0 35.050.0 72.0-11.0 35.050.0 72.0sspi_10dayssspi_10daysWCSImageMosaicSatellite__sspi_10daysRectifiedGridCoverage-11.0 32.99968835.000368 72.0-11.0 32.99968835.000368 72.0sspi_30dayssspi_30daysWCSImageMosaicSatellite__sspi_30daysRectifiedGridCoverage-11.0 32.99968835.000368 72.0-11.0 32.99968835.000368 72.0superswesupersweWCSImageMosaicSatellite__supersweRectifiedGridCoverage-24.975 25.02544.975 75.025-24.975 25.02544.975 75.025viirsviirsWCSImageMosaicSatellite__viirsRectifiedGridCoverage50199.481 6582464.036761274.625 7799839.8915.201362255225805 59.1420556944635433.914439646537204 70.30343005650514