This training material has been developed to help people who which to install; configure; and use an Open Data Cube instance. Citation: Chatenoux B., Richard J.-P., Guigoz Y., Poussin C., Giuliani G. (2019) Bringing Open Data Cube into Practice. Workshop Material. GRID-Geneva & University of Geneva. 65 pages.
The Atlas of Changing Switzerland allows looking at Switzerland’s landscape evolution over the last decades. Landsat and Sentinel-2 data are used to visually compare pairs of images showing how glacier are receding, cities are growing, or droughts are affecting lakes. https://www.swissdatacube.org/1676271454960/viewer/#8/46.808/8.201/OSM-Country-Mask-Atlas
Provides OGC-compliant web services to discover, view, and access data products generated by the Swiss Data Cube. Discovery services: CSW 2.0.2; OpeanSearch EO 1.0 View services: Web Map Service (WMS) with EO extension 1.1.1 / 1.3.0; Web Map Tile Service (WMTS) 1.0.0; Tile Map Service (TMS) 1.0.0; Web Map Tile Cached (WMS-C) 1.1.1 Download services: Web Coverage Service (WCS) with EO extension …
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The Swiss Data Cube Viewer is a web-based front-end allowing visualizing, querying, and accessing EO data products generated with the Swiss Data Cube and published using GeoServer. https://www.swissdatacube.org/viewer
If you wish to know more about the Swiss Data Cube, you can have a look to this StoryMap using the MapX engine. We present through 20 animated slides what is the Swiss Data Cube and how it can be used to monitor environmental changes in Switzerland using Earth Observations data captured by satellites. Follow …
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A poster presenting the results of the Swiss Data Cube Hackathon on SDG6.
This poster presenting the Swiss Data Cube was prepared for the exhibit “One Planet – Many Geospatial Solutions” at Institute of Environmental Sciences of the University of Geneva (https://www.unige.ch/public/carrousel/one-planet/). The text of the poster is bilingual (French/English)
This poster, presented at the EuroGEOSS workshop (12-14 Septembre 2018, Geneva), features the first results of the Snow Observations from Space algorithm analysing 22 years of Landsat data over two periods (winter seasons; 1995/2005 & 2005/2017) for the entire Switzerland. We can see the snow is gradually disappearing in high altitude and that conditions that …
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Based on the first cloud-free mosaic generated with the SDC, we have prepared an A1 format poster of Switzerland. We used all Landsat 8 observations for the year 2016 to generate this image. Coordinate system: CH1903+ Projection: Oblique Mercator Images: Landsat 8 – USGS Period: 01/01 – 31/12/2016 Composite: True Color – Median