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        \         \"title\": \"RDF/XML (schema.org) metadata\"\n        },\n        {\n
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        \         \"title\": \"Turtle (schema.org) metadata\"\n        },\n        {\n
        \         \"rel\": \"alternate\",\n          \"href\": \"https://emc.spacebel.be/collections/F-FCC?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n
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        \         \"title\": \"More collections for Sentinel-2 platform\"\n        },\n
        \       {\n          \"rel\": \"related\",\n          \"href\": \"https://emc.spacebel.be/series/concepts/instruments/s2-msi\",\n
        \         \"title\": \"More collections for MSI instrument\"\n        }\n
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        \       \"Ocean Waves\",\n        \"Sea Surface Topography\",\n        \"Atmosphere\",\n
        \       \"Atmospheric Winds\",\n        \"EARTH SCIENCE > LAND SURFACE\",\n
        \       \"EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY\",\n        \"EARTH SCIENCE
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        Envisat Altimetry reprocessing Version (V2.1) completed in 2012.  The GDR
        and S-GDR data products were reprocessed for all cycles from 6 to 113 (May
        2002 to April 2012) into a homogeneous standard in NetCDF format (close to
        Sentinel-3).  The Sensor Data Record (SGDR) Product from RA-2/MWR includes
        the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-)
        (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz)
        and RA-2 individual waveforms (1800Hz). This product is a continuation of
        ERS RA data.  This data product has a coverage of 1 pass, pole-pole, a spatial
        sampling of about 390 m along track and a size of 31 to 40 MB, depending on
        presence of individual waveforms.  The radiometric accuracy is 0.2 dB and
        auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation
        data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time
        relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope
        data, and tide model (ocean, earth, loading, pole).  Please consult the Envisat
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        \         \"rel\": \"alternate\",\n          \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=text/turtle;profile=https://schema.org\",\n
        \         \"type\": \"text/turtle;profile=\\\"https://schema.org\\\"\",\n
        \         \"title\": \"Turtle (schema.org) metadata\"\n        },\n        {\n
        \         \"rel\": \"alternate\",\n          \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n
        \         \"type\": \"text/turtle;profile=\\\"http://data.europa.eu/930/\\\"\",\n
        \         \"title\": \"Turtle (GeoDCAT-AP) metadata\"\n        },\n        {\n
        \         \"rel\": \"related\",\n          \"href\": \"https://emc.spacebel.be/series/eo:organisationName/ESA@ESRIN\",\n
        \         \"title\": \"More collections for ESA/ESRIN\"\n        },\n        {\n
        \         \"rel\": \"related\",\n          \"href\": \"https://emc.spacebel.be/series/eo:platform/Envisat\",\n
        \         \"title\": \"More collections for Envisat platform\"\n        },\n
        \       {\n          \"rel\": \"related\",\n          \"href\": \"https://emc.spacebel.be/series/concepts/instruments/2ebd3948-3f88-5944-8e3c-7e60099ec941\",\n
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        \       }\n      ],\n      \"summaries\": {\n        \"instruments\": [\"RA-2\"],\n
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        \       \"MERIS\"\n      ],\n      \"created\": \"2019-05-28T00:00:00.000Z\",\n
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        contains the Top of Atmosphere (TOA) upwelling spectral radiance measures
        at reduced resolution. The in-band reference irradiances for the 15 MERIS
        bands are computed by averaging the in-band solar irradiance of each pixel.
        The in-band solar irradiance of each pixel is computed by integrating the
        reference solar spectrum with the band-pass of each pixel.  The MERIS RR Level
        1 product has Sentinel 3-like format starting from the 4th reprocessing data
        released to users in July 2020.  Each measurement and annotation data file
        is in NetCDF 4. The Level 1 product is composed of 22 measurements data files:
        15 files containing radiances at each band (one band per file), accompanied
        by the associated error estimates, and 7 annotation data files.  The band-pass
        of each pixel is derived from on-ground and in-flight characterisation via
        an instrument model. The values \\\"Band wavelength\\\" and \\\"Bandwidth\\\"
        provided in the Manifest file of the Level 1 products are the averaged band-pass
        of each pixel over the instrument field of view.  The Auxiliary data used
        are listed in the Manifest file associated to each product.  MERIS was operating
        continuously on the day side of the Envisat orbit (descending track). RR data
        was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track.\",\n
        \     \"type\": \"Collection\",\n      \"title\": \"Envisat MERIS Reduced
        Resolution - Level 1 [MER_RR__1P/ME_1_RRG]\",\n      \"license\": \"various\",\n
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        2.3 \xC2\xB5m spectral range of the solar spectral range, using the Weighting
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        Greenhouse Gases (GHG) Climate Change Initiative (CCI) project.When citing
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        \         \"href\": \"https://www.atmos-meas-tech.net/12/6771/2019/\",\n          \"title\":
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        of the ESA CCI Open Data Portal.\"]}\n    },\n    {\n      \"extent\": {\n
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        is based upon surface reflectance data from the OLCI and SLSTR instruments
        (combined as the Synergy (SYN) product) onboard the Sentinel-3 A&B satellites.
