What is the Swiss Data Cube?
Pressures on natural resources are increasing and a number of challenges need to be overcome to meet the needs of a growing population in a period of environmental variability. Some of these environmental issues can be monitored using remotely-sensed Earth Observations (EO) data that are increasingly available from a number of freely and openly accessible repositories. However, the full information potential of EO data has not been yet realized. They remain still underutilized mainly because of their complexity, increasing volume, and the lack of efficient processing capabilities.
EO Data Cubes (DC) are a new paradigm aiming to realise the full potential of EO data by lowering the barriers caused by these Big data challenges and providing access to large spatio-temporal data in an analysis ready form.
The main objectives of the Swiss Data Cube (SDC) is to support the Swiss government for environmental monitoring and reporting and enable Swiss scientific institutions (e.g., Universities) to facilitate new insights and research using the SDC and to improve the knowledge on the Swiss environment using EO data.
The Swiss Data Cube is a joint initiative of:
The Swiss Data Cube (SDC) is an innovative technology that gathers all available satellite images from the American Landsat program and the European Sentinel 1 and 2. UNEP/GRID-Geneva, the University of Geneva (UNIGE), the University of Zurich (UZH) and the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) have ente- red a new […]
Are you an Environmental/Land Change specialist, Remote Sensing specialist, computer scientist or data scientist with Remote Sensing skills? Do you thrive in an interdisciplinary environment? Are you excited to explore new research areas at the interface of Environmental and Computer Sciences? Are you a proactive learner with a computational background? If so, this Postdoc position […]
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 first Sentinel-1 Analysis Ready Data have been successfully ingested in the test version of the Swiss Data Cube. By early 2019, the entire Sentinel-1 archive (starting from 2014) will be available on the production server, and continuously updated. This work is done under an active collaboration with Dr. David Small of the University of […]