Gregory Giuliani
@greggiuliani.bsky.social
Earth Observations enthusiast, Environmentalist, Land Change Science & Climate impacts | Senior Lecturer at the Institute for Environmental Sciences of the University of Geneva, Switzerland.
📢 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
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...
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...
doi.org
New paper | PyLM: A Python Implementation for Landscape Mosaic Analysis doi.org/10.3390/land...
doi.org
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
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…
swissdatacube.org
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.
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 ...
doi.org
#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
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...
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.gov
#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
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
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
doi.org
#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
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
Frontiers | Past and future trends in swiss snow cover: multi-decades analysis using the snow observation from space algorithm
doi.org
#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
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
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 …
sciencedirect.com
