We are pleased to announce that the Swiss Data Cube has been upgraded with the latest software development made available by the Open Data Cube community. This brings new functionalities and notebooks as well as bug fixes and code improvements. The list of new features is available on the ODC GitHub. This is a first […]
The Swiss Data Cube team has recently received a grant to support Armenian colleagues from the Center for Ecological-Noosphere Studies (CENS) and the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences in developing the first version of an Armenian Data Cube. The project is entitled “ADC4SD: Armenian Data Cube for […]
We are happy to announce that our scientific paper entitled “Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)” has been published today in the inaugural issue of Big Earth Data journal. You can find the article at: http://www.tandfonline.com/doi/full/10.1080/20964471.2017.1398903 Citation: Giuliani G., Chatenoux B., De Bono […]
The Swiss Data Cube will be presented at the GEO plenary 2017 in Washington DC (USA) on Tuesday 24th October during the session “Open Data Cube: An Open Source Digital Earth Architecture for Sustainable Development – Country Implementations and Experiences” (11:30-13:00, Room Continental A). The entire programme of the GEO week 2017 is available at: http://www.earthobservations.org/geo14.php?t=schedule
After the feasibility study done in 2016 by GRID/Geneva and the University of Geneva, the Swiss Federal Office for the Environment has renewed its support to complete the archive and extend the capabilities. Thanks to this, the University of Zurich (UNIZH) and the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) has joined […]
Recently the Swiss Data Cube (SDC) has been updated with all available Landsat 5, 7, and 8 scenes covering the entire country. The SDC is now populated with more than 3300 scenes over a period of 33 years (1984-2017). The next step will be to soon add all Sentinel 1 and 2 data.