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 […]
Switzerland is currently knowing one of its most important drought of the last 40 years. Prolonged heat and dryness conditions during late spring, summer, and early autumn of 2018 has led to drought in most European countries (see). Different lakes in Switzerland are suffering from water shortages and their water levels are declining. This is […]
On October 15, we had 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, […]
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 […]
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 […]
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 […]
We have received the good news that the project “SnowCover.CH: Monitoring Snow Cover changes over Switzerland using Earth Observations time-series” has been accepted. This project jointly lead by UNIGE/GRID (Dr. Gregory Giuliani) & UZH/RSL (Dr. David Small) is supported by the UNIGE-UZH Joint Seed Funding. Since mid-December 2017 the University of Zurich and the University of […]
The SDC team is pleased to announce that since June 10 the Sentinel-2 Analysis Ready Data archive is automatically updated every day to ensure that the latest Sentinel-2 A/B data are available in the Swiss Data Cube. We will soon also add a similar feature to the Landsat ARD archive.
Last week during the OpenGeneva Festival, we had a three-days hackathon trying to work with the content of the Swiss Data Cube to contribute to the Sustainable Development Goal (SDG) 6 on Water. More information can be found here. It was a really nice event, appreciated by the 29 participants with positive feedbacks and some […]
The Swiss Data Cube project leader has been interview by CEOS on the benefits of Earth Observations and data cube technology with a Swiss perspective. The following video presents the Open Data Cube Initiative and various on-going implementation in Switzerland and Colombia following the work done by Digital Earth Australia: You can also have a […]
We are pleased to invite you to join us for a hackathon organised by the Swiss Data Cube team on Sustainable Development Goals. This event is jointly organised by UN Environment/GRID-Geneva and the University of Geneva/enviroSPACE with the support of NASA/CEOS. Registration: please register to the event by filling the following form: https://goo.gl/forms/Vopz3VF3vPjwc97v1 More information on the […]
Our team has successfully pre-processed and ingested the entire Sentinel-2 A/B archive for Switzerland. This corresponds to approximately 2400 images at 10m resolution covering the entire country for the last 2.5 years. Now, more than 2TB of Sentinel-2 Analysis Ready Data are available in the Swiss Data Cube and complement the already available 33 years […]
Today, we have executed the Snow Observations from Space (SOfS) algorithm that our team is currently developing on the newly ingested Sentinel-2 Analysis Ready Data. The result is the first Sentinel-2 Snow Cover Map of Switzerland. This allows to identify different areas ranging from no snow cover to permanent snow cover during the period April-August […]
Today we are releasing the first product generated by the Swiss Data Cube. It is an A1 format poster of the Landsat 8 cloud-free mosaic of Switzerland for the year 2016. The image is a True Color mosaic using a median value for each pixel. The final resolution of the mosaic is 30 meters. The poster […]
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 Basel Region (North-western Switzerland) is an economically active region of Switzerland and urbanisation is changing rapidly the landscape of this area. We run the Urbanization algorithm to compare year 2000 and 2016 using Landsat 7 data. We can clearly see important changes in a short period of time over several parts of the region.
In recent years, the city of Bulle (in the Fribourg canton) is an economically active region and knows an important urbanization. We used the Swiss Data Cube to try to see the urban expansion of this city. The result below allows comparing year 2000 and 2016. We clearly see the expansion of Bulle (even if it […]
Today, we’ve been able to generate our first cloud-free Landsat 8 mosaic for the entire Switzerland for the year 2016. On our single test server it tooks about 4.5h hours of computation (Scene Count: 184; Pixel Count: 139’733’863) to generate the mosaic. Here is the result loaded in the web UI: And here is the final […]
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.