@prefix void:  <http://rdfs.org/ns/void#> .
@prefix os:    <http://a9.com/-/spec/opensearch/1.1/> .
@prefix adms:  <http://www.w3.org/ns/adms#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix gsp:   <http://www.opengis.net/ont/geosparql#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix eo:    <http://a9.com/-/opensearch/extensions/eo/1.0/> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix geo:   <http://a9.com/-/opensearch/extensions/geo/1.0/> .
@prefix dct:   <http://purl.org/dc/terms/> .
@prefix sru:   <http://a9.com/-/opensearch/extensions/sru/2.0/> .
@prefix ldp:   <http://www.w3.org/ns/ldp#> .
@prefix owc:   <http://www.opengis.net/ont/owc/1.0/> .
@prefix iana:  <http://www.iana.org/assignments/relation/> .
@prefix time:  <http://a9.com/-/opensearch/extensions/time/1.0/> .
@prefix locn:  <http://www.w3.org/ns/locn#> .
@prefix atom:  <http://www.w3.org/2005/Atom/> .
@prefix dcat:  <http://www.w3.org/ns/dcat#> .
@prefix prov:  <http://www.w3.org/ns/prov#> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix dc:    <http://purl.org/dc/elements/1.1/> .

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        skos:prefLabel  "EARTH SCIENCE>TERRESTRIAL HYDROSPHERE>SNOW/ICE" .

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<https://earth.esa.int/concept/4d6ac52b-97d4-5b1e-bfb8-a19c3b56b83d>
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                                  ] ;
        dct:description           "GCOM-C/SGLI L2 Statistics-Snow and ice surface temperature (8-Days,1km) dataset is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 2 statistics products are using the Level2 product of land and cryosphere (Daily, Tile, 250 m or 1 km resolution) as input, it calculates and outputs the temporal statistics of 8-days or 1-month. The region definition and spatial resolutions of the output product are kept those of input data.This dataset includes SIST: Snow and ice surface temperature based on a model snow.Using the Level2 product as input, it calculates and outputs the temporal statistics of 8-days. The region definition and spatial resolutions of the output product are kept those of input data.Physical quantity unit is Kelvin. The statistics values stored to product are average (AVE), root-mean-square (RMS), maximum value (MAX), minimum value (MIN), number of input data (Ninput), number of used data (Nused), date of observation (Date), and quality flag (QA_flag).The provided format is HDF5. The spatial resolution is 1 km. The statistical period is 8 days also 1 month is available. The projection method is EQA. The generation unit is Tile. The current version of the product is Version 3. The Version 2 is also available." ;
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