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.
Scientific collaboration with WSL & UZH
On October 15, we has a meeting with the University of Zurich/Remote Sensing Laboratories (UZH/RSL), with David Small and Michael Schaepman, to define Sentinel-1 Analysis Ready Data. Two UNIGE/GRID team members will go to Zurich in early November to discuss and initiate S1 data ingestion. On October 16-17, we had the visit of Charlotte Steinmeier, […]
ADC4SD: Supporting Armenia in Building the Armenian Data Cube
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 […]
Special Issue on “Earth Observation Data Cubes” – Call for Papers
Dear colleagues, Remotely sensed Earth Observations (EO) data have already exceeded the petabyte-scale and are increasingly freely and openly available from different data holdings. This poses a certain number of issues in terms of volume (e.g., data volumes have increased 10x in the last 5 years); velocity (e.g., Sentinel-2 is capturing a new image of […]
Snow Cover Change in Switzerland
Today during the EuroGEOSS workshop plenary we were pleased to present the first national product generated with the Swiss Data Cube. We used 22 years of Landsat observations over the entire Switzerland to track snow cover changes using the Snow Observations from Space algorithm. We observed that in Switzerland, snow is disappearing and this phenomenon […]
Upcoming Events
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GEO Week 2018 at Kyoto, Japan
The Swiss Data Cube project will contribute to this major GEO event. More information at: http://www.earthobservations.org/geo15.php
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Swiss Geoscience Meeting 2018 at Bern, Switzerland
The Swiss Data Cube will be presented during the Swiss Geoscience Meeting 2018 in Bern. More information: https://geoscience-meeting.ch/sgm2018/
Tweets
Good quality field data, collected with the validation of EO products in mind are invaluable in bridging the gap between EO data and insight for decision makers https://t.co/RnIeW1SpFt
Nice to see our data featured in the Swiss Geoportal!
Happy to contribute to this project supporting #Armenia to build its own #earthobservation data cube & benefiting from the experience of the #SwissDataCube #Switzerland @unige_ise @GRIDgva @OpenDataCube @CEOSdotORG @GEOSEC2025
Great example using data provided by the #SwissDataCube @euronews
