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The blsp R package with a Bayesian land surface phenology model

Authors: Xiaojie Gao; McGregor, Ian R.; Smith, Owen; Hinks, Isabella; Shisler, Matt;

The blsp R package with a Bayesian land surface phenology model

Abstract

This software is an R package providing the Bayesian land surface phenology (BLSP) model that quantifies long-term annual land surface phenology from temporally sparse optical remote sensing time series (originally developed for 30 m Landsat time series). For a more in-depth description, please read the paper: Long-term, medium spatial resolution annual land surface phenology with a Bayesian hierarchical model, The original repository of the software with instructions on installation and usage is on Github: https://github.com/ncsuSEAL/Bayesian_LSP.

Keywords

remote sensing, statistical model, time series, phenology, Bayesian

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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