📢 Big Earth Data for Sustainable Development: Open Data and Software Innovation
👉 lnkd.in/guHSsWeb
💞 Guest Advisors: Gregory Giuliani @greggiuliani.bsky.social uliani.bsky.social & Alexander Kmoch @allixender.bsky.social
#remotesensing #GIS #BigData #SDGs #GeoAI #opendata #opentool #FAIR

A digital twin approach for the identification and update of ecological infrastructure Addressing the global environmental crisis necessitates coordinated efforts, supported by open and reproducible research practices. Such practices aim to enhance the reliability, efficiency, and cr...

New paper | A digital twin approach for the identification and update of ecological infrastructure
This technical note presents a reproducible and automated approach for supporting land management and planning by identifying and updating ecological infrastructure
doi.org/10.1080/2096...

New paper | PyLM: A Python Implementation for Landscape Mosaic Analysis
doi.org/10.3390/land...

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

AI-Powered Digital Twin Framework for Land Use Change in Disaster Affected Regions The increasing frequency and severity of natural and anthropogenic disasters, including those induced by war and climate change, demand innovative tools for monitoring, forecasting, and managing land ...

New paper | AI-Powered Digital Twin Framework for Land Use Change in Disaster Affected Regions: doi.org/10.1109/JSTA...
We used, in our @snsf.ch project, different types of #EarthObservation data to feed an #AI-based #DigitalTwin for real-time monitoring of #LandUse #LandCover change.

#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

End of an Era: Landsat 7 Decommissioned After 25 Years of Earth Observation After 25 years of capturing Earth's changing landscape, the Landsat 7 satellite received its final transmission from the U.S. Geological Survey and was officially decommissioned June 4, closing a rema...

USGS, which operates the Landsat satellites, just announced that Landsat 7 was officially decommissioned today. Landsat 8 and 9 continue operations.
www.usgs.gov/news/nationa...

#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

Également dans @mariannelemag.bsky.social (le "print"), le portrait d'un chercheur suisse qui marie sols, eau, neige et satellite pour faire de la prévision de catastrophes, et ne baisse pas les bras. Il est toujours plein d'espoir, @greggiuliani.bsky.social.

#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

Very interesting presentation from Dr. Simon Hook #NASA #JPL on existing and future thermal missions. #ECOSTRES looks particularly interesting #SBSR conference #Salvador #Bahia

After two years, back at #INPE to continue the great collaboration between the Brazil and Swiss Data Cubes on Satellite Image Time-Series #SITS

#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.

No other words needed...
#StandUpForScience

#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