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High resolution soil moisture retrieval using optical and GNSS-R airborne data

dc.contributor.authorCastellví Esturi, Jordi
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorCorbera, Jordi
dc.contributor.authorAlamús, Ramón
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2020-02-18T18:03:45Z
dc.date.issued2019
dc.identifier.citationCastellvi, J. [et al.]. High resolution soil moisture retrieval using optical and GNSS-R airborne data. A: IEEE International Geoscience and Remote Sensing Symposium. "2019 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 28-August 2, 2019: Yokohama, Japan". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 6209-6210.
dc.identifier.isbn978-1-5386-9155-7
dc.identifier.urihttp://hdl.handle.net/2117/178011
dc.description.abstractSoil moisture is a key indicator for the management of a resource as precious and scarce as water. Sectors such as agriculture, environmental monitoring, and territory management, need to know the soil hydrological stress to take the appropriate actions. This work describes the second campaign conducted in the framework of the HUMIT project to test the readiness of data fusion techniques to retrieve high resolution soil moisture from hyperspectral and GNSS-R data. The results of the HUMIT project support the feasibility of a combined 6U CubeSat optical and GNSS-R mission for soil moisture monitoring. This second flight was carried out on October 22 nd 2018 near Balaguer (41.79° N, 0.80° E), over an agricultural area of approximately 4 km 2 .
dc.format.extent2 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshRemote sensing
dc.subject.lcshSoil moisture
dc.subject.otherAgriculture
dc.subject.otherEnvironmental monitoring (geophysics)
dc.subject.otherHydrological techniques
dc.subject.otherMoisture
dc.subject.otherSensor fusion
dc.subject.otherSoil
dc.titleHigh resolution soil moisture retrieval using optical and GNSS-R airborne data
dc.typeConference lecture
dc.subject.lemacTeledetecció
dc.subject.lemacSòls -- Humitat
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/IGARSS.2019.8900488
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8900488&isnumber=8897702
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac26973982
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//ESP2015-70014-C2-1-R/ES/TECNICAS AVANZADAS EN TELEDETECCION APLICADA USANDO SEÑALES GNSS Y OTRAS SEÑALES DE OPORTUNIDAD/
dc.date.lift10000-01-01
local.citation.authorCastellvi, J.; Camps, A.; Corbera, J.; Alamús, R.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.publicationName2019 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 28-August 2, 2019: Yokohama, Japan
local.citation.startingPage6209
local.citation.endingPage6210


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