Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission
Special issue Polar Sea Ice: Detection, Monitoring and Modeling.-- 20 pages. 10 figures, 2 tables.-- Data used in this study will be publicly and freely available for everyone at the Copernicus system as part of the FSSCat mission
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/237955 |
| Acceso en línea: | http://hdl.handle.net/10261/237955 |
| Access Level: | acceso abierto |
| Palabra clave: | Predictive regression neural networks Sea ice thickness Microwave radiometry CubeSats |
| Sumario: | Special issue Polar Sea Ice: Detection, Monitoring and Modeling.-- 20 pages. 10 figures, 2 tables.-- Data used in this study will be publicly and freely available for everyone at the Copernicus system as part of the FSSCat mission |
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