A spatially consistent downscaling approach for SMOS using an adaptive window

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor	Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
dc.contributor.author	Portal González, Gerard
dc.contributor.author	Vall-Llossera Ferran, Mercedes Magdalena
dc.contributor.author	Piles de la Fuente, María Pilar
dc.contributor.author	Camps Carmona, Adriano José
dc.contributor.author	Chaparro Danon, David
dc.contributor.author	Pablos Hernández, Miriam
dc.contributor.author	Rossato, Luciana
dc.date	2017
dc.identifier.citation	Portal, G. [et al.]. A spatially consistent downscaling approach for SMOS using an adaptive window. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2017: International Geoscience and Remote Sensing Symposium: Texas, Estats Units: July 23-28, 2017: proceedings book". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 5022-5025.
dc.identifier.citation	978-1-5090-4951-6
dc.identifier.citation	10.1109/IGARSS.2017.8127915
dc.identifier.uri	http://hdl.handle.net/2117/128591
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	https://ieeexplore.ieee.org/document/8127915
dc.relation	info:eu-repo/grantAgreement/ES/1PE/ESP2015-67549-C3-1-R
dc.relation	info:eu-repo/grantAgreement/ES/1PE/MDM-2016-0600
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject	Remote sensing
dc.subject	Soil moisture
dc.subject	Soil moisture
dc.subject	SMOS
dc.subject	BEC
dc.subject	Adaptive moving window
dc.subject	REMEDHUS
dc.subject	Teledetecció
dc.subject	Sòls -- Humitat
dc.title	A spatially consistent downscaling approach for SMOS using an adaptive window
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The ESA's Soil Moisture and Ocean Salinity (SMOS, 2009-2017) is the first mission using L-band radiometry to monitor the Earth's global surface soil moisture (SM). After more than 7 years in orbit, many studies have contributed to improving the quality and applicability of SMOS-derived SM maps. In this research, a novel downscaling algorithm is proposed for retrieving high resolution (1 km) SM. This model is an extension of the “universal triangle” technique, and also introduces the concept of adaptive moving window. Its inputs are the low resolution SMOS BEC L3 SM and the brightness temperatures at vertical and horizontal polarizations (SMOS L1C), and the high resolution NDVI and LST from optically-based sensors. The proposed method allows obtaining high resolution SM maps worldwide, with no limitation in extension.
dc.description.abstract	Peer Reviewed

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