Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/96449
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Piles, María | - |
dc.contributor.author | Vall-llossera, Mercè | - |
dc.contributor.author | Camps, Adriano | - |
dc.contributor.author | Sánchez, Nilda | - |
dc.contributor.author | Martínez-Fernández, José | - |
dc.contributor.author | Martínez, Justino | - |
dc.contributor.author | González Gambau, Verónica | - |
dc.contributor.author | Riera-Tatché, Ramon | - |
dc.date.accessioned | 2014-05-09T10:44:20Z | - |
dc.date.available | 2014-05-09T10:44:20Z | - |
dc.date.issued | 2013-07-25 | - |
dc.identifier | isbn: 978-1-4799-1114-1 | - |
dc.identifier.citation | IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) (2013) | es_ES |
dc.identifier.uri | http://hdl.handle.net/10261/96449 | - |
dc.description | IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Remote Sensing for a Dynamic Earth, 21-26 July 2013, Melbourne, Australia | es_ES |
dc.description.abstract | An innovative downscaling approach to obtain fine-scale soil moisture estimates from 40 km SMOS observations has been developed. It optimally blends SMOS multi-angular and full-polarimetric information with MODIS visible/data into high resolution soil moisture maps. The core of the algorithm is a model that linksmicrowave/optical sensitivity to soilmoisture and linearly relates the two instruments across spatial scales. This algorithm has been implemented at SMOS-BEC facilities and near real-time maps of disaggregated soil moisture over the Iberian Peninsula are being distributed. In this work, the temporal and spatial variability of these maps is evaluated through comparison with ground-basedmesurements acquired at the REMEDHUS soil moisture network, in the central part of the Duero basin, Spain. Results from a two-year time-series comparison show that downscaled soil moisture maps compare well with in situ data and nicely reproduce soil moisture dynamics at a 1 km spatial scale | - |
dc.language.iso | eng | es_ES |
dc.rights | closedAccess | es_ES |
dc.title | On the synergy of SMOS and Terra/Aqua MODIS: High resolution soil moisture maps in near real-time | es_ES |
dc.type | capítulo de libro | es_ES |
dc.identifier.doi | 10.1109/IGARSS.2013.6723564 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/IGARSS.2013.6723564 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_3248 | es_ES |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.openairetype | capítulo de libro | - |
Aparece en las colecciones: | (ICM) Libros y partes de libros |
CORE Recommender
WEB OF SCIENCETM
Citations
11
checked on 23-nov-2021
Page view(s)
359
checked on 22-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.