Show simple item record

Authordc.contributor.authorChávez, Roberto O. 
Authordc.contributor.authorRocco, Ronald 
Authordc.contributor.authorGutiérrez, Álvaro G. 
Authordc.contributor.authorDörner, Marcelo 
Authordc.contributor.authorEstay, Sergio A. 
Cita de ítemdc.identifier.citationRemote Sensing, Volumen 11, Issue 2, 2019,
Abstractdc.description.abstractFolivorous insects cause some of the most ecologically and economically important disturbances in forests worldwide. For this reason, several approaches have been developed to exploit the temporal richness of available satellite time series data to detect and quantify insect forest defoliation. Current approaches rely on parametric functions to describe the natural annual phenological cycle of the forest, from which anomalies are calculated and used to assess defoliation. Quantification of the natural variability of the annual phenological baseline is limited in parametric approaches, which is critical to evaluating whether an observed anomaly is "true" defoliation or only part of the natural forest variability. We present here a fully self-calibrated, non-parametric approach to reconstruct the annual phenological baseline along with its confidence intervals using the historical frequency of a vegetation index (VI) density, accounting for the natural forest pheno
Publisherdc.publisherMDPI AG
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.uri
Sourcedc.sourceRemote Sensing
Keywordsdc.subjectForest monitoring
Keywordsdc.subjectInsect outbreak
Keywordsdc.subjectKernel density
Keywordsdc.subjectPest management
Títulodc.titleA self-calibrated non-parametric time series analysis approach for assessing insect defoliation of broad-leaved deciduous Nothofagus pumilio forests
Document typedc.typeArtículo de revista
dcterms.accessRightsdcterms.accessRightsAcceso Abierto
Indexationuchile.indexArtículo de publicación SCOPUS

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile