npphen: An R-Package for Detecting and Mapping Extreme Vegetation Anomalies Based on Remotely Sensed Phenological Variability

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dc.contributor.authorChavez, Roberto O.
dc.contributor.authorEstay, Sergio A.
dc.contributor.authorLastra, Jose A.
dc.contributor.authorRiquelme, Carlos G.
dc.contributor.authorOlea, Matias
dc.contributor.authorAguayo, Javiera
dc.contributor.authorDecuyper, Mathieu
dc.date.accessioned2025-01-20T20:19:20Z
dc.date.available2025-01-20T20:19:20Z
dc.date.issued2023
dc.description.abstractMonitoring vegetation disturbances using long remote sensing time series is crucial to support environmental management, biodiversity conservation, and adaptation strategies to climate change from global to local scales. However, it is difficult to assess whether a remotely detected vegetation disturbance is critical or not, since available operational remote sensing methods deliver only maps of the vegetation anomalies but not maps of how "uncommon" or "extreme" the detected anomalies are based on the available records of the reference period. In this technical note, we present a new release of the probabilistic method and its implementation, the npphen R package, designed to detect not only vegetation anomalies from remotely sensed vegetation indices, but also to quantify the position of the anomalous observations within the historical frequency distribution of the phenological annual records. This version of the R package includes two new key functions to detect and map extreme vegetation anomalies: ExtremeAnom and ExtremeAnoMap. The npphen package allows remote sensing users to detect vegetation changes for a wide range of ecosystems, taking advantage of the flexibility of kernel density estimations to account for any shape of annual phenology and its variability through time. It provides a uniform statistical framework to study all types of vegetation dynamics, contributing to global monitoring efforts such as the GEO-BON Essential Biodiversity Variables.
dc.fuente.origenWOS
dc.identifier.doi10.3390/rs15010073
dc.identifier.eissn2072-4292
dc.identifier.urihttps://doi.org/10.3390/rs15010073
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/92517
dc.identifier.wosidWOS:000909903800001
dc.issue.numero1
dc.language.isoen
dc.revistaRemote sensing
dc.rightsacceso restringido
dc.subjectdisturbance
dc.subjectremote sensing
dc.subjecttime series
dc.subjectclimate change
dc.subjectEBV
dc.subjectGEO-BON
dc.subject.ods13 Climate Action
dc.subject.ods15 Life on Land
dc.subject.odspa13 Acción por el clima
dc.subject.odspa15 Vida de ecosistemas terrestres
dc.titlenpphen: An R-Package for Detecting and Mapping Extreme Vegetation Anomalies Based on Remotely Sensed Phenological Variability
dc.typeartículo
dc.volumen15
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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