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dc.contributor.authorGomez, Cristina
dc.contributor.authorWhite, Joanne C.
dc.contributor.authorWulder, Michael A.
dc.contributor.authorAlejandro, Pablo
dc.date.accessioned2014-04-30T10:58:02Z
dc.date.available2014-04-30T10:58:02Z
dc.date.issued2014-07
dc.identifier.citationGomez , C , White , J C , Wulder , M A & Alejandro , P 2014 , ' Historical forest biomass dynamics modelled with Landsat spectral trajectories ' , ISPRS Journal of Photogrammetry and Remote Sensing , vol. 93 , pp. 14-28 . https://doi.org/10.1016/j.isprsjprs.2014.03.008en
dc.identifier.otherPURE: 34972112
dc.identifier.otherPURE UUID: 23daff9d-ee41-4d41-98d0-39557bf0ffdc
dc.identifier.otherScopus: 84898791866
dc.identifier.urihttp://hdl.handle.net/2164/3236
dc.descriptionAcknowledgements National Forest Inventory data are available online, provided by Ministerio de Agricultura, Alimentación y Medio Ambiente (España). Landsat images are available online, provided by the USGS.en
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofISPRS Journal of Photogrammetry and Remote Sensingen
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ISPRS Journal of Photogrammetry and Remote Sensing, [VOL 93, (2014) DOI: 10.1016/j.isprsjprs.2014.03.008en
dc.subjectremote sensingen
dc.subjecttime seriesen
dc.subjectretrospectiveen
dc.subjectabove ground biomassen
dc.subjectlandsaten
dc.subjectwavelet transformen
dc.subjectdynamic time warpingen
dc.subjectnational forest inventoryen
dc.subjectSpainen
dc.subjectGE Environmental Sciencesen
dc.subject.lccGEen
dc.titleHistorical forest biomass dynamics modelled with Landsat spectral trajectoriesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.isprsjprs.2014.03.008


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