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Penetration Bias Correction in X-band InSAR DEMs (Greenland)

#SAR #InSAR #Machine Learning #Cryosphere #PhD Thesis

Developed as part of PhD research at DLR / ETH Zürich, combining physics-based scattering models with machine learning to correct systematic elevation bias caused by radar signal penetration into snow and ice, improving X-band InSAR DEM accuracy over the Greenland Ice Sheet.