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dc.contributor.authorSanchez, Nilda
dc.contributor.authorAlonso Arroyo, Alberto
dc.contributor.authorMartinez Fernandez, Jose
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorGonzalez Zamora, Angel
dc.contributor.authorPablos Hernández, Miriam
dc.contributor.authorHerrero Jimenez, Carlos M.
dc.contributor.authorGumuzzio, Angela
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-01-18T15:01:53Z
dc.date.issued2015
dc.identifier.citationSanchez, N., Alonso-Arroyo, A., Martinez, J., Camps, A., Gonzalez, A., Pablos, M., Herrero, C., Gumuzzio, A. Multisensor experiments over vineyard: new challenges for the GNSS-R technique. A: International Symposium on Remote Sensing of Environment. "ISPRS Archives: 36th International Symposium on Remote Sensing of Environment (Volume XL-7/W3), 11–15 May 2015, Berlin, Germany". Berlin: 2015, p. 1299-1303.
dc.identifier.urihttp://hdl.handle.net/2117/81617
dc.description.abstractAn airborne campaign was performed during August, 2014 in an agricultural area in the Duero basin (Spain) in order to appraise the synergy between very different sources of Earth Observation imagery, and very different instruments for soil moisture retrieval. During the flight, an intensive field campaign comprising soil, plant and spectral measurements was carried out. An innovative sensor based on the Global Navigation Satellite Systems Reflectometry (GNSS-R) was on board the manned vehicle, the Light Airborne Reflectometer for GNSS-R Observations (LARGO) engineered by the Universitat Politècnica de Catalunya. While the synergy between thermal, optical and passive microwave spectra observations is well known for vegetation parameters and soil moisture retrievals, the experiment aimed to evaluate the synergy of GNSS-R reflectivity with a time-collocated Landsat 8 imagery for soil moisture retrieval under semiarid climatic conditions. LARGO estimates, field measurements, and optical, NIR, SWIR and thermal bands from Landsat 8 were compared. Results showed that the joint use of GNSS-R reflectivity with vegetation and water indices together with thermal maps from Landsat 8 thoroughly improved the soil moisture estimation.
dc.format.extent5 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Agricultura::Viticultura
dc.subject.lcshSoil moisture
dc.subject.lcshRemote sensing
dc.subject.otherAirborne
dc.subject.otherGNSS-R
dc.subject.otherLandsat
dc.subject.otherMultispectral
dc.subject.otherSoil moisture
dc.subject.otherThermal
dc.subject.otherVineyard
dc.titleMultisensor experiments over vineyard: new challenges for the GNSS-R technique
dc.typeConference lecture
dc.subject.lemacSòls -- Humitat
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.5194/isprsarchives-XL-7-W3-1299-2015
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1299/2015/isprsarchives-XL-7-W3-1299-2015.pdf
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac16678622
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSanchez, N.; Alonso-Arroyo, A.; Martinez, J.; Camps, A.; Gonzalez, A.; Pablos, M.; Herrero, C.; Gumuzzio, A.
local.citation.contributorInternational Symposium on Remote Sensing of Environment
local.citation.pubplaceBerlin
local.citation.publicationNameISPRS Archives: 36th International Symposium on Remote Sensing of Environment (Volume XL-7/W3), 11–15 May 2015, Berlin, Germany
local.citation.startingPage1299
local.citation.endingPage1303


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