@prefix dcat: . @prefix dct: . @prefix foaf: . @prefix gsp: . @prefix locn: . @prefix owl: . @prefix rdfs: . @prefix schema: . @prefix vcard: . @prefix xsd: . a schema:DataDownload, rdfs:Resource, dcat:Distribution ; dct:format "WWW:LINK-1.0-http--link" ; dct:issued "2026-05-20T16:37:39.285013"^^xsd:dateTime ; dct:modified "2026-05-20T16:37:40.139596"^^xsd:dateTime ; dct:title " IADC project " ; schema:contentUrl "http://iadc.cnr.it/cnr/index.php" ; schema:encodingFormat "WWW:LINK-1.0-http--link" ; schema:name " IADC project " ; dcat:downloadURL . a schema:DataDownload, rdfs:Resource, dcat:Distribution ; dct:format "OPeNDAP:OPeNDAP" ; dct:issued "2026-05-20T16:37:40.147099"^^xsd:dateTime ; dct:modified "2026-05-20T16:37:41.033918"^^xsd:dateTime ; dct:title " OPeNDAP URL " ; schema:contentUrl "https://data.iadc.cnr.it/erddap/griddap/zenodo_5705593" ; schema:encodingFormat "OPeNDAP:OPeNDAP" ; schema:name " OPeNDAP URL " ; dcat:downloadURL . a schema:DataDownload, rdfs:Resource, dcat:Distribution ; dct:format "WWW:LINK-1.0-http--link" ; dct:issued "2026-05-20T16:37:41.040339"^^xsd:dateTime ; dct:modified "2026-05-20T16:44:50.641240"^^xsd:dateTime ; dct:title " Dataset " ; schema:contentUrl "https://zenodo.org/record/5752454#.Ya4OgNDMLIU" ; schema:encodingFormat "WWW:LINK-1.0-http--link" ; schema:name " Dataset " ; dcat:downloadURL . a schema:DataDownload, schema:Dataset, rdfs:Resource, dcat:Dataset, dcat:Distribution, foaf:Document ; dct:bibliographicCitation "https://doi.org/10.5281/zenodo.5752453" ; dct:description "Terrestrial Photography ApplicationS on Snow covEr in Svalbard (PASSES) Project start: 2018-04-15 - end: 2021-12-31 The purpose of this activity is the development of a new snow product focused on the estimation of the fraction of snow cover in selected sites at different spatial resolutions. This dataset will be aimed to support the estimation of cryospheric information using remotely sensed data, with a particular attention to data obtained in the framework of the Copernicus program. The availability of this dataset in a natural laboratory such as Svalbard islands will support the reduction of the gap between remotely sensed data and modeling activities. This added value will be very important considering the higher spatial resolution of the sensors recently deployed. The dataset will be based on re-using data obtained from public repositories such as the digital elevation model of Svalbard, the available webcam imageries in Svalbard and satellite products from Landsat, Sentinel and MODIS missions. All the available data will be integrated in order to estimate the fraction of snow cover, at different spatial resolutions, for each satellite mission. These estimations, computed at different sites in Svalbard islands, will offer the opportunity to better integrate results obtained by remote sensing with modeling and air-snow interactions studies. 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