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dc.contributor.authorVicente Guijalba, F.
dc.contributor.authorDuro, Javier
dc.contributor.authorNotarnicola, Claudia
dc.contributor.authorJacob, Alexander
dc.contributor.authorMallorquí Franquet, Jordi Joan
dc.contributor.authorLópez Martínez, Carlos
dc.contributor.authorPottier, Eric
dc.contributor.authorLópez Sánchez, Juan Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2019-03-13T18:05:13Z
dc.date.issued2017
dc.identifier.citationVicente, F. [et al.]. Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring. A: International Workshop on the Analysis of Multitemporal Remote Sensing Images. "2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017): Brugge, Belgium: 27-29 June 2017". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-3.
dc.identifier.isbn9781538633281
dc.identifier.urihttp://hdl.handle.net/2117/130413
dc.description.abstractThis paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap “EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING”. The project evaluates the performance of using the interferometric coherence of S-1 time series for land cover and vegetation mapping. One of the main objectives of the project is to quantify the impact in using S-1 InSAR (Interferometric Synthetic Aperture Radar) data relative to traditional land cover and vegetation mapping using optical data (especially Sentinel-2, hereafter named S-2) or SAR-based (Synthetic Aperture Radar) approaches. In this framework, a Round-Robin consultation is used to assess the performances of the different classification methodologies.
dc.format.extent3 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.otherCoherence
dc.subject.otherSentinel-1
dc.subject.otherLand-cover
dc.subject.otherVegetation
dc.titleAssessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring
dc.typeConference report
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/Multi-Temp.2017.8035240
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8035240
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac23836787
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorVicente, F.; Duro, J.; Notarnicola, C.; Jacob, A.; Mallorqui, J.J.; Lopez, C.; Pottier, E.; López , J.
local.citation.contributorInternational Workshop on the Analysis of Multitemporal Remote Sensing Images
local.citation.publicationName2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017): Brugge, Belgium: 27-29 June 2017
local.citation.startingPage1
local.citation.endingPage3


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