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prithvi-eo-2

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Tushar365 / GEE-Prithvi_EO_2.0-Finetune-BurnScar-End2End

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A comprehensive, end-to-end geospatial pipeline for wildfire damage assessment. Integrates Google Earth Engine (GEE) data harvesting with NASA-IBM Prithvi EO 2.0 (Vision Transformer) fine-tuning to achieve a +50.58% Macro F1 improvement in burn scar severity classification.

computer-vision remote-sensing transformer-models pytorch-lightning save-earth wildfire-detection earth-observation-satellites google-earth-engine-python geospatial-ai prithvi-eo-2 burn-scar-segmentation
  • Updated Feb 1, 2026
  • Jupyter Notebook

andrewbelles / solar-panel

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Measuring land-usage optimality for solar panels. Uses Prithvi + LoRA to fine-tune and compress Sentinel-2 data with GeoRank regularization. Models land fitness at a coordinate point with regional context and allows for inference over a region of land using Numeric Integration.

data-mining big-data computer-vision monte-carlo remote-sensing statistical-inference unsupervised-machine-learning self-supervised-learning numeric-integration contrastive-learning vision-transformer prithvi-eo-2
  • Updated Mar 31, 2026

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