Mostrar el registro sencillo del ítem

dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorÁlvarez Martínez, José Manuel
dc.contributor.authorStoorvogel, Jetse J.
dc.contributor.authorSuárez Seoane, Susana 
dc.contributor.authorLuis Calabuig, Estanislao 
dc.contributor.otherEcologiaes_ES
dc.date2010-11
dc.date.accessioned2019-04-21T23:05:51Z
dc.date.available2019-04-21T23:05:51Z
dc.date.issued2019-04-22
dc.identifier.citationLandscape Ecology, 2010, vol. 25, n.9es_ES
dc.identifier.otherhttps://link.springer.com/article/10.1007/s10980-010-9492-zes_ES
dc.identifier.urihttp://hdl.handle.net/10612/10552
dc.descriptionP. 1385–1404es_ES
dc.description.abstractIn this study we developed a methodology aimed at improving the assessment of inter-annual land cover dynamics from hard classified remotely sensed data in heterogeneous and resilient landscapes. The methodology is implemented for the Spanish Natural Park of Sierra de Ancares, where human interference during the last century has resulted in the destruction and fragmentation of the original land cover. We ran supervised classifications, with a maximum likelihood algorithm (Maxlike), on a temporal series of Landsat images (1991–2005), followed by an uncertainty assessment using fuzzy classifications and confusion indices (CIs). This allowed us to show how much (and where) of the resulting maps contained a substantial amount of error, distinguishing data that might be useful to measure land change from data that are not particularly useful when applying a post-classification comparison methodology. In this way, we can detect true changes not skewed by the effects of uncertainty. Even if patterns of change were always coherent amongst years, they were more realistic after reducing uncertainty, in spite of a substantial decrease in the number of available pixels (i.e. unmasked by the method). We then computed land cover dynamics by means of a model specifically designed to determine the frequency of disturbances (mainly fire events) and the vegetation recovery time during the study period. Model outputs showed correlated landscape patterns at a broad scale and provided useful results to explore land cover change from pattern to process.es_ES
dc.languageenges_ES
dc.publisherSpringeres_ES
dc.subjectEcología. Medio ambientees_ES
dc.subject.otherConfusion indexes_ES
dc.subject.otherFire recurrencees_ES
dc.subject.otherFuzzy classificationes_ES
dc.subject.otherLand cover changees_ES
dc.subject.otherLandsates_ES
dc.subject.otherVegetation recoveryes_ES
dc.titleUncertainty analysis as a tool for refining land dynamics modelling on changing landscapes: a case study in a Spanish Natural Parkes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.peerreviewedSIes_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem