Long Term Global Surface Soil Moisture Fields Using an...

Remote Sensing 2016 / 11 Vol. 8; Iss. 11

Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data

Rodríguez-Fernández, Nemesio, Kerr, Yann, van der Schalie, Robin, Al-Yaari, Amen, Wigneron, Jean-Pierre, de Jeu, Richard, Richaume, Philippe, Dutra, Emanuel, Mialon, Arnaud, Drusch, Matthias
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Volume:
8
Language:
english
Journal:
Remote Sensing
DOI:
10.3390/rs8110959
Date:
November, 2016
File:
PDF, 16.11 MB
english, 2016
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