Content tagged with "insar"
Doctoral thesis on combining data-driven machine learning with physics-based scattering models to improve parameter retrieval from interferometric SAR.
A hybrid AI-physical method to correct penetration bias in X-band InSAR DEMs over the Greenland Ice Sheet, parameterising the vertical structure function via machine learning.
A hybrid model-based and machine learning approach to forest height estimation from TanDEM-X InSAR, validated over tropical biomes including Gabon and the Amazon.
Rapid changes in the Greenland Ice Sheet require precise elevation monitoring to understand ice dynamics and predict sea level rise. X-band Interferometric Synthetic Aperture Radar (InSAR) has the potential for this purpose but is limited by microwave signal...
A hybrid AI-physical model combining data-driven learning with electromagnetic scattering models for forest height retrieval from TanDEM-X InSAR.
A hybrid AI-physical method to correct penetration bias in X-band InSAR digital elevation models over the Greenland Ice Sheet.
Combined TanDEM-X interferometric coherence with GEDI lidar waveforms to map forest structure dynamics at continental scale across the Brazilian Amazon.