Title :
Sea Surface Salinity Retrieval Throughout a SMOS Half-Orbit Using Neural Networks
Author :
Ammar, A. ; Labroue, S. ; Obligis, E. ; Mejia, C. ; Thiria, S. ; Crépon, M.
Abstract :
This article explains the way to resolve one of the main difficulties of using neural networks to retrieve the ocean salinity from SMOS observations. By designing a set of networks which inputs are adapted to the variability of SMOS incidence angles, we are able to process practically any point on the ocean surface
Keywords :
neural nets; oceanographic techniques; seawater; SMOS half-orbit; SMOS incidence angles; neural networks; ocean salinity retrieval; sea surface salinity retrieval; Brightness temperature; Earth; Neural networks; Ocean salinity; Ocean temperature; SMOS mission; Sea measurements; Sea surface; Sea surface salinity; Soil moisture;
Conference_Titel :
IEEE MicroRad, 2006
Conference_Location :
SanJuan
Print_ISBN :
0-7803-9417-8
DOI :
10.1109/MICRAD.2006.1677071