        This information is complemented by VIIRS thermal information. This product,
        called FireCCIS311 for short, is available for the years 2019 to 2022.The
        FireCCIS311 Pixel product described here includes maps at 0.002777-degree
        (approx. 300m) resolution. Burned area (BA) information includes 3 individual
        files, packed in a compressed tar.gz file: date of BA detection (labelled
        JD), the confidence level (CL, a probability value estimating the confidence
        that a pixel is actually burned), and the land cover (LC) information as defined
        in the Copernicus Climate Change Service (C3S) Land Cover v2.1.1 product.
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        on the product and its format see the Product User Guide in the linked documentation.\",\n
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        \         \"title\": \"Turtle (schema.org) metadata\"\n        },\n        {\n
        \         \"rel\": \"alternate\",\n          \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n
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        \         \"rel\": \"related\",\n          \"href\": \"https://emc.spacebel.be/series/eo:organisationName/CEDA\",\n
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        \     \"id\": \"d441079fc77f49fabeb41330612b252f\",\n      \"updated\": \"2025-04-07T23:42:44Z\",\n
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        {\"processing:lineage\": [\"Data was produced by the ESA Fire CCI team as
        part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA
        (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open
        Data Portal.\"]}\n    },\n    {\n      \"extent\": {\n        \"spatial\":
        {\"bbox\": [[\n          64.8,\n          59.4,\n          87.3,\n          73.9\n
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        \         \"2019-12-31T23:59:59Z\"\n        ]]}\n      },\n      \"stac_version\":
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        \       \"High Resolution\",\n        \"orthoimagery\",\n        \"EARTH SCIENCE>LAND
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        contains high resolution (HR) land cover (LC) and land cover change (LCC)
        maps of a subregion of Siberia, produced by the ESA High Resolution Land Cover
        (HRLC) Climate Change Initiative (CCI) project.  It consists of the following
        products:1) HRLC30:  High Resolution Land Cover Maps at 30m spatial resolution
        for years 1990, 1995, 2000, 2005, 2010, 2015, 2019.2) HRLCC30: High Resolution
        Land Cover Change Maps at 30m spatial resolution of yearly changes. A map
        every 5 years (1990-1995, 1995-2000, 2000-2005, 2005-2010, 2010-2015,2015-2019)
        is provided which reports (high priority) changed pixels and their year within
        the 5-years temporal interval.3) Associated uncertainty productsThey cover
        the geographic range (59.4\xC2\xB0N \xE2\\u0080\\u0093 73.9\xC2\xB0N, 64.8\xC2\xB0E
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        following the Sentinel 2 MGRS tiling scheme and as a GeoTiff format mosaic.
        \   These maps are also referred to as historical maps.\",\n      \"type\":
        \"Collection\",\n      \"title\": \"ESA High Resolution Land Cover Climate
        Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover
        and Land Cover Change Maps in Siberia (Norther Siberia region) at 30m spatial
        resolution in GeoTiff format, 1990-2019, v1.2\",\n      \"license\": \"various\",\n
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        of the dataset.The six thematic climate variables included in this dataset
        are:\xE2\\u0080\xA2 Lake Water Level (LWL), derived from satellite altimetry,
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        and their connection with regional and global climate change.\xE2\\u0080\xA2
        Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution
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        expansion in high Asia, or impact of large-scale atmospheric oscillations
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        mixing regimes, driving biogeochemical cycling and seasonality.\xE2\\u0080\xA2
        Lake Ice Cover (LIC), determined from optical observations, describes the
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        indicator of the frequency of extreme events (peak terrestrial run-off, changing
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        from the Lakes_cci documentation available on the project website  and in
        Carrea, L., Cr\xC3\xA9taux, JF., Liu, X. et al. Satellite-derived multivariate
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