News

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, […]

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 […]

SnowCover.CH: Monitoring Snow Cover changes over Switzerland using Earth Observations time-series

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 […]

Automated Sentinel-2 update

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.

SDC Hackathon on SDG6 – results

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 […]

Open Data Cube Initiative & SDC

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 […]

Swiss Data Cube Hackathon on SDGs

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 […]

Sentinel-2 available in the Swiss Data Cube

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 […]

First Sentinel-2 Snow Cover Map of Switzerland

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 […]

First scientific publication on the Swiss Data Cube

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 […]

Urbanization – Basel 2000/2016

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.

Urbanization – Bulle 2000/2016

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 […]

First cloud-free mosaic for the entire Switzerland

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 @ GEOweek 2017

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

The Swiss Data Cube consortium

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 […]

The Swiss Data Cube is growing

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.

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