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dc.contributorTaylor & Francises_CL
dc.contributor.authorPena, Marco [Chile. Universidad Mayor]es_CL
dc.contributor.authorSchmidt, Andreas [Alemania. University of Munster]es_CL
dc.contributor.authorSchmidt, Harald [Universidad de Chile]es_CL
dc.contributor.authorSchulte, Andreas [Alemania. University of Munster]es_CL
dc.date.accessioned2018-09-07T13:04:11Z
dc.date.available2018-09-07T13:04:11Z
dc.date.issued2012es_CL
dc.identifier.citationMarcela Poulain, Marco Peña, Andreas Schmidt, Harald Schmidt & Andreas Schulte (2012) Aboveground biomass estimation in intervened and non-intervened Nothofagus pumilio forests using remotely sensed data, International Journal of Remote Sensing, 33:12, 3816-3833, 10.1080/01431161.2011.635716es_CL
dc.identifier.issnISSN 0143-1161es_CL
dc.identifier.issnESSN 1366-5901es_CL
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/01431161.2011.635716?scroll=top&needAccess=truees_CL
dc.identifier.urihttps://doi.org/10.1080/01431161.2011.635716es_CL
dc.identifier.urihttp://repositorio.umayor.cl/xmlui/handle/sibum/2629
dc.description.abstractForest inventory data can be used along with remotely sensed data to estimate biomass and carbon stocks over large and inaccessible forested areas. In this study, the relationship between satellite-derived multispectral data and forest variables from intervened and non-intervened Nothofagus pumilio forest stands located in the Magellan region of Chile was examined, in order to quantify the over bark volume (OBV) and aboveground tree biomass (AGTB). Four vegetation parameters – the green normalised difference vegetation index (GNDVI), normalised difference vegetation index (NDVI), simple ratio (SR) and vegetation cover fraction (VCF) – were retrieved from an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image of the study area. The results indicate that only the VCF presents significant differences among intervened and non-intervened stands. The best OBV and AGTB models (R2 = 0.58) were found using the SR index and the VCF as predictors. This result could be transferred to estimate biomass and volume in other Nothofagus pumilio forests with similar conditions. Moreover, it can be used to assess temporal carbon changes.es_CL
dc.description.sponsorshipEste trabajo no contó con financiamiento.es_CL
dc.format.extentARTÍCULO ORIGINALes_CL
dc.language.isoenes_CL
dc.publisherCIENCIASes_CL
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chilees_CL
dc.subjectCIENCIA Y TECNOLOGÍAes_CL
dc.titleAboveground biomass estimation in intervened and non-intervened Nothofagus pumilio forests using remotely sensed dataes_CL
dc.typeArtículo o Paperes_CL
umayor.indizadorCOTes_CL
umayor.politicas.sherpa/romeoLicencia color: VERDE C/R (Se puede archivar el pre-print y el post-print o versión de editor/PDF, el autor no puede archivar la versión del editor/PDF)--Algunas revistas individuales pueden tener políticas que prohíben el archivo de pre-prints En el sitio web personal o departamental del autor de manera inmediata On institutional repository or subject-based repository after either 12 months embargo La versión de editor/PDF no puede utilizarse En un servidor sin ánimo de lucro La fuente editorial debe reconocerse Debe ir enlazado a la versión de editor Los depósitos deben acompañarse de las declaraciones establecidas (ver Política) The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository// Disponible en: http://www.sherpa.ac.uk/romeo/issn/0143-1161/es/es_CL
umayor.indexadoWOSes_CL
umayor.indexadoSCOPUSes_CL
dc.identifier.doi10.1080/01431161.2011.635716es_CL]
umayor.indicadores.wos-(cuartil)Q3es_CL
umayor.indicadores.scopus-(scimago-sjr)sin informaciónes_CL


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