Glacial Lake Mapping Using Remote Sensing Geo-Foundation Model
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https://doi.org/10.1016/j.jag.2025.104371 <-- 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