This project evaluates whether deep-learning flood models trained on Sentinel-1 SAR data can transfer to NISAR L-band imagery. It measures performance gaps across open water and flooded forests and determines how much labeled NISAR data is needed for adaptation.

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This project evaluates whether deep-learning flood models trained on Sentinel-1 SAR data can transfer to NISAR L-band imagery. It measures performance gaps across open water and flooded forests and determines how much labeled NISAR data is needed for adaptation.