Project Description

Deep Learning with CryoSat

Project Description

Compensating for penetration in radar altimetry cryosphere elevation estimates using deep learning: EarthWave conducted a feasibility study using Swath radar altimetry and Operation Icebridge Lidar data fused together and to train a neural network to improve elevation estimates. Our model compensates for 70-90% of the mean penetration, while reducing the root mean squared error by 10-17%.

Project Details

Project Duration: 2018

Project Partners: University of Edinburgh