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