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Aboveground biomass estimation in intervened and non-intervened Nothofagus pumilio forests using remotely sensed data

Autordc.contributor.authorPoulain, Marcela 
Autordc.contributor.authorPeña, Marco es_CL
Autordc.contributor.authorSchmidt, Andreas es_CL
Autordc.contributor.authorSchmidt Van Marle, Harald es_CL
Autordc.contributor.authorSchulte, Andreas es_CL
Fecha ingresodc.date.accessioned2012-06-27T20:47:45Z
Fecha disponibledc.date.available2012-06-27T20:47:45Z
Fecha de publicacióndc.date.issued2012-06-20
Cita de ítemdc.identifier.citationInternational Journal of Remote Sensing Vol. 33, No. 12, 20 June 2012, 3816–3833es_CL
Identificadordc.identifier.urihttp://www.repositorio.uchile.cl/handle/2250/120372
Nota generaldc.descriptionArtículo de publicación ISIes_CL
Resumendc.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 theMagellan 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
Idiomadc.language.isoenes_CL
Publicadordc.publisherTaylor & Francises_CL
Títulodc.titleAboveground biomass estimation in intervened and non-intervened Nothofagus pumilio forests using remotely sensed dataes_CL
Tipo de documentodc.typeArtículo de revistaes_CL


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