Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/257544COMPARTIR / EXPORTAR:
 SHARE
BASE
|
|
| Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
| Título: | Sea Ice Concentration and Sea Ice Extent Mapping with the Fsscat Mission: A Neural Network Approach |
Autor: | Llaveria, David; Muñoz-Martín, Joan Francesc; Herbert, Christoph; Pablos, Miriam CSIC ORCID ; Camps, Adriano CSIC ORCID; Park, Hyuk | Fecha de publicación: | jul-2021 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS: 7823-7826 (2011) | Resumen: | Knowledge about sea ice concentration and extent in polar regions is of great interest both for economic interests, and as a proxy of the climate change. Retrieved maps are based on data from microwave radiometers, which are currently provided by large satellite missions. Nowadays, CubeSats have proven to be a cost-effective alternative. Due to their low cost, they can be launched in large constellations to obtain high spatial coverage and daily revisit. This study presents a neural network approach to generate sea ice concentration and sea ice extension maps using the L-band microwave radiometer, and the GNSS-Reflectometer data from the FMPL-2 instrument onboard 3 Cat-5/A, one of the two CubeSats of the FSSCat mission. The results obtained during the first 2 months of the mission are presented | Descripción: | 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 11-16 July 2021, Brussels, Belgium.-- 4 pages, 4 figures | Versión del editor: | https://doi.org/10.1109/IGARSS47720.2021.9554793 | URI: | http://hdl.handle.net/10261/257544 | DOI: | 10.1109/IGARSS47720.2021.9554793 | ISBN: | 978-1-6654-0369-6 |
| Aparece en las colecciones: | (ICM) Libros y partes de libros |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| Llaveria_et_al_2021_postprint.pdf | 459,85 kB | Adobe PDF |  Visualizar/Abrir |
CORE Recommender
Page view(s)
42
checked on 27-abr-2024
Download(s)
47
checked on 27-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.