PhenoGu: Phenology extraction in GU method (GU)

In phenofit: Extract Remote Sensing Vegetation Phenology

Phenology extraction in GU method (GU)

Description

Phenology extraction in GU method (GU)

Usage

PhenoGu(x, t, ...)

## S3 method for class 'fFIT'
PhenoGu(x, t = NULL, analytical = FALSE, smoothed.spline = FALSE, ...)

## Default S3 method:
PhenoGu(x, t, der1, IsPlot = TRUE, ...)

Arguments

x	numeric vector, or fFIT object returned by curvefit().
t	doy vector, corresponding doy of vegetation index.
...	other parameters to PhenoGu.default() or PhenoGu.fFIT()
analytical	If true, numDeriv package grad and hess will be used; if false, D1 and D2 will be used.
smoothed.spline	Whether apply smooth.spline first?
der1	the first order difference
IsPlot	whether to plot?

Value

A numeric vector, with the elements of:

• UD: upturn date

• SD: stabilisation date

• DD: downturn date

• RD: recession date

References

1. Gu, L., Post, W. M., Baldocchi, D. D., Black, T. A., Suyker, A. E., Verma, S. B., … Wofsy, S. C. (2009). Characterizing the Seasonal Dynamics of Plant Community Photosynthesis Across a Range of Vegetation Types. In A. Noormets (Ed.), Phenology of Ecosystem Processes: Applications in Global Change Research (pp. 35–58). New York, NY: Springer New York. doi: 10.1007/978-1-4419-0026-5_2

2. Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., … Richardson, A. D. (2016). Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology, 220, 141–150. doi: 10.1016/j.agrformet.2016.01.006

Examples

# `doubleLog.Beck` simulate vegetation time-series
t    <- seq(1, 365, 8)
tout <- seq(1, 365, 1)
par  = c( mn  = 0.1 , mx  = 0.7 , sos = 50 , rsp = 0.1 , eos = 250, rau = 0.1)
y <- doubleLog.Beck(par, t)

methods <- c("AG", "Beck", "Elmore", "Gu", "Zhang") # "Klos" too slow
fit <- curvefit(y, t, tout, methods)
x <- fit$model$AG # one model

par(mfrow = c(2, 2))
PhenoTrs(x)
PhenoDeriv(x)
PhenoGu(x)
PhenoKl(x)

phenofit documentation built on Feb. 16, 2023, 6:21 p.m.