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New release for the machine learning i-Melt library for predicting #glass and #melt #properties: API has evolved to significantly increase inference speed! Update via PyPI, check the Github and also the new Streamlit app!

Documentation: i-melt.readthedocs.io/en/lates
Streamlit app: i-melt.streamlit.app/
Github: github.com/charlesll/i-melt

i-melt.readthedocs.ioWelcome to i-Melt’s documentation! — i-Melt 2.1.3 documentation

Glacial Lake Mapping Using Remote Sensing Geo-Foundation Model
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doi.org/10.1016/j.jag.2025.104 <-- shared paper
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HIGHLIGHTS:
• Proposed U-ViT model based on Prithvi GFM for multi-sensor glacial lake mapping.
• Achieved an F1 score of 0.894 on Sentinel-1&2, surpassing CNNs scoring below 0.8.
• Maintains strong performance with 50% less training data, proving efficiency.
• Excels in detecting small lakes (<0.01km²) and handling clouds and complex terrains..."
#GIS #spatial #mapping #glaciallake #GeospatialFoundationModel #satellite #Sentinel #GaoFen #remotesensing #earthobservation #model #modeling #climatechange #glacial #glacier #melt #melting #UViT #deepleanring #AI #framework #performance #metrics #opensource

Permafrost - A Central Hub For Permafrost Information In Canada.
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geo.ca/communities/permafrost/
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“As #GeographyAwarenessWeek approaches, it's the perfect time to highlight Canada’s permafrost - a crucial component of our northern ecosystems that plays a key role in shaping both our environment and infrastructure.
[You are] invite[d] to discover GEO.ca’s new Permafrost Community space, a go-to resource for anyone interested in learning more about permafrost thawing and its impacts across Canada…”
#Permafrost #GeoDiscovery #ClimateChange #GIS #spatial #mapping #arctic #spatialanalysis #spatiotemporal #geography #canada #spatiotemporal #northern #ecosystems #infrastructure #change #damage #carbon #carbonstorage #environment #foodweb #melt #melting