Geoembeddings for Switzerland The Swiss Data Cube team now provides access to annual geombeddings for Switzerland based on the Temporal Embeddings of Surface Spectra for Earth Representation and Analysis (TESSERA) foundation mo…

The #SwissDataCube team now provides access to annual #geoembeddings of #Switzerland using the #TESSERA model: www.swissdatacube.org/index.php/20... #GeoAI #remotesensing #EarthObservation #Sentinel1 #Sentinel2

#ImageOfTheMonth #SwissDataCube | Today is the #Swiss National Day refering to a historic alliance concluded in 1291 by three cantons on the shore of Lake Lucerne.
#Sentinel-2 true color composite acquired in June 2025. #Switzerland #EO4impact #remotesensing #earthobservation

#ImageOfTheMonth #SwissDataCube | Lakes #Thun (Left) and #Brienz (right) appear noticeably different due to their distinct colors, primarily caused by their different sediment and glacial influences. #Sentinel-2 #Switzerland #EO4impact #remotesensing #earthobservation

#ImageOfTheMonth #SwissDataCube | This #Sentinel-2 false-color composite shows the extension of the dramatic event that recently happened in the #Lötschental after the collapse of the Birch glacier #Switzerland: www.theguardian.com/environment/... #EO4impact

#ImageOfTheMonth #SwissDataCube | Using #Sentinel-2 and other #Environmental descriptors from #swisstopo we are able to produce a consistent 10m #LandCover map of the entire #Switzerland. This will enable tracking changes in a very detailed way. #EO4impact

A 37 years [1984–2021] Landsat/Sentinel-2 derived snow cover time-series for Switzerland - Scientific Data Scientific Data - A 37 years [1984–2021] Landsat/Sentinel-2 derived snow cover time-series for Switzerland

New paper | Using the Snow Observation from Space algorithm we produced a 37-year monthly time-series of snow cover derived from Landsat and Sentinel-2 for #Switzerland
Link to publication: doi.org/10.1038/s415...
#SwissDataCube #UNIGE #ISE #GRIDgva #EO4impact #ClimateChange

#ImageOfTheMonth #SwissDataCube | In this Sentinel-2 true color composite, you can see probably the most famous peak of Europe - the #Matterhorn located at border between #Switzerland and #Italy.

#ImageOfTheMonth #SwissDataCube | A recent study in @nature.com has shown that the pace of glacier melting is accelerating: doi.org/10.1038/s415....
The Aletsch Glacier is an icon of the Swiss Alps and its significant decrease in 40 years is a clear consequence of #ClimateChange. #EO4impact

Frontiers | Past and future trends in swiss snow cover: multi-decades analysis using the snow observation from space algorithm

New paper | Using the Snow Observation from Space algorithm and climate projections, we found that snow-free areas in #Switzerland could expand btw 22 to 43% by 2100.
Link to publication: doi.org/10.3389/frse...
#SwissDataCube #UNIGE #ISE #GRIDgva #EO4impact #ClimateChange

#ImageOfTheMonth with the #SwissDataCube | Prolonged heat and dryness conditions can lead to #drought, serisously affecting lakes like the "Lac des Brenets". This lake experience important water shortages and its level is declining as seen on this #Sentinel2 false color composite. #EO4impact

With the start of the new year, I will try to publish every month a picture of #Switzerland #landscape as seen from space using the #SwissDataCube.
We start with a cloud-free mosaic of the country using all available #Sentinel2 images for 2020. #EO4impact

Snow Observation from Space: An approach to improving snow cover detection using four decades of Landsat and Sentinel-2 imageries across Switzerland Landsat and Sentinel-2 satellites offer significant advantages for monitoring snow cover over mountainous countries like Switzerland. Starting in the …

New paper | Benefiting from the long time-series of #Landsat data for #snow cover mapping as always been challenging. We developed an innovative approach to maximize its use: www.sciencedirect.com/science/arti... using the #SwissDataCube
#UNIGE #ISE #GRIDgva #EO4impact #ClimateChange