Sea ice thickness estimation based on regression neural networks using l-band microwave radiometry data from the fsscat mission

HIGHLIGHTS

• who: Christoph Herbert et al. from the Institut de Ciu00e8ncies del Mar (ICM), Spanish National Research Council (CSIC), Passeig Maru00edtim de la Barceloneta, Barcelona, Spain have published the article: Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission, in the Journal: (JOURNAL) of 13/Oct/2020
• what: This work investigates a predictive network approach with the goal to infer SIT using FMPL-2 TB and ancillary data (sea concentration surface temperature and freeboard). While the L-band signal already saturates around 0.6 m, the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.