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npphen: an R-package for non-parametric reconstruction of vegetation phenology and anomaly detection using remote sensing
[article]
2018
bioRxiv
pre-print
For ecologists, the challenge at using remote sensing tools is to convert spectral data into ecologically relevant information like abundance, productivity or traits distribution. Among these features, plant phenology is one of the most used variables in any study applying remote sensing to plant ecology and it has formally considered as one of the Essential Biodiversity Variables. Currently, satellite imagery make possible cost-efficient monitoring of land surface phenology (LSP), but methods
doi:10.1101/301143
fatcat:cbe32kyunrdgtnmqdgnria2poi