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dc.contributorEscuela Superior y Tecnica de Ingenieros de Minases_ES
dc.contributor.authorÁlvarez Taboada, María Flor 
dc.contributor.authorRodríguez Pérez, José Ramón 
dc.contributor.authorAsenjo Gómez, A
dc.contributor.otherIngeniería Cartografica, Geodesica y Fotogrametriaes_ES
dc.date2005-05-12
dc.date.accessioned2013-05-29T16:19:11Z
dc.date.available2013-05-29T16:19:11Z
dc.date.issued2013-05-29
dc.identifier.citationForestSat, 2005, Boras, Sueciaes_ES
dc.identifier.urihttp://hdl.handle.net/10612/2682
dc.description.abstractIn a standard supervised clasification, increases in land map classification accuracy have been obtained by including topographic attributes as inputs to the classification algorithm. In this study we investigate the potential of such data as a means to increase the accuracy of supervised forest change detection using Landsat 5 imagery in a target area located in El Bierzo (León). Pinus radiata plantations are the most important forest stands in this area, concening stocks and the economic interest of the owners and timber purchaserses_ES
dc.languageenges_ES
dc.subjectIngeniería agrícolaes_ES
dc.subject.otherTeledetecciónes_ES
dc.subject.otherPinus radiataes_ES
dc.subject.otherDEMes_ES
dc.titleIntegration of DEM data with satellite imagery for forest change detectiones_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.type.otherinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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