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: https://youtube.com/watch?v=QQe2YYy9xAU%3F You can also have …
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 …
Read more “Poster – Landsat 8 Cloud-free Mosaic of Switzerland [2016]”
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 …
Read more “First scientific publication on the Swiss Data Cube”
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.