Microwave and optical data fusion for global mapping of soil moisture at high resolution

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/129967

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 Guillem, Maria
dc.contributor.author	Camps Carmona, Adriano José
dc.contributor.author	Chaparro Danon, David
dc.contributor.author	Pablos Hernánez, Miriam
dc.contributor.author	Rossato, Luciana
dc.contributor.author	Aabouch, Khalid
dc.date	2018
dc.identifier.citation	Portal, G. [et al.]. Microwave and optical data fusion for global mapping of soil moisture at high resolution. A: IEEE International Geoscience and Remote Sensing Symposium. "2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 341-344.
dc.identifier.citation	978-1-5386-7150
dc.identifier.citation	10.1109/IGARSS.2018.8518129
dc.identifier.uri	http://hdl.handle.net/2117/129967
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	https://ieeexplore.ieee.org/document/8518129
dc.relation	info:eu-repo/grantAgreement/ES/1PE/ESP2015-67549-C3-1-R
dc.relation	info:eu-repo/grantAgreement/AEI/2PE/ESP2017-89463-C3-2-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	Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Edafologia
dc.subject	Remote sensing
dc.subject	Soil moisture
dc.subject	Soil moisture
dc.subject	SMOS
dc.subject	Downscaling
dc.subject	Adaptive moving window
dc.subject	In-situ stations
dc.subject	ERA5
dc.subject	Teledetecció
dc.subject	Sòls -- Humitat
dc.title	Microwave and optical data fusion for global mapping of soil moisture at high resolution
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	After more than 8 years in orbit the Soil Moisture and Ocean Salinity (SMOS) satellite is still in good health and several algorithms for improving its spatial resolution have been proposed and validated in a variety of catchments. However, none of them has yet been applied at the global scale. In this article we present: i) a review of the latest SMOS-BEC downscaling algorithm, which allows for its global application using an adaptive moving window and ii) a thorough validation of the resulting maps over two in-situ networks: REMEDHUS in Spain and OzNet in Australia. The proposed algorithm combines SMOS brightness temperatures (at ~40 km spatial resolution), and MODIS-derived Land Surface Temperature and Normalized Differenced Vegetation Index (at 1 km), into 1km soil moisture maps. This paper also presents a variant of the algorithm, which allows for cloud-free retrievals. A statistical comparison has been carried out when the MODIS Land Surface Temperature is replaced in the algorithm by the one provided by the ERA5 reanalysis. Fine-scale estimates show good agreement in terms of correlation and root-mean-squared error with in-situ soil moisture.
dc.description.abstract	Peer Reviewed

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