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dc.contributor.authorNovelli, Antonio
dc.contributor.authorAguilar, Manuel A.
dc.contributor.authorNemmaoui, Abderrahim
dc.contributor.authorAguilar, Fernando J.
dc.contributor.authorTarantino, Eufemia
dc.date.accessioned2019-03-11T07:24:49Z
dc.date.available2019-03-11T07:24:49Z
dc.date.issued2016-10-01
dc.identifier.urihttp://hdl.handle.net/10835/6419
dc.description.abstracttThis paper shows the first comparison between data from Sentinel-2 (S2) Multi Spectral Instrument (MSI)and Landsat 8 (L8) Operational Land Imager (OLI) headed up to greenhouse detection. Two closely relatedin time scenes, one for each sensor, were classified by using Object Based Image Analysis and RandomForest (RF). The RF input consisted of several object-based features computed from spectral bands andincluding mean values, spectral indices and textural features. S2 and L8 data comparisons were alsoextended using a common segmentation dataset extracted form VHR World-View 2 (WV2) imagery totest differences only due to their specific spectral contribution. The best band combinations to performsegmentation were found through a modified version of the Euclidian Distance 2 index. Four differentRF classifications schemes were considered achieving 89.1%, 91.3%, 90.9% and 93.4% as the best overallaccuracies respectively, evaluated over the whole study area.es_ES
dc.language.isoenes_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/ES/MINECO/AGL2014-56017-R/ES/Identificación basada en objetos de cultivos hortícolas bajo invernadero a partir de estéreo imágenes del satélite Worldview-3 y series temporales de Landsat 8/IBOCHBIEISWSTLes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceInternational Journal of Applied Earth Observation and Geoinformation, 52, 2016, Pages 403-411es_ES
dc.subjectRemote Sensing, Agriculturees_ES
dc.titlePerformance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0303243416301180es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.jag.2016.07.011
dc.relation.projectIDAGL2014-56017-Res_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional