PhenoTrs: Method 'Trs' to calculate phenology metrics

In greenbrown: Land Surface Phenology and Trend Analysis

Description

This function implements threshold methods for phenology. This is rather an internal function; please use the function Phenology to apply this method.

Usage

PhenoTrs(x, approach = c("White", 
    "Trs"), trs = NULL, 
    min.mean = 0.1, calc.pheno = TRUE, 
    plot = FALSE, ...)

Arguments

x	seasonal cycle of one year
approach	approach to be used to calculate phenology metrics. 'White' (White et al. 1997) or 'Trs' for simple threshold.
trs	threshold to be used for approach "Trs"
min.mean	minimum mean annual value in order to calculate phenology metrics. Use this threshold to suppress the calculation of metrics in grid cells with low average values
calc.pheno	calculate phenology metrics or return NA?
plot	plot results?
...	further arguments (currently not used)

Value

The function returns a vector with SOS, EOS, LOS, POP, MGS, rsp, rau, PEAK, MSP and MAU.

Author(s)

Matthias Forkel <[e-mail]> [aut, cre]

References

White MA, Thornton PE, Running SW (1997) A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochem Cycles 11, 217-234.

See Also

Phenology

Examples

# perform time series processing for first year pof data
x <- TsPP(ndvi, interpolate=TRUE)[1:365]
plot(x)

# calculate phenology metrics for first year
PhenoTrs(x, plot=TRUE, approach="White")
PhenoTrs(x, plot=TRUE, approach="Trs", trs=0.25)

greenbrown documentation built on Dec. 18, 2020, 3:02 p.m.