Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission
2021
This work was supported by 2017 ESA S3 challenge and Copernicus Masters overall winner
award (“FSSCat” project), and has been (partially) sponsored by the project SPOT: Sensing with
Pioneering Opportunistic Techniques grant RTI2018-099008-B-C21/AEI/10.13039/501100011033, and
by the Unidad de Excelencia Maria de Maeztu MDM-2016-0600. This work has also been (partially)
sponsored by the Spanish Ministry of Science and Innovation through the project ESP2017-89463-C3,
and by the Centro de Excelencia Severo Ochoa (CEX2019-000928-S), and by the CSIC Plataforma
Tematica Interdisciplinar de Teledeteccion (PTI-Teledetect). Christoph Herbert receives support
from “la Caixa” Foundation (ID 100010434) with the fellowship code LCF/BQ/DI18/11660050, and
funding from the European Union’s Horizon 2020 research and innovation programme under the
Marie Sklodowska-Curie grant agreement No. 713673; Joan Francesc Munoz-Martin receives support
from the grant for recruitment of early-stage research staff FI-DGR 2018 of the AGAUR—Generalitat
de Catalunya (FEDER), Spain; David Llaveria receives support from a FPU fellowship from the
Spanish Ministry of Education FPU18/06107.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
36
References
1
Citations
NaN
KQI