{"id":4958,"date":"2022-03-11T13:19:37","date_gmt":"2022-03-11T13:19:37","guid":{"rendered":"https:\/\/www.swissdatacube.org\/?page_id=4958"},"modified":"2024-09-16T08:05:45","modified_gmt":"2024-09-16T08:05:45","slug":"platform","status":"publish","type":"page","link":"https:\/\/www.swissdatacube.org\/index.php\/platform\/","title":{"rendered":"Platform"},"content":{"rendered":"

\"\"<\/p>\n

JupyterHub<\/strong><\/p>\n

This Notebook allows to use the Data Cube Python API to develop tailored algorithms and applications. Compared to the web interface, this is for more advanced users and requires having an account to get access to it.<\/p>\n

https:\/\/notebooks.swissdatacube.org\/jupyter<\/a><\/p>\n

Explorer<\/strong><\/p>\n

A web-based tool to explore and download the data collections provided by the Swiss Data Cube.<\/p>\n

https:\/\/explorer.swissdatacube.org\/<\/a><\/p>\n

SwissEnvEO<\/strong><\/p>\n

SwissEnvEO is a digital repository that facilitates the publication and access of Ready to Use information products, at national scale, derived from satellite EO data available from the Swiss Data Cube in full compliance with FAIR principles.<\/p>\n

https:\/\/geonetwork.swissdatacube.org\/<\/a><\/p>\n

Other Access (OGC Services, STAC)<\/strong><\/p>\n

For developers, all SDC resources are available using interoperable standards from ISO & OGC.<\/p>\n

STAC interface<\/em> \u2013 the SpatioTemporal Asset Catalog (STAC) specification provides a common language to describe a range of geospatial information, so it can more easily be indexed and discovered. A \u2018spatiotemporal asset\u2019 is any file that represents information about the earth captured in a certain space and time: https:\/\/explorer.swissdatacube.org\/sta<\/a>c<\/p>\n

OGC services<\/em> \u2013 All SDC data are now accessible using the OGC WMS, WMTS and WCS standards: https:\/\/ows.swissdatacube.org<\/a><\/p>\n

OGC API (demo)<\/em> – Testing interface for the new OGC APIs<\/p>\n

https:\/\/osires.unepgrid.ch\/<\/a><\/p>\n

Notebook repository\u00a0<\/strong><\/p>\n

Coming soon…<\/p>\n

Viewer (soon)<\/strong><\/p>\n

Coming soon…<\/p>\n","protected":false},"excerpt":{"rendered":"

JupyterHub This Notebook allows to use the Data Cube Python API to develop tailored algorithms and applications. Compared to the web interface, this is for more advanced users and requires having an account to get access to it. https:\/\/notebooks.swissdatacube.org\/jupyter Explorer A web-based tool to explore and download the data collections provided by the Swiss Data … <\/p>\n

Read more “Platform”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"pgc_meta":"","jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-4958","page","type-page","status-publish","hentry"],"pgc_meta":"","jetpack_shortlink":"https:\/\/wp.me\/P9mMCF-1hY","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"featured_media_urls":[],"_links":{"self":[{"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/pages\/4958","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/comments?post=4958"}],"version-history":[{"count":10,"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/pages\/4958\/revisions"}],"predecessor-version":[{"id":5879,"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/pages\/4958\/revisions\/5879"}],"wp:attachment":[{"href":"https:\/\/www.swissdatacube.org\/index.php\/wp-json\/wp\/v2\/media?parent=4958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}